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- /*
- * linear least squares model
- *
- * Copyright (c) 2006 Michael Niedermayer <michaelni@gmx.at>
- *
- * This file is part of FFmpeg.
- *
- * FFmpeg is free software; you can redistribute it and/or
- * modify it under the terms of the GNU Lesser General Public
- * License as published by the Free Software Foundation; either
- * version 2.1 of the License, or (at your option) any later version.
- *
- * FFmpeg is distributed in the hope that it will be useful,
- * but WITHOUT ANY WARRANTY; without even the implied warranty of
- * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
- * Lesser General Public License for more details.
- *
- * You should have received a copy of the GNU Lesser General Public
- * License along with FFmpeg; if not, write to the Free Software
- * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
- */
- /**
- * @file
- * linear least squares model
- */
- #include <math.h>
- #include <string.h>
- #include "attributes.h"
- #include "internal.h"
- #include "version.h"
- #include "lls.h"
- static void update_lls(LLSModel *m, const double *var)
- {
- int i, j;
- for (i = 0; i <= m->indep_count; i++) {
- for (j = i; j <= m->indep_count; j++) {
- m->covariance[i][j] += var[i] * var[j];
- }
- }
- }
- void avpriv_solve_lls(LLSModel *m, double threshold, unsigned short min_order)
- {
- int i, j, k;
- double (*factor)[MAX_VARS_ALIGN] = (void *) &m->covariance[1][0];
- double (*covar) [MAX_VARS_ALIGN] = (void *) &m->covariance[1][1];
- double *covar_y = m->covariance[0];
- int count = m->indep_count;
- for (i = 0; i < count; i++) {
- for (j = i; j < count; j++) {
- double sum = covar[i][j];
- for (k = 0; k <= i-1; k++)
- sum -= factor[i][k] * factor[j][k];
- if (i == j) {
- if (sum < threshold)
- sum = 1.0;
- factor[i][i] = sqrt(sum);
- } else {
- factor[j][i] = sum / factor[i][i];
- }
- }
- }
- for (i = 0; i < count; i++) {
- double sum = covar_y[i + 1];
- for (k = 0; k <= i-1; k++)
- sum -= factor[i][k] * m->coeff[0][k];
- m->coeff[0][i] = sum / factor[i][i];
- }
- for (j = count - 1; j >= min_order; j--) {
- for (i = j; i >= 0; i--) {
- double sum = m->coeff[0][i];
- for (k = i + 1; k <= j; k++)
- sum -= factor[k][i] * m->coeff[j][k];
- m->coeff[j][i] = sum / factor[i][i];
- }
- m->variance[j] = covar_y[0];
- for (i = 0; i <= j; i++) {
- double sum = m->coeff[j][i] * covar[i][i] - 2 * covar_y[i + 1];
- for (k = 0; k < i; k++)
- sum += 2 * m->coeff[j][k] * covar[k][i];
- m->variance[j] += m->coeff[j][i] * sum;
- }
- }
- }
- static double evaluate_lls(LLSModel *m, const double *param, int order)
- {
- int i;
- double out = 0;
- for (i = 0; i <= order; i++)
- out += param[i] * m->coeff[order][i];
- return out;
- }
- av_cold void avpriv_init_lls(LLSModel *m, int indep_count)
- {
- memset(m, 0, sizeof(LLSModel));
- m->indep_count = indep_count;
- m->update_lls = update_lls;
- m->evaluate_lls = evaluate_lls;
- if (ARCH_X86)
- ff_init_lls_x86(m);
- }
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