/* Copyright 2015 The Chromium OS Authors. All rights reserved. * Use of this source code is governed by a BSD-style license that can be * found in the LICENSE file. */ #include "common.h" #include "mat33.h" #include "math.h" #include "util.h" #define K_EPSILON 1E-5f void mat33_fp_init_zero(mat33_fp_t A) { memset(A, 0, sizeof(mat33_fp_t)); } void mat33_fp_init_diagonal(mat33_fp_t A, fp_t x) { const size_t N = 3; size_t i; mat33_fp_init_zero(A); for (i = 0; i < N; ++i) A[i][i] = x; } void mat33_fp_scalar_mul(mat33_fp_t A, fp_t c) { const size_t N = 3; size_t i; for (i = 0; i < N; ++i) { size_t j; for (j = 0; j < N; ++j) A[i][j] = fp_mul(A[i][j], c); } } void mat33_fp_swap_rows(mat33_fp_t A, const size_t i, const size_t j) { const size_t N = 3; size_t k; if (i == j) return; for (k = 0; k < N; ++k) { fp_t tmp = A[i][k]; A[i][k] = A[j][k]; A[j][k] = tmp; } } /* * Returns the eigenvalues and corresponding eigenvectors of the _symmetric_ * matrix. * The i-th eigenvalue corresponds to the eigenvector in the i-th _row_ of * "eigenvecs". */ void mat33_fp_get_eigenbasis(mat33_fp_t S, fpv3_t e_vals, mat33_fp_t e_vecs) { const size_t N = 3; sizev3_t ind; size_t i, j, k, l, m; for (k = 0; k < N; ++k) { ind[k] = mat33_fp_maxind(S, k); e_vals[k] = S[k][k]; } mat33_fp_init_diagonal(e_vecs, FLOAT_TO_FP(1.0f)); for (;;) { fp_t y, t, s, c, p, sum; m = 0; for (k = 1; k + 1 < N; ++k) if (fp_abs(S[k][ind[k]]) > fp_abs(S[m][ind[m]])) m = k; k = m; l = ind[m]; p = S[k][l]; /* * Note: K_EPSILON(1E-5) is too small to fit into 32-bit * fixed-point(with 16 fp bits). The minimum positive value is * 1 which is approximately 1.52E-5, so the * FLOAT_TO_FP(K_EPSILON) becomes zero. */ if (fp_abs(p) <= FLOAT_TO_FP(K_EPSILON)) break; y = fp_mul(e_vals[l] - e_vals[k], FLOAT_TO_FP(0.5f)); t = fp_abs(y) + fp_sqrtf(fp_sq(p) + fp_sq(y)); s = fp_sqrtf(fp_sq(p) + fp_sq(t)); c = fp_div_dbz(t, s); s = fp_div_dbz(p, s); t = fp_div_dbz(fp_sq(p), t); if (y < FLOAT_TO_FP(0.0f)) { s = -s; t = -t; } S[k][l] = FLOAT_TO_FP(0.0f); e_vals[k] -= t; e_vals[l] += t; for (i = 0; i < k; ++i) mat33_fp_rotate(S, c, s, i, k, i, l); for (i = k + 1; i < l; ++i) mat33_fp_rotate(S, c, s, k, i, i, l); for (i = l + 1; i < N; ++i) mat33_fp_rotate(S, c, s, k, i, l, i); for (i = 0; i < N; ++i) { fp_t tmp = fp_mul(c, e_vecs[k][i]) - fp_mul(s, e_vecs[l][i]); e_vecs[l][i] = fp_mul(s, e_vecs[k][i]) + fp_mul(c, e_vecs[l][i]); e_vecs[k][i] = tmp; } ind[k] = mat33_fp_maxind(S, k); ind[l] = mat33_fp_maxind(S, l); sum = FLOAT_TO_FP(0.0f); for (i = 0; i < N; ++i) for (j = i + 1; j < N; ++j) sum += fp_abs(S[i][j]); /* * Note: K_EPSILON(1E-5) is too small to fit into 32-bit * fixed-point(with 16 fp bits). The minimum positive value is * 1 which is approximately 1.52E-5, so the * FLOAT_TO_FP(K_EPSILON) becomes zero. */ if (sum <= FLOAT_TO_FP(K_EPSILON)) break; } for (k = 0; k < N; ++k) { m = k; for (l = k + 1; l < N; ++l) if (e_vals[l] > e_vals[m]) m = l; if (k != m) { fp_t tmp = e_vals[k]; e_vals[k] = e_vals[m]; e_vals[m] = tmp; mat33_fp_swap_rows(e_vecs, k, m); } } } /* index of largest off-diagonal element in row k */ size_t mat33_fp_maxind(mat33_fp_t A, size_t k) { const size_t N = 3; size_t i, m = k + 1; for (i = k + 2; i < N; ++i) if (fp_abs(A[k][i]) > fp_abs(A[k][m])) m = i; return m; } void mat33_fp_rotate(mat33_fp_t A, fp_t c, fp_t s, size_t k, size_t l, size_t i, size_t j) { fp_t tmp = fp_mul(c, A[k][l]) - fp_mul(s, A[i][j]); A[i][j] = fp_mul(s, A[k][l]) + fp_mul(c, A[i][j]); A[k][l] = tmp; }