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authorJohan B. C. Engelen <jbc.engelen@swissonline.ch>2008-07-03 20:06:40 +0000
committerjohanengelen <johanengelen@users.sourceforge.net>2008-07-03 20:06:40 +0000
commite07de7ce18ff4cc440dc8947d61825122afea062 (patch)
tree9ffdd823777582d6b5b8d3de135a03da42041402 /src/2geom/numeric
parentPatch so Inkscape will compile on Solaris 10 from LP https://bugs.launchpad.n... (diff)
downloadinkscape-e07de7ce18ff4cc440dc8947d61825122afea062.tar.gz
inkscape-e07de7ce18ff4cc440dc8947d61825122afea062.zip
update 2geom (svn rev1433)
(bzr r6134)
Diffstat (limited to 'src/2geom/numeric')
-rw-r--r--src/2geom/numeric/fitting-model.h423
-rw-r--r--src/2geom/numeric/fitting-tool.h532
-rw-r--r--src/2geom/numeric/linear_system.h227
-rw-r--r--src/2geom/numeric/matrix.cpp115
-rw-r--r--src/2geom/numeric/matrix.h762
-rw-r--r--src/2geom/numeric/vector.h750
6 files changed, 2328 insertions, 481 deletions
diff --git a/src/2geom/numeric/fitting-model.h b/src/2geom/numeric/fitting-model.h
new file mode 100644
index 000000000..145be40e4
--- /dev/null
+++ b/src/2geom/numeric/fitting-model.h
@@ -0,0 +1,423 @@
+/*
+ * Fitting Models for Geom Types
+ *
+ * Authors:
+ * Marco Cecchetti <mrcekets at gmail.com>
+ *
+ * Copyright 2008 authors
+ *
+ * This library is free software; you can redistribute it and/or
+ * modify it either under the terms of the GNU Lesser General Public
+ * License version 2.1 as published by the Free Software Foundation
+ * (the "LGPL") or, at your option, under the terms of the Mozilla
+ * Public License Version 1.1 (the "MPL"). If you do not alter this
+ * notice, a recipient may use your version of this file under either
+ * the MPL or the LGPL.
+ *
+ * You should have received a copy of the LGPL along with this library
+ * in the file COPYING-LGPL-2.1; if not, write to the Free Software
+ * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
+ * You should have received a copy of the MPL along with this library
+ * in the file COPYING-MPL-1.1
+ *
+ * The contents of this file are subject to the Mozilla Public License
+ * Version 1.1 (the "License"); you may not use this file except in
+ * compliance with the License. You may obtain a copy of the License at
+ * http://www.mozilla.org/MPL/
+ *
+ * This software is distributed on an "AS IS" basis, WITHOUT WARRANTY
+ * OF ANY KIND, either express or implied. See the LGPL or the MPL for
+ * the specific language governing rights and limitations.
+ */
+
+
+#ifndef _NL_FITTING_MODEL_H_
+#define _NL_FITTING_MODEL_H_
+
+
+#include <2geom/d2.h>
+#include <2geom/sbasis.h>
+#include <2geom/bezier.h>
+#include <2geom/bezier-curve.h>
+#include <2geom/poly.h>
+#include <2geom/ellipse.h>
+#include <2geom/utils.h>
+
+
+namespace Geom { namespace NL {
+
+
+/*
+ * completely unknown models must inherit from this template class;
+ * example: the model a*x^2 + b*x + c = 0 to be solved wrt a, b, c;
+ * example: the model A(t) = known_sample_value_at(t) to be solved wrt
+ * the coefficients of the curve A(t) expressed in S-Basis form;
+ * parameter type: the type of x and t variable in the examples above;
+ * value type: the type of the known sample values (in the first example
+ * is constant )
+ * instance type: the type of the objects produced by using
+ * the fitting raw data solution
+ */
+template< typename ParameterType, typename ValueType, typename InstanceType >
+class LinearFittingModel
+{
+ public:
+ typedef ParameterType parameter_type;
+ typedef ValueType value_type;
+ typedef InstanceType instance_type;
+
+ static const bool WITH_FIXED_TERMS = false;
+
+ /*
+ * a LinearFittingModel must implement the following methods:
+ *
+ * void feed( VectorView & vector,
+ * parameter_type const& sample_parameter ) const;
+ *
+ * size_t size() const;
+ *
+ * void instance(instance_type &, raw_type const& raw_data) const;
+ *
+ */
+};
+
+
+/*
+ * partially known models must inherit from this template class
+ * example: the model a*x^2 + 2*x + c = 0 to be solved wrt a and c
+ */
+template< typename ParameterType, typename ValueType, typename InstanceType >
+class LinearFittingModelWithFixedTerms
+{
+ public:
+ typedef ParameterType parameter_type;
+ typedef ValueType value_type;
+ typedef InstanceType instance_type;
+
+ static const bool WITH_FIXED_TERMS = true;
+
+ /*
+ * a LinearFittingModelWithFixedTerms must implement the following methods:
+ *
+ * void feed( VectorView & vector,
+ * value_type & fixed_term,
+ * parameter_type const& sample_parameter ) const;
+ *
+ * size_t size() const;
+ *
+ * void instance(instance_type &, raw_type const& raw_data) const;
+ *
+ */
+
+
+};
+
+
+// incomplete model, it can be inherited to make up different kinds of
+// instance type; the raw data is a vector of coefficients of a polynomial
+// rapresented in standard power basis
+template< typename InstanceType >
+class LFMPowerBasis
+ : public LinearFittingModel<double, double, InstanceType>
+{
+ public:
+ LFMPowerBasis(size_t degree)
+ : m_size(degree + 1)
+ {
+ }
+
+ void feed( VectorView & coeff, double sample_parameter ) const
+ {
+ coeff[0] = 1;
+ double x_i = 1;
+ for (size_t i = 1; i < coeff.size(); ++i)
+ {
+ x_i *= sample_parameter;
+ coeff[i] = x_i;
+ }
+ }
+
+ size_t size() const
+ {
+ return m_size;
+ }
+
+ private:
+ size_t m_size;
+};
+
+
+// this model generates Geom::Poly objects
+class LFMPoly
+ : public LFMPowerBasis<Poly>
+{
+ public:
+ LFMPoly(size_t degree)
+ : LFMPowerBasis<Poly>(degree)
+ {
+ }
+
+ void instance(Poly & poly, ConstVectorView const& raw_data) const
+ {
+ poly.clear();
+ poly.resize(size());
+ for (size_t i = 0; i < raw_data.size(); ++i)
+ {
+ poly[i] = raw_data[i];
+ }
+ }
+};
+
+
+// incomplete model, it can be inherited to make up different kinds of
+// instance type; the raw data is a vector of coefficients of a polynomial
+// rapresented in standard power basis with leading term coefficient equal to 1
+template< typename InstanceType >
+class LFMNormalizedPowerBasis
+ : public LinearFittingModelWithFixedTerms<double, double, InstanceType>
+{
+ public:
+ LFMNormalizedPowerBasis(size_t _degree)
+ : m_model( _degree - 1)
+ {
+ assert(_degree > 0);
+ }
+
+
+ void feed( VectorView & coeff,
+ double & known_term,
+ double sample_parameter ) const
+ {
+ m_model.feed(coeff, sample_parameter);
+ known_term = coeff[m_model.size()-1] * sample_parameter;
+ }
+
+ size_t size() const
+ {
+ return m_model.size();
+ }
+
+ private:
+ LFMPowerBasis<InstanceType> m_model;
+};
+
+
+// incomplete model, it can be inherited to make up different kinds of
+// instance type; the raw data is a vector of coefficients of the equation
+// of an ellipse curve
+template< typename InstanceType >
+class LFMEllipseEquation
+ : public LinearFittingModelWithFixedTerms<Point, double, InstanceType>
+{
+ public:
+ void feed( VectorView & coeff, double & fixed_term, Point const& p ) const
+ {
+ coeff[0] = p[X] * p[Y];
+ coeff[1] = p[Y] * p[Y];
+ coeff[2] = p[X];
+ coeff[3] = p[Y];
+ coeff[4] = 1;
+ fixed_term = p[X] * p[X];
+ }
+
+ size_t size() const
+ {
+ return 5;
+ }
+};
+
+
+// this model generates Ellipse curves
+class LFMEllipse
+ : public LFMEllipseEquation<Ellipse>
+{
+ public:
+ void instance(Ellipse & e, ConstVectorView const& coeff) const
+ {
+ e.set(1, coeff[0], coeff[1], coeff[2], coeff[3], coeff[4]);
+ }
+};
+
+
+// this model generates SBasis objects
+class LFMSBasis
+ : public LinearFittingModel<double, double, SBasis>
+{
+ public:
+ LFMSBasis( size_t _order )
+ : m_size( 2*(_order+1) ),
+ m_order(_order)
+ {
+ }
+
+ void feed( VectorView & coeff, double t ) const
+ {
+ double u0 = 1-t;
+ double u1 = t;
+ double s = u0 * u1;
+ coeff[0] = u0;
+ coeff[1] = u1;
+ for (size_t i = 2; i < size(); i+=2)
+ {
+ u0 *= s;
+ u1 *= s;
+ coeff[i] = u0;
+ coeff[i+1] = u1;
+ }
+ }
+
+ size_t size() const
+ {
+ return m_size;
+ }
+
+ void instance(SBasis & sb, ConstVectorView const& raw_data) const
+ {
+ sb.clear();
+ sb.resize(m_order+1);
+ for (unsigned int i = 0, k = 0; i < raw_data.size(); i+=2, ++k)
+ {
+ sb[k][0] = raw_data[i];
+ sb[k][1] = raw_data[i+1];
+ }
+ }
+
+ private:
+ size_t m_size;
+ size_t m_order;
+};
+
+
+// this model generates D2<SBasis> objects
+class LFMD2SBasis
+ : public LinearFittingModel< double, Point, D2<SBasis> >
+{
+ public:
+ LFMD2SBasis( size_t _order )
+ : mosb(_order)
+ {
+ }
+
+ void feed( VectorView & coeff, double t ) const
+ {
+ mosb.feed(coeff, t);
+ }
+
+ size_t size() const
+ {
+ return mosb.size();
+ }
+
+ void instance(D2<SBasis> & d2sb, ConstMatrixView const& raw_data) const
+ {
+ mosb.instance(d2sb[X], raw_data.column_const_view(X));
+ mosb.instance(d2sb[Y], raw_data.column_const_view(Y));
+ }
+
+ private:
+ LFMSBasis mosb;
+};
+
+
+// this model generates Bezier objects
+class LFMBezier
+ : public LinearFittingModel<double, double, Bezier>
+{
+ public:
+ LFMBezier( size_t _order )
+ : m_size(_order + 1),
+ m_order(_order)
+ {
+ binomial_coefficients(m_bc, m_order);
+ }
+
+ void feed( VectorView & coeff, double t ) const
+ {
+ double s = 1;
+ for (size_t i = 0; i < size(); ++i)
+ {
+ coeff[i] = s * m_bc[i];
+ s *= t;
+ }
+ double u = 1-t;
+ s = 1;
+ for (size_t i = size()-1; i > 0; --i)
+ {
+ coeff[i] *= s;
+ s *= u;
+ }
+ coeff[0] *= s;
+ }
+
+ size_t size() const
+ {
+ return m_size;
+ }
+
+ void instance(Bezier & b, ConstVectorView const& raw_data) const
+ {
+ assert(b.size() == raw_data.size());
+ for (unsigned int i = 0; i < raw_data.size(); ++i)
+ {
+ b[i] = raw_data[i];
+ }
+ }
+
+ private:
+ size_t m_size;
+ size_t m_order;
+ std::vector<size_t> m_bc;
+};
+
+
+// this model generates Bezier curves
+template< unsigned int N >
+class LFMBezierCurve
+ : public LinearFittingModel< double, Point, BezierCurve<N> >
+{
+ public:
+ LFMBezierCurve( size_t _order )
+ : mob(_order)
+ {
+ }
+
+ void feed( VectorView & coeff, double t ) const
+ {
+ mob.feed(coeff, t);
+ }
+
+ size_t size() const
+ {
+ return mob.size();
+ }
+
+ void instance(BezierCurve<N> & bc, ConstMatrixView const& raw_data) const
+ {
+ Bezier bx(size()-1);
+ Bezier by(size()-1);
+ mob.instance(bx, raw_data.column_const_view(X));
+ mob.instance(by, raw_data.column_const_view(Y));
+ bc = BezierCurve<N>(bx, by);
+ }
+
+ private:
+ LFMBezier mob;
+};
+
+} // end namespace NL
+} // end namespace Geom
+
+
+#endif // _NL_FITTING_MODEL_H_
+
+
+/*
+ Local Variables:
+ mode:c++
+ c-file-style:"stroustrup"
+ c-file-offsets:((innamespace . 0)(inline-open . 0)(case-label . +))
+ indent-tabs-mode:nil
+ fill-column:99
+ End:
+*/
+// vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=99 :
diff --git a/src/2geom/numeric/fitting-tool.h b/src/2geom/numeric/fitting-tool.h
new file mode 100644
index 000000000..edacc663a
--- /dev/null
+++ b/src/2geom/numeric/fitting-tool.h
@@ -0,0 +1,532 @@
+/*
+ * Fitting Tools
+ *
+ * Authors:
+ * Marco Cecchetti <mrcekets at gmail.com>
+ *
+ * Copyright 2008 authors
+ *
+ * This library is free software; you can redistribute it and/or
+ * modify it either under the terms of the GNU Lesser General Public
+ * License version 2.1 as published by the Free Software Foundation
+ * (the "LGPL") or, at your option, under the terms of the Mozilla
+ * Public License Version 1.1 (the "MPL"). If you do not alter this
+ * notice, a recipient may use your version of this file under either
+ * the MPL or the LGPL.
+ *
+ * You should have received a copy of the LGPL along with this library
+ * in the file COPYING-LGPL-2.1; if not, write to the Free Software
+ * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
+ * You should have received a copy of the MPL along with this library
+ * in the file COPYING-MPL-1.1
+ *
+ * The contents of this file are subject to the Mozilla Public License
+ * Version 1.1 (the "License"); you may not use this file except in
+ * compliance with the License. You may obtain a copy of the License at
+ * http://www.mozilla.org/MPL/
+ *
+ * This software is distributed on an "AS IS" basis, WITHOUT WARRANTY
+ * OF ANY KIND, either express or implied. See the LGPL or the MPL for
+ * the specific language governing rights and limitations.
+ */
+
+
+#ifndef _NL_FITTING_TOOL_H_
+#define _NL_FITTING_TOOL_H_
+
+
+#include <2geom/numeric/vector.h>
+#include <2geom/numeric/matrix.h>
+
+#include <2geom/point.h>
+
+#include <vector>
+
+
+namespace Geom { namespace NL {
+
+namespace detail {
+
+
+template< typename ModelT>
+class lsf_base
+{
+ public:
+ typedef ModelT model_type;
+ typedef typename model_type::parameter_type parameter_type;
+ typedef typename model_type::value_type value_type;
+
+ lsf_base( model_type const& _model, size_t forecasted_samples )
+ : m_model(_model),
+ m_total_samples(0),
+ m_matrix(forecasted_samples, m_model.size()),
+ m_psdinv_matrix(NULL)
+ {
+ }
+
+ // compute pseudo inverse
+ void update()
+ {
+ if (total_samples() == 0) return;
+ if (m_psdinv_matrix != NULL)
+ {
+ delete m_psdinv_matrix;
+ }
+ MatrixView mv(m_matrix, 0, 0, total_samples(), m_matrix.columns());
+ m_psdinv_matrix = new Matrix( pseudo_inverse(mv) );
+ assert(m_psdinv_matrix != NULL);
+ }
+
+ size_t total_samples() const
+ {
+ return m_total_samples;
+ }
+
+ bool is_full() const
+ {
+ return (total_samples() == m_matrix.rows());
+ }
+
+ void clear()
+ {
+ m_total_samples = 0;
+ }
+
+ virtual
+ ~lsf_base()
+ {
+ if (m_psdinv_matrix != NULL)
+ {
+ delete m_psdinv_matrix;
+ }
+ }
+
+ protected:
+ const model_type & m_model;
+ size_t m_total_samples;
+ Matrix m_matrix;
+ Matrix* m_psdinv_matrix;
+
+}; // end class lsf_base
+
+
+
+
+template< typename ModelT, typename ValueType = typename ModelT::value_type>
+class lsf_solution
+{
+};
+
+// a fitting process on samples with value of type double
+// produces a solution of type Vector
+template< typename ModelT>
+class lsf_solution<ModelT, double>
+ : public lsf_base<ModelT>
+{
+public:
+ typedef ModelT model_type;
+ typedef typename model_type::parameter_type parameter_type;
+ typedef typename model_type::value_type value_type;
+ typedef Vector solution_type;
+ typedef lsf_base<model_type> base_type;
+
+ using base_type::m_model;
+ using base_type::m_psdinv_matrix;
+ using base_type::total_samples;
+
+public:
+ lsf_solution<ModelT, double>( model_type const& _model,
+ size_t forecasted_samples )
+ : base_type(_model, forecasted_samples),
+ m_solution(_model.size())
+ {
+ }
+
+ template< typename VectorT >
+ solution_type& result(VectorT const& sample_values)
+ {
+ assert(sample_values.size() == total_samples());
+ ConstVectorView sv(sample_values);
+ m_solution = (*m_psdinv_matrix) * sv;
+ return m_solution;
+ }
+
+ // a comparison between old sample values and the new ones is performed
+ // in order to minimize computation
+ // prerequisite:
+ // old_sample_values.size() == new_sample_values.size()
+ // no update() call can be performed between two result invocations
+ template< typename VectorT >
+ solution_type& result( VectorT const& old_sample_values,
+ VectorT const& new_sample_values )
+ {
+ assert(old_sample_values.size() == total_samples());
+ assert(new_sample_values.size() == total_samples());
+ Vector diff(total_samples());
+ for (size_t i = 0; i < diff.size(); ++i)
+ {
+ diff[i] = new_sample_values[i] - old_sample_values[i];
+ }
+ Vector column(m_model.size());
+ Vector delta(m_model.size(), 0.0);
+ for (size_t i = 0; i < diff.size(); ++i)
+ {
+ if (diff[i] != 0)
+ {
+ column = m_psdinv_matrix->column_view(i);
+ column.scale(diff[i]);
+ delta += column;
+ }
+ }
+ m_solution += delta;
+ return m_solution;
+ }
+
+ solution_type& result()
+ {
+ return m_solution;
+ }
+
+private:
+ solution_type m_solution;
+
+}; // end class lsf_solution<ModelT, double>
+
+
+// a fitting process on samples with value of type Point
+// produces a solution of type Matrix (with 2 columns)
+template< typename ModelT>
+class lsf_solution<ModelT, Point>
+ : public lsf_base<ModelT>
+{
+public:
+ typedef ModelT model_type;
+ typedef typename model_type::parameter_type parameter_type;
+ typedef typename model_type::value_type value_type;
+ typedef Matrix solution_type;
+ typedef lsf_base<model_type> base_type;
+
+ using base_type::m_model;
+ using base_type::m_psdinv_matrix;
+ using base_type::total_samples;
+
+public:
+ lsf_solution<ModelT, Point>( model_type const& _model,
+ size_t forecasted_samples )
+ : base_type(_model, forecasted_samples),
+ m_solution(_model.size(), 2)
+ {
+ }
+
+ solution_type& result(std::vector<Point> const& sample_values)
+ {
+ assert(sample_values.size() == total_samples());
+ Matrix svm(total_samples(), 2);
+ for (size_t i = 0; i < total_samples(); ++i)
+ {
+ svm(i, X) = sample_values[i][X];
+ svm(i, Y) = sample_values[i][Y];
+ }
+ m_solution = (*m_psdinv_matrix) * svm;
+ return m_solution;
+ }
+
+ // a comparison between old sample values and the new ones is performed
+ // in order to minimize computation
+ // prerequisite:
+ // old_sample_values.size() == new_sample_values.size()
+ // no update() call can to be performed between two result invocations
+ solution_type& result( std::vector<Point> const& old_sample_values,
+ std::vector<Point> const& new_sample_values )
+ {
+ assert(old_sample_values.size() == total_samples());
+ assert(new_sample_values.size() == total_samples());
+ Matrix diff(total_samples(), 2);
+ for (size_t i = 0; i < total_samples(); ++i)
+ {
+ diff(i, X) = new_sample_values[i][X] - old_sample_values[i][X];
+ diff(i, Y) = new_sample_values[i][Y] - old_sample_values[i][Y];
+ }
+ Vector column(m_model.size());
+ Matrix delta(m_model.size(), 2, 0.0);
+ VectorView deltax = delta.column_view(X);
+ VectorView deltay = delta.column_view(Y);
+ for (size_t i = 0; i < total_samples(); ++i)
+ {
+ if (diff(i, X) != 0)
+ {
+ column = m_psdinv_matrix->column_view(i);
+ column.scale(diff(i, X));
+ deltax += column;
+ }
+ if (diff(i, Y) != 0)
+ {
+ column = m_psdinv_matrix->column_view(i);
+ column.scale(diff(i, Y));
+ deltay += column;
+ }
+ }
+ m_solution += delta;
+ return m_solution;
+ }
+
+ solution_type& result()
+ {
+ return m_solution;
+ }
+
+private:
+ solution_type m_solution;
+
+}; // end class lsf_solution<ModelT, Point>
+
+
+
+
+template< typename ModelT,
+ bool WITH_FIXED_TERMS = ModelT::WITH_FIXED_TERMS >
+class lsf_with_fixed_terms
+{
+};
+
+
+// fitting tool for completely unknown models
+template< typename ModelT>
+class lsf_with_fixed_terms<ModelT, false>
+ : public lsf_solution<ModelT>
+{
+ public:
+ typedef ModelT model_type;
+ typedef typename model_type::parameter_type parameter_type;
+ typedef typename model_type::value_type value_type;
+ typedef lsf_solution<model_type> base_type;
+ typedef typename base_type::solution_type solution_type;
+
+ using base_type::total_samples;
+ using base_type::is_full;
+ using base_type::m_matrix;
+ using base_type::m_total_samples;
+ using base_type::m_model;
+
+ public:
+ lsf_with_fixed_terms<ModelT, false>( model_type const& _model,
+ size_t forecasted_samples )
+ : base_type(_model, forecasted_samples)
+ {
+ }
+
+ void append(parameter_type const& sample_parameter)
+ {
+ assert(!is_full());
+ VectorView row = m_matrix.row_view(total_samples());
+ m_model.feed(row, sample_parameter);
+ ++m_total_samples;
+ }
+
+ void append_copy(size_t sample_index)
+ {
+ assert(!is_full());
+ assert(sample_index < total_samples());
+ VectorView dest_row = m_matrix.row_view(total_samples());
+ VectorView source_row = m_matrix.row_view(sample_index);
+ dest_row = source_row;
+ ++m_total_samples;
+ }
+
+}; // end class lsf_with_fixed_terms<ModelT, false>
+
+
+// fitting tool for partially known models
+template< typename ModelT>
+class lsf_with_fixed_terms<ModelT, true>
+ : public lsf_solution<ModelT>
+{
+ public:
+ typedef ModelT model_type;
+ typedef typename model_type::parameter_type parameter_type;
+ typedef typename model_type::value_type value_type;
+ typedef lsf_solution<model_type> base_type;
+ typedef typename base_type::solution_type solution_type;
+
+ using base_type::total_samples;
+ using base_type::is_full;
+ using base_type::m_matrix;
+ using base_type::m_total_samples;
+ using base_type::m_model;
+
+ public:
+ lsf_with_fixed_terms<ModelT, true>( model_type const& _model,
+ size_t forecasted_samples )
+ : base_type(_model, forecasted_samples),
+ m_vector(forecasted_samples),
+ m_vector_view(NULL)
+ {
+ }
+ void append(parameter_type const& sample_parameter)
+ {
+ assert(!is_full());
+ VectorView row = m_matrix.row_view(total_samples());
+ m_model.feed(row, m_vector[total_samples()], sample_parameter);
+ ++m_total_samples;
+ }
+
+ void append_copy(size_t sample_index)
+ {
+ assert(!is_full());
+ assert(sample_index < total_samples());
+ VectorView dest_row = m_matrix.row_view(total_samples());
+ VectorView source_row = m_matrix.row_view(sample_index);
+ dest_row = source_row;
+ m_vector[total_samples()] = m_vector[sample_index];
+ ++m_total_samples;
+ }
+
+ void update()
+ {
+ base_type::update();
+ if (total_samples() == 0) return;
+ if (m_vector_view != NULL)
+ {
+ delete m_vector_view;
+ }
+ m_vector_view = new VectorView(m_vector, base_type::total_samples());
+ assert(m_vector_view != NULL);
+ }
+
+ virtual
+ ~lsf_with_fixed_terms<model_type, true>()
+ {
+ if (m_vector_view != NULL)
+ {
+ delete m_vector_view;
+ }
+ }
+
+ protected:
+ Vector m_vector;
+ VectorView* m_vector_view;
+
+}; // end class lsf_with_fixed_terms<ModelT, true>
+
+
+} // end namespace detail
+
+
+
+
+template< typename ModelT,
+ typename ValueType = typename ModelT::value_type,
+ bool WITH_FIXED_TERMS = ModelT::WITH_FIXED_TERMS >
+class least_squeares_fitter
+{
+};
+
+
+template< typename ModelT, typename ValueType >
+class least_squeares_fitter<ModelT, ValueType, false>
+ : public detail::lsf_with_fixed_terms<ModelT>
+{
+ public:
+ typedef ModelT model_type;
+ typedef detail::lsf_with_fixed_terms<model_type> base_type;
+ typedef typename base_type::parameter_type parameter_type;
+ typedef typename base_type::value_type value_type;
+ typedef typename base_type::solution_type solution_type;
+
+ public:
+ least_squeares_fitter<ModelT, ValueType, false>( model_type const& _model,
+ size_t forecasted_samples )
+ : base_type(_model, forecasted_samples)
+ {
+ }
+}; // end class least_squeares_fitter<ModelT, ValueType, true>
+
+
+template< typename ModelT>
+class least_squeares_fitter<ModelT, double, true>
+ : public detail::lsf_with_fixed_terms<ModelT>
+{
+ public:
+ typedef ModelT model_type;
+ typedef detail::lsf_with_fixed_terms<model_type> base_type;
+ typedef typename base_type::parameter_type parameter_type;
+ typedef typename base_type::value_type value_type;
+ typedef typename base_type::solution_type solution_type;
+
+ using base_type::m_vector_view;
+ using base_type::result;
+
+ public:
+ least_squeares_fitter<ModelT, double, true>( model_type const& _model,
+ size_t forecasted_samples )
+ : base_type(_model, forecasted_samples)
+ {
+ }
+
+ template< typename VectorT >
+ solution_type& result(VectorT const& sample_values)
+ {
+ assert(sample_values.size() == m_vector_view->size());
+ Vector sv(sample_values.size());
+ for (size_t i = 0; i < sv.size(); ++i)
+ sv[i] = sample_values[i] - (*m_vector_view)[i];
+ return base_type::result(sv);
+ }
+
+}; // end class least_squeares_fitter<ModelT, double, true>
+
+
+template< typename ModelT>
+class least_squeares_fitter<ModelT, Point, true>
+ : public detail::lsf_with_fixed_terms<ModelT>
+{
+ public:
+ typedef ModelT model_type;
+ typedef detail::lsf_with_fixed_terms<model_type> base_type;
+ typedef typename base_type::parameter_type parameter_type;
+ typedef typename base_type::value_type value_type;
+ typedef typename base_type::solution_type solution_type;
+
+ using base_type::m_vector_view;
+ using base_type::result;
+
+ public:
+ least_squeares_fitter<ModelT, Point, true>( model_type const& _model,
+ size_t forecasted_samples )
+ : base_type(_model, forecasted_samples)
+ {
+ }
+
+ solution_type& result(std::vector<Point> const& sample_values)
+ {
+ assert(sample_values.size() == m_vector_view->size());
+ NL::Matrix sv(sample_values.size(), 2);
+ for (size_t i = 0; i < sample_values.size(); ++i)
+ {
+ sv(i, X) = sample_values[i][X] - (*m_vector_view)[i];
+ sv(i, Y) = sample_values[i][Y] - (*m_vector_view)[i];
+ }
+ return base_type::result(sv);
+ }
+
+}; // end class least_squeares_fitter<ModelT, Point, true>
+
+
+} // end namespace NL
+} // end namespace Geom
+
+
+
+#endif // _NL_FITTING_TOOL_H_
+
+
+/*
+ Local Variables:
+ mode:c++
+ c-file-style:"stroustrup"
+ c-file-offsets:((innamespace . 0)(inline-open . 0)(case-label . +))
+ indent-tabs-mode:nil
+ fill-column:99
+ End:
+*/
+// vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=99 :
diff --git a/src/2geom/numeric/linear_system.h b/src/2geom/numeric/linear_system.h
index 7699c5224..5b516c9e6 100644
--- a/src/2geom/numeric/linear_system.h
+++ b/src/2geom/numeric/linear_system.h
@@ -1,89 +1,138 @@
-#ifndef _NL_LINEAR_SYSTEM_H_
-#define _NL_LINEAR_SYSTEM_H_
-
-
-#include <cassert>
-
-#include <gsl/gsl_linalg.h>
-
-#include "2geom/numeric/matrix.h"
-#include "2geom/numeric/vector.h"
-
-
-namespace Geom { namespace NL {
-
-
-class LinearSystem
-{
-public:
- LinearSystem(Matrix & _matrix, Vector & _vector)
- : m_matrix(_matrix), m_vector(_vector), m_solution(_matrix.columns())
- {
- }
-
- const Vector & LU_solve()
- {
- assert( matrix().rows() == matrix().columns()
- && matrix().rows() == vector().size() );
- int s;
- gsl_permutation * p = gsl_permutation_alloc(matrix().rows());
- gsl_linalg_LU_decomp (matrix().get_gsl_matrix(), p, &s);
- gsl_linalg_LU_solve( matrix().get_gsl_matrix(),
- p,
- vector().get_gsl_vector(),
- m_solution.get_gsl_vector()
- );
- gsl_permutation_free(p);
- return solution();
- }
-
- const Vector & SV_solve()
- {
- assert( matrix().rows() >= matrix().columns()
- && matrix().rows() == vector().size() );
-
- gsl_matrix* U = matrix().get_gsl_matrix();
- gsl_matrix* V = gsl_matrix_alloc(matrix().columns(), matrix().columns());
- gsl_vector* S = gsl_vector_alloc(matrix().columns());
- gsl_vector* work = gsl_vector_alloc(matrix().columns());
-
- gsl_linalg_SV_decomp( U, V, S, work );
-
- gsl_vector* b = vector().get_gsl_vector();
- gsl_vector* x = m_solution.get_gsl_vector();
-
- gsl_linalg_SV_solve( U, V, S, b, x);
-
- gsl_matrix_free(V);
- gsl_vector_free(S);
- gsl_vector_free(work);
-
- return solution();
- }
-
- Matrix & matrix()
- {
- return m_matrix;
- }
-
- Vector & vector()
- {
- return m_vector;
- }
-
- const Vector & solution() const
- {
- return m_solution;
- }
-
-private:
- Matrix & m_matrix;
- Vector & m_vector;
- Vector m_solution;
-};
-
-
-} } // end namespaces
-
-
-#endif /*_NL_LINEAR_SYSTEM_H_*/
+/*
+ * LinearSystem class wraps some gsl routines for solving linear systems
+ *
+ * Authors:
+ * Marco Cecchetti <mrcekets at gmail.com>
+ *
+ * Copyright 2008 authors
+ *
+ * This library is free software; you can redistribute it and/or
+ * modify it either under the terms of the GNU Lesser General Public
+ * License version 2.1 as published by the Free Software Foundation
+ * (the "LGPL") or, at your option, under the terms of the Mozilla
+ * Public License Version 1.1 (the "MPL"). If you do not alter this
+ * notice, a recipient may use your version of this file under either
+ * the MPL or the LGPL.
+ *
+ * You should have received a copy of the LGPL along with this library
+ * in the file COPYING-LGPL-2.1; if not, write to the Free Software
+ * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
+ * You should have received a copy of the MPL along with this library
+ * in the file COPYING-MPL-1.1
+ *
+ * The contents of this file are subject to the Mozilla Public License
+ * Version 1.1 (the "License"); you may not use this file except in
+ * compliance with the License. You may obtain a copy of the License at
+ * http://www.mozilla.org/MPL/
+ *
+ * This software is distributed on an "AS IS" basis, WITHOUT WARRANTY
+ * OF ANY KIND, either express or implied. See the LGPL or the MPL for
+ * the specific language governing rights and limitations.
+ */
+
+
+#ifndef _NL_LINEAR_SYSTEM_H_
+#define _NL_LINEAR_SYSTEM_H_
+
+
+#include <cassert>
+
+#include <gsl/gsl_linalg.h>
+
+#include <2geom/numeric/matrix.h>
+#include <2geom/numeric/vector.h>
+
+
+namespace Geom { namespace NL {
+
+
+class LinearSystem
+{
+public:
+ LinearSystem(MatrixView & _matrix, VectorView & _vector)
+ : m_matrix(_matrix), m_vector(_vector), m_solution(_matrix.columns())
+ {
+ }
+
+ LinearSystem(Matrix & _matrix, Vector & _vector)
+ : m_matrix(_matrix), m_vector(_vector), m_solution(_matrix.columns())
+ {
+ }
+
+ const Vector & LU_solve()
+ {
+ assert( matrix().rows() == matrix().columns()
+ && matrix().rows() == vector().size() );
+ int s;
+ gsl_permutation * p = gsl_permutation_alloc(matrix().rows());
+ gsl_linalg_LU_decomp (matrix().get_gsl_matrix(), p, &s);
+ gsl_linalg_LU_solve( matrix().get_gsl_matrix(),
+ p,
+ vector().get_gsl_vector(),
+ m_solution.get_gsl_vector()
+ );
+ gsl_permutation_free(p);
+ return solution();
+ }
+
+ const Vector & SV_solve()
+ {
+ assert( matrix().rows() >= matrix().columns()
+ && matrix().rows() == vector().size() );
+
+ gsl_matrix* U = matrix().get_gsl_matrix();
+ gsl_matrix* V = gsl_matrix_alloc(matrix().columns(), matrix().columns());
+ gsl_vector* S = gsl_vector_alloc(matrix().columns());
+ gsl_vector* work = gsl_vector_alloc(matrix().columns());
+
+ gsl_linalg_SV_decomp( U, V, S, work );
+
+ gsl_vector* b = vector().get_gsl_vector();
+ gsl_vector* x = m_solution.get_gsl_vector();
+
+ gsl_linalg_SV_solve( U, V, S, b, x);
+
+ gsl_matrix_free(V);
+ gsl_vector_free(S);
+ gsl_vector_free(work);
+
+ return solution();
+ }
+
+ MatrixView & matrix()
+ {
+ return m_matrix;
+ }
+
+ VectorView & vector()
+ {
+ return m_vector;
+ }
+
+ const Vector & solution() const
+ {
+ return m_solution;
+ }
+
+private:
+ MatrixView m_matrix;
+ VectorView m_vector;
+ Vector m_solution;
+};
+
+
+} } // end namespaces
+
+
+#endif /*_NL_LINEAR_SYSTEM_H_*/
+
+/*
+ Local Variables:
+ mode:c++
+ c-file-style:"stroustrup"
+ c-file-offsets:((innamespace . 0)(inline-open . 0)(case-label . +))
+ indent-tabs-mode:nil
+ fill-column:99
+ End:
+*/
+// vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=99 :
diff --git a/src/2geom/numeric/matrix.cpp b/src/2geom/numeric/matrix.cpp
new file mode 100644
index 000000000..dde80dfb6
--- /dev/null
+++ b/src/2geom/numeric/matrix.cpp
@@ -0,0 +1,115 @@
+/*
+ * Matrix, MatrixView, ConstMatrixView classes wrap the gsl matrix routines;
+ * "views" mimic the semantic of C++ references: any operation performed
+ * on a "view" is actually performed on the "viewed object"
+ *
+ * Authors:
+ * Marco Cecchetti <mrcekets at gmail.com>
+ *
+ * Copyright 2008 authors
+ *
+ * This library is free software; you can redistribute it and/or
+ * modify it either under the terms of the GNU Lesser General Public
+ * License version 2.1 as published by the Free Software Foundation
+ * (the "LGPL") or, at your option, under the terms of the Mozilla
+ * Public License Version 1.1 (the "MPL"). If you do not alter this
+ * notice, a recipient may use your version of this file under either
+ * the MPL or the LGPL.
+ *
+ * You should have received a copy of the LGPL along with this library
+ * in the file COPYING-LGPL-2.1; if not, write to the Free Software
+ * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
+ * You should have received a copy of the MPL along with this library
+ * in the file COPYING-MPL-1.1
+ *
+ * The contents of this file are subject to the Mozilla Public License
+ * Version 1.1 (the "License"); you may not use this file except in
+ * compliance with the License. You may obtain a copy of the License at
+ * http://www.mozilla.org/MPL/
+ *
+ * This software is distributed on an "AS IS" basis, WITHOUT WARRANTY
+ * OF ANY KIND, either express or implied. See the LGPL or the MPL for
+ * the specific language governing rights and limitations.
+ */
+
+
+#include <numeric/matrix.h>
+#include <numeric/vector.h>
+
+
+
+namespace Geom { namespace NL {
+
+
+Vector operator*( detail::BaseMatrixImpl const& A,
+ detail::BaseVectorImpl const& v )
+{
+ assert(A.columns() == v.size());
+
+ Vector result(A.rows(), 0.0);
+ for (size_t i = 0; i < A.rows(); ++i)
+ for (size_t j = 0; j < A.columns(); ++j)
+ result[i] += A(i,j) * v[j];
+
+ return result;
+}
+
+Matrix operator*( detail::BaseMatrixImpl const& A,
+ detail::BaseMatrixImpl const& B )
+{
+ assert(A.columns() == B.rows());
+
+ Matrix C(A.rows(), B.columns(), 0.0);
+ for (size_t i = 0; i < C.rows(); ++i)
+ for (size_t j = 0; j < C.columns(); ++j)
+ for (size_t k = 0; k < A.columns(); ++k)
+ C(i,j) += A(i,k) * B(k, j);
+
+ return C;
+}
+
+Matrix pseudo_inverse(detail::BaseMatrixImpl const& A)
+{
+
+ Matrix U(A);
+ Matrix V(A.columns(), A.columns());
+ Vector s(A.columns());
+ gsl_vector* work = gsl_vector_alloc(A.columns());
+
+ gsl_linalg_SV_decomp( U.get_gsl_matrix(),
+ V.get_gsl_matrix(),
+ s.get_gsl_vector(),
+ work );
+
+ Matrix P(A.columns(), A.rows(), 0.0);
+
+ int sz = s.size();
+ while ( sz-- > 0 && s[sz] == 0 ) {}
+ ++sz;
+ if (sz == 0) return P;
+ VectorView sv(s, sz);
+
+ for (size_t i = 0; i < sv.size(); ++i)
+ {
+ VectorView v = V.column_view(i);
+ v.scale(1/sv[i]);
+ for (size_t h = 0; h < P.rows(); ++h)
+ for (size_t k = 0; k < P.columns(); ++k)
+ P(h,k) += V(h,i) * U(k,i);
+ }
+
+ return P;
+}
+
+} } // end namespaces
+
+/*
+ Local Variables:
+ mode:c++
+ c-file-style:"stroustrup"
+ c-file-offsets:((innamespace . 0)(inline-open . 0)(case-label . +))
+ indent-tabs-mode:nil
+ fill-column:99
+ End:
+*/
+// vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=99 :
diff --git a/src/2geom/numeric/matrix.h b/src/2geom/numeric/matrix.h
index bdd647e53..64557a6f1 100644
--- a/src/2geom/numeric/matrix.h
+++ b/src/2geom/numeric/matrix.h
@@ -1,207 +1,555 @@
-#ifndef _NL_MATRIX_H_
-#define _NL_MATRIX_H_
-
-
-#include <cassert>
-#include <utility>
-#include <algorithm>
-
-#include <gsl/gsl_matrix.h>
-
-
-
-namespace Geom { namespace NL {
-
-class Matrix;
-void swap(Matrix & m1, Matrix & m2);
-
-
-class Matrix
-{
-public:
- // the matrix is not inizialized
- Matrix(size_t n1, size_t n2)
- : m_rows(n1), m_columns(n2)
- {
- m_matrix = gsl_matrix_alloc(n1, n2);
- }
-
- Matrix(size_t n1, size_t n2, double x)
- :m_rows(n1), m_columns(n2)
- {
- m_matrix = gsl_matrix_alloc(n1, n2);
- gsl_matrix_set_all(m_matrix, x);
- }
-
- Matrix( Matrix const& _matrix )
- : m_rows(_matrix.rows()), m_columns(_matrix.columns())
- {
- m_matrix = gsl_matrix_alloc(rows(), columns());
- gsl_matrix_memcpy(m_matrix, _matrix.m_matrix);
- }
-
-// explicit
-// Matrix( gsl_matrix* m, size_t n1, size_t n2)
-// : m_rows(n1), m_columns(n2), m_matrix(m)
-// {
-// }
-
- Matrix & operator=(Matrix const& _matrix)
- {
- assert( rows() == _matrix.rows() && columns() == _matrix.columns() );
- gsl_matrix_memcpy(m_matrix, _matrix.m_matrix);
-
- return *this;
- }
-
- virtual ~Matrix()
- {
- gsl_matrix_free(m_matrix);
- }
-
- void set_all( double x = 0)
- {
- gsl_matrix_set_all(m_matrix, x);
- }
-
- void set_identity()
- {
- gsl_matrix_set_identity(m_matrix);
- }
-
- const double & operator() (size_t i, size_t j) const
- {
- return *gsl_matrix_const_ptr(m_matrix, i, j);
- }
-
- double & operator() (size_t i, size_t j)
- {
- return *gsl_matrix_ptr(m_matrix, i, j);
- }
-
- gsl_matrix* get_gsl_matrix()
- {
- return m_matrix;
- }
-
- void swap_rows(size_t i, size_t j)
- {
- gsl_matrix_swap_rows(m_matrix, i, j);
- }
-
- void swap_columns(size_t i, size_t j)
- {
- gsl_matrix_swap_columns(m_matrix, i, j);
- }
-
- Matrix & transpose()
- {
- gsl_matrix_transpose(m_matrix);
- return (*this);
- }
-
- Matrix & scale(double x)
- {
- gsl_matrix_scale(m_matrix, x);
- return (*this);
- }
-
- Matrix & translate(double x)
- {
- gsl_matrix_add_constant(m_matrix, x);
- return (*this);
- }
-
- Matrix & operator+=(Matrix const& _matrix)
- {
- gsl_matrix_add(m_matrix, _matrix.m_matrix);
- return (*this);
- }
-
- Matrix & operator-=(Matrix const& _matrix)
- {
- gsl_matrix_sub(m_matrix, _matrix.m_matrix);
- return (*this);
- }
-
- bool is_zero() const
- {
- return gsl_matrix_isnull(m_matrix);
- }
-
- bool is_positive() const
- {
- return gsl_matrix_ispos(m_matrix);
- }
-
- bool is_negative() const
- {
- return gsl_matrix_isneg(m_matrix);
- }
-
- bool is_non_negative() const
- {
- for ( unsigned int i = 0; i < rows(); ++i )
- {
- for ( unsigned int j = 0; j < columns(); ++j )
- {
- if ( (*this)(i,j) < 0 ) return false;
- }
- }
- return true;
- }
-
- double max() const
- {
- return gsl_matrix_max(m_matrix);
- }
-
- double min() const
- {
- return gsl_matrix_min(m_matrix);
- }
-
- std::pair<size_t, size_t>
- max_index() const
- {
- std::pair<size_t, size_t> indices;
- gsl_matrix_max_index(m_matrix, &(indices.first), &(indices.second));
- return indices;
- }
-
- std::pair<size_t, size_t>
- min_index() const
- {
- std::pair<size_t, size_t> indices;
- gsl_matrix_min_index(m_matrix, &(indices.first), &(indices.second));
- return indices;
- }
-
- friend
- void swap(Matrix & m1, Matrix & m2);
-
- size_t rows() const
- {
- return m_rows;
- }
-
- size_t columns() const
- {
- return m_columns;
- }
-
-private:
- size_t m_rows, m_columns;
- gsl_matrix* m_matrix;
-};
-
-void swap(Matrix & m1, Matrix & m2)
-{
- assert( m1.rows() == m2.rows() && m1.columns() == m2.columns() );
- std::swap(m1.m_matrix, m2.m_matrix);
-}
-
-
-} } // end namespaces
-
-#endif /*_NL_MATRIX_H_*/
+/*
+ * Matrix, MatrixView, ConstMatrixView classes wrap the gsl matrix routines;
+ * "views" mimic the semantic of C++ references: any operation performed
+ * on a "view" is actually performed on the "viewed object"
+ *
+ * Authors:
+ * Marco Cecchetti <mrcekets at gmail.com>
+ *
+ * Copyright 2008 authors
+ *
+ * This library is free software; you can redistribute it and/or
+ * modify it either under the terms of the GNU Lesser General Public
+ * License version 2.1 as published by the Free Software Foundation
+ * (the "LGPL") or, at your option, under the terms of the Mozilla
+ * Public License Version 1.1 (the "MPL"). If you do not alter this
+ * notice, a recipient may use your version of this file under either
+ * the MPL or the LGPL.
+ *
+ * You should have received a copy of the LGPL along with this library
+ * in the file COPYING-LGPL-2.1; if not, write to the Free Software
+ * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
+ * You should have received a copy of the MPL along with this library
+ * in the file COPYING-MPL-1.1
+ *
+ * The contents of this file are subject to the Mozilla Public License
+ * Version 1.1 (the "License"); you may not use this file except in
+ * compliance with the License. You may obtain a copy of the License at
+ * http://www.mozilla.org/MPL/
+ *
+ * This software is distributed on an "AS IS" basis, WITHOUT WARRANTY
+ * OF ANY KIND, either express or implied. See the LGPL or the MPL for
+ * the specific language governing rights and limitations.
+ */
+
+
+
+
+#ifndef _NL_MATRIX_H_
+#define _NL_MATRIX_H_
+
+#include <2geom/numeric/vector.h>
+
+#include <cassert>
+#include <utility> // for std::pair
+#include <algorithm> // for std::swap
+#include <sstream>
+#include <string>
+
+#include <gsl/gsl_matrix.h>
+#include <gsl/gsl_linalg.h>
+
+
+namespace Geom { namespace NL {
+
+namespace detail
+{
+
+class BaseMatrixImpl
+{
+ public:
+ virtual ~BaseMatrixImpl()
+ {
+ }
+
+ ConstVectorView row_const_view(size_t i) const
+ {
+ return ConstVectorView(gsl_matrix_const_row(m_matrix, i));
+ }
+
+ ConstVectorView column_const_view(size_t i) const
+ {
+ return ConstVectorView(gsl_matrix_const_column(m_matrix, i));
+ }
+
+ const double & operator() (size_t i, size_t j) const
+ {
+ return *gsl_matrix_const_ptr(m_matrix, i, j);
+ }
+
+ const gsl_matrix* get_gsl_matrix() const
+ {
+ return m_matrix;
+ }
+
+ bool is_zero() const
+ {
+ return gsl_matrix_isnull(m_matrix);
+ }
+
+ bool is_positive() const
+ {
+ return gsl_matrix_ispos(m_matrix);
+ }
+
+ bool is_negative() const
+ {
+ return gsl_matrix_isneg(m_matrix);
+ }
+
+ bool is_non_negative() const
+ {
+ for ( unsigned int i = 0; i < rows(); ++i )
+ {
+ for ( unsigned int j = 0; j < columns(); ++j )
+ {
+ if ( (*this)(i,j) < 0 ) return false;
+ }
+ }
+ return true;
+ }
+
+ double max() const
+ {
+ return gsl_matrix_max(m_matrix);
+ }
+
+ double min() const
+ {
+ return gsl_matrix_min(m_matrix);
+ }
+
+ std::pair<size_t, size_t>
+ max_index() const
+ {
+ std::pair<size_t, size_t> indices;
+ gsl_matrix_max_index(m_matrix, &(indices.first), &(indices.second));
+ return indices;
+ }
+
+ std::pair<size_t, size_t>
+ min_index() const
+ {
+ std::pair<size_t, size_t> indices;
+ gsl_matrix_min_index(m_matrix, &(indices.first), &(indices.second));
+ return indices;
+ }
+
+ size_t rows() const
+ {
+ return m_rows;
+ }
+
+ size_t columns() const
+ {
+ return m_columns;
+ }
+
+ std::string str() const;
+
+ protected:
+ size_t m_rows, m_columns;
+ gsl_matrix* m_matrix;
+
+}; // end class BaseMatrixImpl
+
+
+inline
+bool operator== (BaseMatrixImpl const& m1, BaseMatrixImpl const& m2)
+{
+ if (m1.rows() != m2.rows() || m1.columns() != m2.columns()) return false;
+
+ for (size_t i = 0; i < m1.rows(); ++i)
+ for (size_t j = 0; j < m1.columns(); ++j)
+ if (m1(i,j) != m2(i,j)) return false;
+
+ return true;
+}
+
+template< class charT >
+inline
+std::basic_ostream<charT> &
+operator<< (std::basic_ostream<charT> & os, const BaseMatrixImpl & _matrix)
+{
+ if (_matrix.rows() == 0 || _matrix.columns() == 0) return os;
+
+ os << "[[" << _matrix(0,0);
+ for (size_t j = 1; j < _matrix.columns(); ++j)
+ {
+ os << ", " << _matrix(0,j);
+ }
+ os << "]";
+
+ for (size_t i = 1; i < _matrix.rows(); ++i)
+ {
+ os << ", [" << _matrix(i,0);
+ for (size_t j = 1; j < _matrix.columns(); ++j)
+ {
+ os << ", " << _matrix(i,j);
+ }
+ os << "]";
+ }
+ os << "]";
+ return os;
+}
+
+inline
+std::string BaseMatrixImpl::str() const
+{
+ std::ostringstream oss;
+ oss << (*this);
+ return oss.str();
+}
+
+
+class MatrixImpl : public BaseMatrixImpl
+{
+ public:
+
+ typedef BaseMatrixImpl base_type;
+
+ void set_all( double x )
+ {
+ gsl_matrix_set_all(m_matrix, x);
+ }
+
+ void set_identity()
+ {
+ gsl_matrix_set_identity(m_matrix);
+ }
+
+ using base_type::operator();
+
+ double & operator() (size_t i, size_t j)
+ {
+ return *gsl_matrix_ptr(m_matrix, i, j);
+ }
+
+ using base_type::get_gsl_matrix;
+
+ gsl_matrix* get_gsl_matrix()
+ {
+ return m_matrix;
+ }
+
+ VectorView row_view(size_t i)
+ {
+ return VectorView(gsl_matrix_row(m_matrix, i));
+ }
+
+ VectorView column_view(size_t i)
+ {
+ return VectorView(gsl_matrix_column(m_matrix, i));
+ }
+
+ void swap_rows(size_t i, size_t j)
+ {
+ gsl_matrix_swap_rows(m_matrix, i, j);
+ }
+
+ void swap_columns(size_t i, size_t j)
+ {
+ gsl_matrix_swap_columns(m_matrix, i, j);
+ }
+
+ MatrixImpl & transpose()
+ {
+ assert(columns() == rows());
+ gsl_matrix_transpose(m_matrix);
+ return (*this);
+ }
+
+ MatrixImpl & scale(double x)
+ {
+ gsl_matrix_scale(m_matrix, x);
+ return (*this);
+ }
+
+ MatrixImpl & translate(double x)
+ {
+ gsl_matrix_add_constant(m_matrix, x);
+ return (*this);
+ }
+
+ MatrixImpl & operator+=(base_type const& _matrix)
+ {
+ gsl_matrix_add(m_matrix, _matrix.get_gsl_matrix());
+ return (*this);
+ }
+
+ MatrixImpl & operator-=(base_type const& _matrix)
+ {
+ gsl_matrix_sub(m_matrix, _matrix.get_gsl_matrix());
+ return (*this);
+ }
+
+}; // end class MatrixImpl
+
+} // end namespace detail
+
+
+using detail::operator==;
+using detail::operator<<;
+
+
+
+
+class Matrix: public detail::MatrixImpl
+{
+ public:
+ typedef detail::MatrixImpl base_type;
+
+ public:
+ // the matrix is not inizialized
+ Matrix(size_t n1, size_t n2)
+ {
+ m_rows = n1;
+ m_columns = n2;
+ m_matrix = gsl_matrix_alloc(n1, n2);
+ }
+
+ Matrix(size_t n1, size_t n2, double x)
+ {
+ m_rows = n1;
+ m_columns = n2;
+ m_matrix = gsl_matrix_alloc(n1, n2);
+ gsl_matrix_set_all(m_matrix, x);
+ }
+
+ Matrix(Matrix const& _matrix)
+ : base_type()
+ {
+ m_rows = _matrix.rows();
+ m_columns = _matrix.columns();
+ m_matrix = gsl_matrix_alloc(rows(), columns());
+ gsl_matrix_memcpy(m_matrix, _matrix.get_gsl_matrix());
+ }
+
+ explicit
+ Matrix(base_type::base_type const& _matrix)
+ {
+ m_rows = _matrix.rows();
+ m_columns = _matrix.columns();
+ m_matrix = gsl_matrix_alloc(rows(), columns());
+ gsl_matrix_memcpy(m_matrix, _matrix.get_gsl_matrix());
+ }
+
+ Matrix & operator=(Matrix const& _matrix)
+ {
+ assert( rows() == _matrix.rows() && columns() == _matrix.columns() );
+ gsl_matrix_memcpy(m_matrix, _matrix.get_gsl_matrix());
+ return *this;
+ }
+
+ Matrix & operator=(base_type::base_type const& _matrix)
+ {
+ assert( rows() == _matrix.rows() && columns() == _matrix.columns() );
+ gsl_matrix_memcpy(m_matrix, _matrix.get_gsl_matrix());
+ return *this;
+ }
+
+ virtual ~Matrix()
+ {
+ gsl_matrix_free(m_matrix);
+ }
+
+ Matrix & transpose()
+ {
+ return static_cast<Matrix &>( base_type::transpose() );
+ }
+
+ Matrix & scale(double x)
+ {
+ return static_cast<Matrix &>( base_type::scale(x) );
+ }
+
+ Matrix & translate(double x)
+ {
+ return static_cast<Matrix &>( base_type::translate(x) );
+ }
+
+ Matrix & operator+=(base_type::base_type const& _matrix)
+ {
+ return static_cast<Matrix &>( base_type::operator+=(_matrix) );
+ }
+
+ Matrix & operator-=(base_type::base_type const& _matrix)
+ {
+ return static_cast<Matrix &>( base_type::operator-=(_matrix) );
+ }
+
+ friend
+ void swap(Matrix & m1, Matrix & m2);
+ friend
+ void swap_any(Matrix & m1, Matrix & m2);
+
+}; // end class Matrix
+
+
+// warning! this operation invalidates any view of the passed matrix objects
+inline
+void swap(Matrix & m1, Matrix & m2)
+{
+ assert( m1.rows() == m2.rows() && m1.columns() == m2.columns() );
+ std::swap(m1.m_matrix, m2.m_matrix);
+}
+
+inline
+void swap_any(Matrix & m1, Matrix & m2)
+{
+ std::swap(m1.m_matrix, m2.m_matrix);
+ std::swap(m1.m_rows, m2.m_rows);
+ std::swap(m1.m_columns, m2.m_columns);
+}
+
+
+
+class ConstMatrixView : public detail::BaseMatrixImpl
+{
+ public:
+ typedef detail::BaseMatrixImpl base_type;
+
+ public:
+ ConstMatrixView(const base_type & _matrix, size_t k1, size_t k2, size_t n1, size_t n2)
+ : m_matrix_view( gsl_matrix_const_submatrix(_matrix.get_gsl_matrix(), k1, k2, n1, n2) )
+ {
+ m_rows = n1;
+ m_columns = n2;
+ m_matrix = const_cast<gsl_matrix*>( &(m_matrix_view.matrix) );
+ }
+
+ ConstMatrixView(const ConstMatrixView & _matrix)
+ : base_type(),
+ m_matrix_view(_matrix.m_matrix_view)
+ {
+ m_rows = _matrix.rows();
+ m_columns = _matrix.columns();
+ m_matrix = const_cast<gsl_matrix*>( &(m_matrix_view.matrix) );
+ }
+
+ ConstMatrixView(const base_type & _matrix)
+ : m_matrix_view(gsl_matrix_const_submatrix(_matrix.get_gsl_matrix(), 0, 0, _matrix.rows(), _matrix.columns()))
+ {
+ m_rows = _matrix.rows();
+ m_columns = _matrix.columns();
+ m_matrix = const_cast<gsl_matrix*>( &(m_matrix_view.matrix) );
+ }
+
+ private:
+ gsl_matrix_const_view m_matrix_view;
+
+}; // end class ConstMatrixView
+
+
+
+
+class MatrixView : public detail::MatrixImpl
+{
+ public:
+ typedef detail::MatrixImpl base_type;
+
+ public:
+ MatrixView(base_type & _matrix, size_t k1, size_t k2, size_t n1, size_t n2)
+ {
+ m_rows = n1;
+ m_columns = n2;
+ m_matrix_view
+ = gsl_matrix_submatrix(_matrix.get_gsl_matrix(), k1, k2, n1, n2);
+ m_matrix = &(m_matrix_view.matrix);
+ }
+
+ MatrixView(const MatrixView & _matrix)
+ : base_type()
+ {
+ m_rows = _matrix.rows();
+ m_columns = _matrix.columns();
+ m_matrix_view = _matrix.m_matrix_view;
+ m_matrix = &(m_matrix_view.matrix);
+ }
+
+ MatrixView(Matrix & _matrix)
+ {
+ m_rows = _matrix.rows();
+ m_columns = _matrix.columns();
+ m_matrix_view
+ = gsl_matrix_submatrix(_matrix.get_gsl_matrix(), 0, 0, rows(), columns());
+ m_matrix = &(m_matrix_view.matrix);
+ }
+
+ MatrixView & operator=(MatrixView const& _matrix)
+ {
+ assert( rows() == _matrix.rows() && columns() == _matrix.columns() );
+ gsl_matrix_memcpy(m_matrix, _matrix.m_matrix);
+ return *this;
+ }
+
+ MatrixView & operator=(base_type::base_type const& _matrix)
+ {
+ assert( rows() == _matrix.rows() && columns() == _matrix.columns() );
+ gsl_matrix_memcpy(m_matrix, _matrix.get_gsl_matrix());
+ return *this;
+ }
+
+ MatrixView & transpose()
+ {
+ return static_cast<MatrixView &>( base_type::transpose() );
+ }
+
+ MatrixView & scale(double x)
+ {
+ return static_cast<MatrixView &>( base_type::scale(x) );
+ }
+
+ MatrixView & translate(double x)
+ {
+ return static_cast<MatrixView &>( base_type::translate(x) );
+ }
+
+ MatrixView & operator+=(base_type::base_type const& _matrix)
+ {
+ return static_cast<MatrixView &>( base_type::operator+=(_matrix) );
+ }
+
+ MatrixView & operator-=(base_type::base_type const& _matrix)
+ {
+ return static_cast<MatrixView &>( base_type::operator-=(_matrix) );
+ }
+
+ friend
+ void swap_view(MatrixView & m1, MatrixView & m2);
+
+ private:
+ gsl_matrix_view m_matrix_view;
+
+}; // end class MatrixView
+
+
+inline
+void swap_view(MatrixView & m1, MatrixView & m2)
+{
+ assert( m1.rows() == m2.rows() && m1.columns() == m2.columns() );
+ std::swap(m1.m_matrix_view, m2.m_matrix_view);
+}
+
+Vector operator*( detail::BaseMatrixImpl const& A,
+ detail::BaseVectorImpl const& v );
+
+Matrix operator*( detail::BaseMatrixImpl const& A,
+ detail::BaseMatrixImpl const& B );
+
+Matrix pseudo_inverse(detail::BaseMatrixImpl const& A);
+
+} } // end namespaces
+
+#endif /*_NL_MATRIX_H_*/
+
+/*
+ Local Variables:
+ mode:c++
+ c-file-style:"stroustrup"
+ c-file-offsets:((innamespace . 0)(inline-open . 0)(case-label . +))
+ indent-tabs-mode:nil
+ fill-column:99
+ End:
+*/
+// vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=99 :
diff --git a/src/2geom/numeric/vector.h b/src/2geom/numeric/vector.h
index b25861e22..43a39a1ac 100644
--- a/src/2geom/numeric/vector.h
+++ b/src/2geom/numeric/vector.h
@@ -1,185 +1,565 @@
-#ifndef _NL_VECTOR_H_
-#define _NL_VECTOR_H_
-
-#include <cassert>
-#include <utility>
-
-#include <gsl/gsl_vector.h>
-
-
-namespace Geom { namespace NL {
-
-class Vector;
-void swap(Vector & v1, Vector & v2);
-
-
-class Vector
-{
-public:
- Vector(size_t n)
- : m_size(n)
- {
- m_vector = gsl_vector_alloc(n);
- }
-
- Vector(size_t n, double x)
- : m_size(n)
- {
- m_vector = gsl_vector_alloc(n);
- gsl_vector_set_all(m_vector, x);
- }
-
- // create a vector with n elements all set to zero
- // but the i-th that is set to 1
- Vector(size_t n, size_t i)
- : m_size(n)
- {
- m_vector = gsl_vector_alloc(n);
- gsl_vector_set_basis(m_vector, i);
- }
-
- Vector(Vector const& _vector)
- : m_size(_vector.size())
- {
- m_vector = gsl_vector_alloc(size());
- gsl_vector_memcpy(m_vector, _vector.m_vector);
- }
-
- virtual ~Vector()
- {
- gsl_vector_free(m_vector);
- }
-
- Vector & operator=(Vector const& _vector)
- {
- assert( size() == _vector.size() );
- gsl_vector_memcpy(m_vector, _vector.m_vector);
- return (*this);
- }
-
- void set_all(double x = 0)
- {
- gsl_vector_set_all(m_vector, x);
- }
-
- void set_basis(size_t i)
- {
- gsl_vector_set_basis(m_vector, i);
- }
-
- double const& operator[](size_t i) const
- {
- return *gsl_vector_const_ptr(m_vector, i);
- }
-
- double & operator[](size_t i)
- {
- return *gsl_vector_ptr(m_vector, i);
- }
-
- gsl_vector* get_gsl_vector()
- {
- return m_vector;
- }
-
- void swap_elements(size_t i, size_t j)
- {
- gsl_vector_swap_elements(m_vector, i, j);
- }
-
- void reverse()
- {
- gsl_vector_reverse(m_vector);
- }
-
- Vector & scale(double x)
- {
- gsl_vector_scale(m_vector, x);
- return (*this);
- }
-
- Vector & translate(double x)
- {
- gsl_vector_add_constant(m_vector, x);
- return (*this);
- }
-
- Vector & operator+=(Vector const& _vector)
- {
- gsl_vector_add(m_vector, _vector.m_vector);
- return (*this);
- }
-
- Vector & operator-=(Vector const& _vector)
- {
- gsl_vector_sub(m_vector, _vector.m_vector);
- return (*this);
- }
-
- bool is_zero() const
- {
- return gsl_vector_isnull(m_vector);
- }
-
- bool is_positive() const
- {
- return gsl_vector_ispos(m_vector);
- }
-
- bool is_negative() const
- {
- return gsl_vector_isneg(m_vector);
- }
-
- bool is_non_negative() const
- {
- for ( size_t i = 0; i < size(); ++i )
- {
- if ( (*this)[i] < 0 ) return false;
- }
- return true;
- }
-
- double max() const
- {
- return gsl_vector_max(m_vector);
- }
-
- double min() const
- {
- return gsl_vector_min(m_vector);
- }
-
- size_t max_index() const
- {
- return gsl_vector_max_index(m_vector);
- }
-
- size_t min_index() const
- {
- return gsl_vector_min_index(m_vector);
- }
-
- friend
- void swap(Vector & v1, Vector & v2);
-
- size_t size() const
- {
- return m_size;
- }
-
-private:
- size_t m_size;
- gsl_vector* m_vector;
-};
-
-void swap(Vector & v1, Vector & v2)
-{
- assert( v1.size() == v2.size() );
- std::swap(v1.m_vector, v2.m_vector);
-}
-
-} } // end namespaces
-
-
-#endif /*_NL_VECTOR_H_*/
+/*
+ * Vector, VectorView, ConstVectorView classes wrap the gsl vector routines;
+ * "views" mimic the semantic of C++ references: any operation performed
+ * on a "view" is actually performed on the "viewed object"
+ *
+ * Authors:
+ * Marco Cecchetti <mrcekets at gmail.com>
+ *
+ * Copyright 2008 authors
+ *
+ * This library is free software; you can redistribute it and/or
+ * modify it either under the terms of the GNU Lesser General Public
+ * License version 2.1 as published by the Free Software Foundation
+ * (the "LGPL") or, at your option, under the terms of the Mozilla
+ * Public License Version 1.1 (the "MPL"). If you do not alter this
+ * notice, a recipient may use your version of this file under either
+ * the MPL or the LGPL.
+ *
+ * You should have received a copy of the LGPL along with this library
+ * in the file COPYING-LGPL-2.1; if not, write to the Free Software
+ * Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
+ * You should have received a copy of the MPL along with this library
+ * in the file COPYING-MPL-1.1
+ *
+ * The contents of this file are subject to the Mozilla Public License
+ * Version 1.1 (the "License"); you may not use this file except in
+ * compliance with the License. You may obtain a copy of the License at
+ * http://www.mozilla.org/MPL/
+ *
+ * This software is distributed on an "AS IS" basis, WITHOUT WARRANTY
+ * OF ANY KIND, either express or implied. See the LGPL or the MPL for
+ * the specific language governing rights and limitations.
+ */
+
+
+
+
+#ifndef _NL_VECTOR_H_
+#define _NL_VECTOR_H_
+
+#include <cassert>
+#include <algorithm> // for std::swap
+#include <vector>
+#include <sstream>
+#include <string>
+
+
+#include <gsl/gsl_vector.h>
+#include <gsl/gsl_blas.h>
+
+
+namespace Geom { namespace NL {
+
+namespace detail
+{
+
+class BaseVectorImpl
+{
+ public:
+ double const& operator[](size_t i) const
+ {
+ return *gsl_vector_const_ptr(m_vector, i);
+ }
+
+ const gsl_vector* get_gsl_vector() const
+ {
+ return m_vector;
+ }
+ bool is_zero() const
+ {
+ return gsl_vector_isnull(m_vector);
+ }
+
+ bool is_positive() const
+ {
+ return gsl_vector_ispos(m_vector);
+ }
+
+ bool is_negative() const
+ {
+ return gsl_vector_isneg(m_vector);
+ }
+
+ bool is_non_negative() const
+ {
+ for ( size_t i = 0; i < size(); ++i )
+ {
+ if ( (*this)[i] < 0 ) return false;
+ }
+ return true;
+ }
+
+ double max() const
+ {
+ return gsl_vector_max(m_vector);
+ }
+
+ double min() const
+ {
+ return gsl_vector_min(m_vector);
+ }
+
+ size_t max_index() const
+ {
+ return gsl_vector_max_index(m_vector);
+ }
+
+ size_t min_index() const
+ {
+ return gsl_vector_min_index(m_vector);
+ }
+
+ size_t size() const
+ {
+ return m_size;
+ }
+
+ std::string str() const;
+
+ virtual ~BaseVectorImpl()
+ {
+ }
+
+ protected:
+ size_t m_size;
+ gsl_vector* m_vector;
+
+}; // end class BaseVectorImpl
+
+
+inline
+bool operator== (BaseVectorImpl const& v1, BaseVectorImpl const& v2)
+{
+ if (v1.size() != v2.size()) return false;
+
+ for (size_t i = 0; i < v1.size(); ++i)
+ {
+ if (v1[i] != v2[i]) return false;
+ }
+ return true;
+}
+
+template< class charT >
+inline
+std::basic_ostream<charT> &
+operator<< (std::basic_ostream<charT> & os, const BaseVectorImpl & _vector)
+{
+ if (_vector.size() == 0 ) return os;
+ os << "[" << _vector[0];
+ for (unsigned int i = 1; i < _vector.size(); ++i)
+ {
+ os << ", " << _vector[i];
+ }
+ os << "]";
+ return os;
+}
+
+inline
+std::string BaseVectorImpl::str() const
+{
+ std::ostringstream oss;
+ oss << (*this);
+ return oss.str();
+}
+
+inline
+double dot(BaseVectorImpl const& v1, BaseVectorImpl const& v2)
+{
+ double result;
+ gsl_blas_ddot(v1.get_gsl_vector(), v2.get_gsl_vector(), &result);
+ return result;
+}
+
+
+class VectorImpl : public BaseVectorImpl
+{
+ public:
+ typedef BaseVectorImpl base_type;
+
+ public:
+ void set_all(double x)
+ {
+ gsl_vector_set_all(m_vector, x);
+ }
+
+ void set_basis(size_t i)
+ {
+ gsl_vector_set_basis(m_vector, i);
+ }
+
+ using base_type::operator[];
+
+ double & operator[](size_t i)
+ {
+ return *gsl_vector_ptr(m_vector, i);
+ }
+
+ using base_type::get_gsl_vector;
+
+ gsl_vector* get_gsl_vector()
+ {
+ return m_vector;
+ }
+
+ void swap_elements(size_t i, size_t j)
+ {
+ gsl_vector_swap_elements(m_vector, i, j);
+ }
+
+ void reverse()
+ {
+ gsl_vector_reverse(m_vector);
+ }
+
+ VectorImpl & scale(double x)
+ {
+ gsl_vector_scale(m_vector, x);
+ return (*this);
+ }
+
+ VectorImpl & translate(double x)
+ {
+ gsl_vector_add_constant(m_vector, x);
+ return (*this);
+ }
+
+ VectorImpl & operator+=(base_type const& _vector)
+ {
+ gsl_vector_add(m_vector, _vector.get_gsl_vector());
+ return (*this);
+ }
+
+ VectorImpl & operator-=(base_type const& _vector)
+ {
+ gsl_vector_sub(m_vector, _vector.get_gsl_vector());
+ return (*this);
+ }
+
+}; // end class VectorImpl
+
+} // end namespace detail
+
+
+using detail::operator==;
+using detail::operator<<;
+
+class Vector : public detail::VectorImpl
+{
+ public:
+ typedef detail::VectorImpl base_type;
+
+ public:
+ Vector(size_t n)
+ {
+ m_size = n;
+ m_vector = gsl_vector_alloc(n);
+ }
+
+ Vector(size_t n, double x)
+ {
+ m_size = n;
+ m_vector = gsl_vector_alloc(n);
+ gsl_vector_set_all(m_vector, x);
+ }
+
+ // create a vector with n elements all set to zero
+ // but the i-th that is set to 1
+ Vector(size_t n, size_t i)
+ {
+ m_size = n;
+ m_vector = gsl_vector_alloc(n);
+ gsl_vector_set_basis(m_vector, i);
+ }
+
+ Vector(Vector const& _vector)
+ : base_type()
+ {
+ m_size = _vector.size();
+ m_vector = gsl_vector_alloc(size());
+ gsl_vector_memcpy(m_vector, _vector.m_vector);
+ }
+
+ explicit
+ Vector(base_type::base_type const& _vector)
+ {
+ m_size = _vector.size();
+ m_vector = gsl_vector_alloc(size());
+ gsl_vector_memcpy(m_vector, _vector.get_gsl_vector());
+ }
+
+ virtual ~Vector()
+ {
+ gsl_vector_free(m_vector);
+ }
+
+
+ Vector & operator=(Vector const& _vector)
+ {
+ assert( size() == _vector.size() );
+ gsl_vector_memcpy(m_vector, _vector.m_vector);
+ return (*this);
+ }
+
+ Vector & operator=(base_type::base_type const& _vector)
+ {
+ assert( size() == _vector.size() );
+ gsl_vector_memcpy(m_vector, _vector.get_gsl_vector());
+ return (*this);
+ }
+
+ Vector & scale(double x)
+ {
+ return static_cast<Vector&>( base_type::scale(x) );
+ }
+
+ Vector & translate(double x)
+ {
+ return static_cast<Vector&>( base_type::translate(x) );
+ }
+
+ Vector & operator+=(base_type::base_type const& _vector)
+ {
+ return static_cast<Vector&>( base_type::operator+=(_vector) );
+ }
+
+ Vector & operator-=(base_type::base_type const& _vector)
+ {
+ return static_cast<Vector&>( base_type::operator-=(_vector) );
+ }
+
+ friend
+ void swap(Vector & v1, Vector & v2);
+ friend
+ void swap_any(Vector & v1, Vector & v2);
+
+}; // end class Vector
+
+
+// warning! these operations invalidate any view of the passed vector objects
+inline
+void swap(Vector & v1, Vector & v2)
+{
+ assert( v1.size() == v2.size() );
+ std::swap(v1.m_vector, v2.m_vector);
+}
+
+inline
+void swap_any(Vector & v1, Vector & v2)
+{
+ std::swap(v1.m_vector, v2.m_vector);
+ std::swap(v1.m_size, v2.m_size);
+}
+
+
+class ConstVectorView : public detail::BaseVectorImpl
+{
+ public:
+ typedef detail::BaseVectorImpl base_type;
+
+ public:
+ ConstVectorView(const base_type & _vector, size_t n, size_t offset = 0)
+ : m_vector_view( gsl_vector_const_subvector(_vector.get_gsl_vector(), offset, n) )
+ {
+ m_size = n;
+ m_vector = const_cast<gsl_vector*>( &(m_vector_view.vector) );
+ }
+
+ ConstVectorView(const base_type & _vector, size_t n, size_t offset , size_t stride)
+ : m_vector_view( gsl_vector_const_subvector_with_stride(_vector.get_gsl_vector(), offset, stride, n) )
+ {
+ m_size = n;
+ m_vector = const_cast<gsl_vector*>( &(m_vector_view.vector) );
+ }
+
+ ConstVectorView(const double* _vector, size_t n, size_t offset = 0)
+ : m_vector_view( gsl_vector_const_view_array(_vector + offset, n) )
+ {
+ m_size = n;
+ m_vector = const_cast<gsl_vector*>( &(m_vector_view.vector) );
+ }
+
+ ConstVectorView(const double* _vector, size_t n, size_t offset, size_t stride)
+ : m_vector_view( gsl_vector_const_view_array_with_stride(_vector + offset, stride, n) )
+ {
+ m_size = n;
+ m_vector = const_cast<gsl_vector*>( &(m_vector_view.vector) );
+ }
+
+ explicit
+ ConstVectorView(gsl_vector_const_view _gsl_vector_view)
+ : m_vector_view(_gsl_vector_view)
+ {
+ m_vector = const_cast<gsl_vector*>( &(m_vector_view.vector) );
+ m_size = m_vector->size;
+ }
+
+ explicit
+ ConstVectorView(const std::vector<double>& _vector)
+ : m_vector_view( gsl_vector_const_view_array(&(_vector[0]), _vector.size()) )
+ {
+ m_vector = const_cast<gsl_vector*>( &(m_vector_view.vector) );
+ m_size = _vector.size();
+ }
+
+ ConstVectorView(const ConstVectorView & _vector)
+ : base_type(),
+ m_vector_view(_vector.m_vector_view)
+ {
+ m_size = _vector.size();
+ m_vector = const_cast<gsl_vector*>( &(m_vector_view.vector) );
+ }
+
+ ConstVectorView(const base_type & _vector)
+ : m_vector_view(gsl_vector_const_subvector(_vector.get_gsl_vector(), 0, _vector.size()))
+ {
+ m_size = _vector.size();
+ m_vector = const_cast<gsl_vector*>( &(m_vector_view.vector) );
+ }
+
+ private:
+ gsl_vector_const_view m_vector_view;
+
+}; // end class ConstVectorView
+
+
+
+
+class VectorView : public detail::VectorImpl
+{
+ public:
+ typedef detail::VectorImpl base_type;
+
+ public:
+ VectorView(base_type & _vector, size_t n, size_t offset = 0, size_t stride = 1)
+ {
+ m_size = n;
+ if (stride == 1)
+ {
+ m_vector_view
+ = gsl_vector_subvector(_vector.get_gsl_vector(), offset, n);
+ m_vector = &(m_vector_view.vector);
+ }
+ else
+ {
+ m_vector_view
+ = gsl_vector_subvector_with_stride(_vector.get_gsl_vector(), offset, stride, n);
+ m_vector = &(m_vector_view.vector);
+ }
+ }
+
+ VectorView(double* _vector, size_t n, size_t offset = 0, size_t stride = 1)
+ {
+ m_size = n;
+ if (stride == 1)
+ {
+ m_vector_view
+ = gsl_vector_view_array(_vector + offset, n);
+ m_vector = &(m_vector_view.vector);
+ }
+ else
+ {
+ m_vector_view
+ = gsl_vector_view_array_with_stride(_vector + offset, stride, n);
+ m_vector = &(m_vector_view.vector);
+ }
+
+ }
+
+ VectorView(const VectorView & _vector)
+ : base_type()
+ {
+ m_size = _vector.size();
+ m_vector_view = _vector.m_vector_view;
+ m_vector = &(m_vector_view.vector);
+ }
+
+ VectorView(Vector & _vector)
+ {
+ m_size = _vector.size();
+ m_vector_view = gsl_vector_subvector(_vector.get_gsl_vector(), 0, size());
+ m_vector = &(m_vector_view.vector);
+ }
+
+ explicit
+ VectorView(gsl_vector_view _gsl_vector_view)
+ : m_vector_view(_gsl_vector_view)
+ {
+ m_vector = &(m_vector_view.vector);
+ m_size = m_vector->size;
+ }
+
+ explicit
+ VectorView(std::vector<double> & _vector)
+ {
+ m_size = _vector.size();
+ m_vector_view = gsl_vector_view_array(&(_vector[0]), _vector.size());
+ m_vector = &(m_vector_view.vector);
+ }
+
+ VectorView & operator=(VectorView const& _vector)
+ {
+ assert( size() == _vector.size() );
+ gsl_vector_memcpy(m_vector, _vector.get_gsl_vector());
+ return (*this);
+ }
+
+ VectorView & operator=(base_type::base_type const& _vector)
+ {
+ assert( size() == _vector.size() );
+ gsl_vector_memcpy(m_vector, _vector.get_gsl_vector());
+ return (*this);
+ }
+
+ VectorView & scale(double x)
+ {
+ return static_cast<VectorView&>( base_type::scale(x) );
+ }
+
+ VectorView & translate(double x)
+ {
+ return static_cast<VectorView&>( base_type::translate(x) );
+ }
+
+ VectorView & operator+=(base_type::base_type const& _vector)
+ {
+ return static_cast<VectorView&>( base_type::operator+=(_vector) );
+ }
+
+ VectorView & operator-=(base_type::base_type const& _vector)
+ {
+ return static_cast<VectorView&>( base_type::operator-=(_vector) );
+ }
+
+ friend
+ void swap_view(VectorView & v1, VectorView & v2);
+
+ private:
+ gsl_vector_view m_vector_view;
+
+}; // end class VectorView
+
+
+inline
+void swap_view(VectorView & v1, VectorView & v2)
+{
+ assert( v1.size() == v2.size() );
+ std::swap(v1.m_vector_view, v2.m_vector_view); // not swap m_vector too
+}
+
+
+} } // end namespaces
+
+
+#endif /*_NL_VECTOR_H_*/
+
+/*
+ Local Variables:
+ mode:c++
+ c-file-style:"stroustrup"
+ c-file-offsets:((innamespace . 0)(inline-open . 0)(case-label . +))
+ indent-tabs-mode:nil
+ fill-column:99
+ End:
+*/
+// vim: filetype=cpp:expandtab:shiftwidth=4:tabstop=8:softtabstop=4:encoding=utf-8:textwidth=99 :