matlab/solveTV2_PGc.cpp
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <math.h>
#include <float.h>
#include <limits.h>
#include "mex.h"
#include "../src/TVopt.h"
/* solveTV2_PGc.cpp
Solves the TV-L2 proximity problem by applying a Projected Gradient algorithm.
Parameters:
- 0: reference signal y.
- 1: lambda penalty.
Outputs:
- 0: primal solution x.
- 1: array with optimizer information:
+ [0]: number of iterations run.
+ [1]: dual gap.
*/
void mexFunction(int nlhs, mxArray *plhs[ ],int nrhs, const mxArray *prhs[ ]) {
double *x,*y,*info;
double lambda;
int M,N,nn,i;
/* Create output arrays */
M = mxGetM(prhs[0]);
N = mxGetN(prhs[0]);
nn = (M > N) ? M : N;
if(nlhs >= 1){
plhs[0] = mxCreateDoubleMatrix(nn,1,mxREAL);
x = mxGetPr(plhs[0]);
}
else x = (double*)malloc(sizeof(double)*nn);
if(nlhs >= 2){
plhs[1] = mxCreateDoubleMatrix(N_INFO,1,mxREAL);
info = mxGetPr(plhs[1]);
}
/* Retrieve input data */
y = mxGetPr(prhs[0]);
lambda = mxGetScalar(prhs[1]);
/* Run Gradient Newton */
PG_TV2(y,lambda,x,info,nn);
/* Free resources */
if(!nlhs) free(x);
return;
}