git.s-ol.nu forks/glm-zig / 825a06d
add MatN invert(), apply() s-ol 1 year, 11 months ago
1 changed file(s) with 107 addition(s) and 0 deletion(s). Raw diff Collapse all Expand all
00 const std = @import("std");
11 const math = std.math;
22 const testing = std.testing;
3 const Vector = @import("vector.zig").Vector;
34
45 pub fn Matrix(comptime N: usize) type {
56 return packed struct {
5960 }
6061
6162 return result;
63 }
64
65 pub fn invert(src: Self) ?Self {
66 // https://github.com/stackgl/gl-mat4/blob/master/invert.js
67 const a = @bitCast([16]f32, src.values);
68
69 const a00 = a[0];
70 const a01 = a[1];
71 const a02 = a[2];
72 const a03 = a[3];
73 const a10 = a[4];
74 const a11 = a[5];
75 const a12 = a[6];
76 const a13 = a[7];
77 const a20 = a[8];
78 const a21 = a[9];
79 const a22 = a[10];
80 const a23 = a[11];
81 const a30 = a[12];
82 const a31 = a[13];
83 const a32 = a[14];
84 const a33 = a[15];
85
86 const b00 = a00 * a11 - a01 * a10;
87 const b01 = a00 * a12 - a02 * a10;
88 const b02 = a00 * a13 - a03 * a10;
89 const b03 = a01 * a12 - a02 * a11;
90 const b04 = a01 * a13 - a03 * a11;
91 const b05 = a02 * a13 - a03 * a12;
92 const b06 = a20 * a31 - a21 * a30;
93 const b07 = a20 * a32 - a22 * a30;
94 const b08 = a20 * a33 - a23 * a30;
95 const b09 = a21 * a32 - a22 * a31;
96 const b10 = a21 * a33 - a23 * a31;
97 const b11 = a22 * a33 - a23 * a32;
98
99 // Calculate the determinant
100 var det = b00 * b11 - b01 * b10 + b02 * b09 + b03 * b08 - b04 * b07 + b05 * b06;
101
102 if (std.math.approxEqAbs(f32, det, 0, 1e-8)) {
103 return null;
104 }
105 det = 1.0 / det;
106
107 const out = [16]f32{
108 (a11 * b11 - a12 * b10 + a13 * b09) * det, // 0
109 (a02 * b10 - a01 * b11 - a03 * b09) * det, // 1
110 (a31 * b05 - a32 * b04 + a33 * b03) * det, // 2
111 (a22 * b04 - a21 * b05 - a23 * b03) * det, // 3
112 (a12 * b08 - a10 * b11 - a13 * b07) * det, // 4
113 (a00 * b11 - a02 * b08 + a03 * b07) * det, // 5
114 (a32 * b02 - a30 * b05 - a33 * b01) * det, // 6
115 (a20 * b05 - a22 * b02 + a23 * b01) * det, // 7
116 (a10 * b10 - a11 * b08 + a13 * b06) * det, // 8
117 (a01 * b08 - a00 * b10 - a03 * b06) * det, // 9
118 (a30 * b04 - a31 * b02 + a33 * b00) * det, // 10
119 (a21 * b02 - a20 * b04 - a23 * b00) * det, // 11
120 (a11 * b07 - a10 * b09 - a12 * b06) * det, // 12
121 (a00 * b09 - a01 * b07 + a02 * b06) * det, // 13
122 (a31 * b01 - a30 * b03 - a32 * b00) * det, // 14
123 (a20 * b03 - a21 * b01 + a22 * b00) * det, // 15
124 };
125 return Self{
126 .values = @bitCast([4][4]f32, out),
127 };
62128 }
63129
64130 /// Multiplies 2 matrices together.
83149 }
84150
85151 result.values[i][j] = sum;
152 }
153 }
154
155 return result;
156 }
157
158 /// Multiplies 2 matrices together.
159 pub fn mulAssign(self: *Self, other: Self) void {
160 const a = self.transpose();
161 const b = other;
162
163 comptime var i = 0;
164 inline while (i < N) : (i += 1) {
165 comptime var j = 0;
166 inline while (j < N) : (j += 1) {
167 const row: @Vector(N, Scalar) = a.values[j];
168 const column: @Vector(N, Scalar) = b.values[i];
169 const products: [N]Scalar = row * column;
170
171 var sum = @floatCast(f32, 0);
172 comptime var k = 0;
173 inline while (k < N) : (k += 1) {
174 sum += products[k];
175 }
176
177 self.values[i][j] = sum;
178 }
179 }
180 }
181
182 const VecN = Vector(N);
183 pub fn apply(self: Self, vec: VecN) VecN {
184 var result: VecN = undefined;
185
186 comptime var i = 0;
187 inline while (i < N) : (i += 1) {
188 result.values[i] = 0;
189
190 comptime var j = 0;
191 inline while (j < N) : (j += 1) {
192 result.values[i] += self.values[i][j] * vec.values[j];
86193 }
87194 }
88195