mex

I am trying to write some mex code but it is painful to debug it on the console with gbd. Is it possible to use Eclipse or the GUI of Matlab? If these are not feasible methods, what is the best way of writing mex code that provides good debug capabilities? Eitan T Debugging C/C++ MEX files in gdb is already comprehensively covered in the official documentation , so my suggestion is to try and integrate gdb with Eclipse CDT. There's plenty of information out there about how to do it properly, so I'm not going to repeat everything here. The best tutorial I know is IBM's two-part guide,

I have to read some .mat data files from c++, I read through the documentation, but I would like to know how to handle the data in a clean and elegant way, e.g. using std:vector(modest .mat file size(10M~1G), but memory issues should be taken seriously) My function is sth like: #include <stdio.h> #include "mat.h" #include <vector> int matread(const char *file, const vector<double>& pdata_v) { MATFile *pmat; pmat=matOpen("data.mat","r"); if (pmat == NULL) { printf("Error opening file %s\n", file); return(1); } mxArray *pdata = matGetVariable(pmat, "LocalDouble"); // pdata -> pdata_v mxDestroy

I'm at a loss to explain (and avoid) the differences in speed between a Matlab mex program and the corresponding C program with no Matlab interface. I've been profiling a numerical analysis program: int main(){ Well_optimized_code(); } compiled with gcc 4.4 against the Matlab-Mex equivalent (directed to use gcc44, which is not the version currently supported by Matlab, but it's required for other reasons): void mexFunction(int nlhs,mxArray* plhs[], int nrhs, const mxArray* prhs[]){ Well_optimized_code(); //literally the exact same code } I performed the timings as: $ time ./C_version vs. >>

I have a C-Code generated by the Simulink Coder that I need to use in a C S-function. This may sound a bit strange but I need this Code to be executed multiple times within the s-function before writing the outputs of the s-function (it's an evolutionary algorithm that needs to simulate a prediction for a lot of individuals before evaluation and ranking...but those details do not really matter). The Problem is that I seem to have a problem with the 64bit instruction set when trying to mex my code. I am taking the generated erg_main.c as an example on how to interact with the generated code: /*

I have been stuck on this problem for several weeks and been looking around on Internet for solution but so far not so good... So I have a program written by someone else and I try to compile it in Matlab to make it work. My computer is Red-hat enterprise Linux workstation (64 bits) with gcc 4.4.3 and Matlab 2011b installed. The gcc is compatible with my Matlab ( http://www.mathworks.com/support/compilers/R2011b/glnxa64.html ). The compilation works fine (I mean, no error message occurs in Matlab command window). But after compilation, every time when I use a specific function from the

I am passing an integer array of uint8 type from MATLAB to a MEX-function. How do I read these values? I tried using: int *n; n = (int * ) mxGetData(prhs[0]); but the values come out as junk. I also tried double *n; n= mxGetPr(prhs[0]); and in this case junk values also appear. What is the solution to this? Basically I want to read the integer value in the MEX-function but mxGetPr returns double type. Take a look at the demo MEX-function explore.c, which you can open in MATLAB using edit([matlabroot '/extern/examples/mex/explore.c']); In there you'll find a bunch of functions whose names all