1. In MATLAB, examine the MATLAB code that you want packaged.

   For this example, copy the matrix folder that ships with MATLAB to your work folder.

   copyfile(fullfile(matlabroot,'extern','examples','compilersdk','c_cpp','matrix'),'matrix')

   Navigate to the new matrix subfolder in your work folder.

2. Examine and test the functions addmatrix.m, multiplymatrix.m, and eigmatrix.m.

    addmatrix.m

   function a = addmatrix(a1, a2)
   
   a = a1 + a2;

   At the MATLAB command prompt, enter addmatrix([1 4 7; 2 5 8; 3 6 9], [1 4 7; 2 5 8; 3 6 9]).

   The output is:

    ans =
        2     8    14
        4    10    16
        6    12    18

    multiplymatrix.m

   function m = multiplymatrix(a1, a2)
   
   m =  a1*a2;

   At the MATLAB command prompt, enter multiplymatrix([1 4 7; 2 5 8; 3 6 9], [1 4 7; 2 5 8; 3 6 9]).

   The output is:

    ans =
       30    66   102
       36    81   126
       42    96   150

    eigmatrix.m

   function e = eigmatrix(a1)
   
       try
           %Tries to calculate the eigenvalues and return them.
           e = eig(a1);
       catch
           %Returns a -1 on error.
           e = -1;
   end

   At the MATLAB command prompt, enter eigmatrix([1 4 7; 2 5 8; 3 6 9]).

   The output is:

    ans =
      16.1168
      -1.1168
      -0.0000
   

1. On the MATLAB Apps tab, on the far right of the Apps section, click the arrow. In Application Deployment, click Library Compiler. In the MATLAB Compiler project window, click C Shared Library.

   

   Alternately, you can open the Library Compiler app by entering libraryCompiler at the MATLAB prompt.

2. In the Library Compiler app project window, specify the files of the MATLAB application that you want to deploy.

   1. In the Exported Functions section of the toolstrip, click .

   2. In the Add Files window, browse to the example folder, and select the function you want to package. Click Open.

   The function is added to the list of exported function files. Repeat this step to package multiple files in the same application.

   Add addmatrix.m, multiplymatrix.m, and eigmatrix.m to the list of main files.

3. In the Packaging Options section of the toolstrip, decide whether to include the MATLAB Runtime installer in the generated application by selecting one of the options:

   • Runtime downloaded from web — Generate an installer that downloads the MATLAB Runtime and installs it along with the deployed MATLAB application. You can specify the file name of the installer.

   • Runtime included in package — Generate an application that includes the MATLAB Runtime installer. You can specify the file name of the installer.

     Note

     The first time you select this option, you are prompted to download the MATLAB Runtime installer.

4. In the Library Name field, rename the packaged shared library as libmatrix. The same name is followed through in the implementation of the shared library.

1. Click Package.

   In the Save Project dialog box, specify the location to save the project.

2. In the Package dialog box, verify that Open output folder when process completes is selected.

   When the packaging process is complete, examine the generated output in the target folder.

   • Three folders are generated: for_redistribution, for_redistribution_files_only, and for_testing.

     For more information about the files generated in these folders, see Files Generated After Packaging MATLAB Functions.

   • The log file PackagingLog.html contains packaging results.

As an alternative to the Library Compiler app, you can create a C shared library using a programmatic approach. If you have already created a library using the Library Compiler, see Implement C Shared Library in C Application.

• Build the C shared library using the compiler.build.cSharedLibrary function. Use name-value arguments to specify the library name and enable verbose output.

  buildResults = compiler.build.cSharedLibrary(["addmatrix.m", ...
  "eigmatrix.m","multiplymatrix.m"], ...
  'LibraryName','libmatrix', ...
  'Verbose','on');

  You can specify additional options in the compiler.build command by using name-value arguments. For details, see compiler.build.cSharedLibrary.

  The compiler.build.Results object buildResults contains information on the build type, generated files, included support packages, and build options.

  The function generates the following files within a folder named libmatrixcSharedLibrary in your current working directory:

  • GettingStarted.html — HTML file that contains information on integrating your shared library.

  • includedSupportPackages.txt — Text file that lists all support files included in the library.

  • libmatrix.c — C source code file.

  • libmatrix.def — Module-definition file that provides the linker with module information.

  • libmatrix.dll — Dynamic-link library file.

  • libmatrix.exports — Exports file that contains all nonstatic function names.

  • libmatrix.h — C header file.

  • libmatrix.lib — Import library file. The file extension is .dylib on Mac and .so on Linux.

  • mccExcludedFiles.log — Log file that contains a list of any toolbox functions that were not included in the application. For information on non-supported functions, see MATLAB Compiler Limitations.

  • readme.txt — Text file that contains packaging information.

  • requiredMCRProducts.txt — Text file that contains product IDs of products required by MATLAB Runtime to run the application.

  • unresolvedSymbols.txt — Text file that contains information on unresolved symbols.

  Note

  The generated library does not include MATLAB Runtime or an installer. To create an installer using the buildResults object, see compiler.package.installer.

1. Locate the matrix.c file located in matlabroot\extern\examples\compilersdk\c_cpp\matrix or your work folder.

    matrix.c

   /*=================================================================
    *
    * MATRIX.C Sample driver code that calls a shared library created
    *          using MATLAB Compiler SDK. Refer to the MATLAB Compiler 
    *          SDK documentation for more information.
    *
    * Copyright 1984-2022 The MathWorks, Inc.
    *
    *=================================================================*/
   
   #include <stdio.h>
   
   /* Include the MATLAB Runtime header file and the library specific header file 
    * as generated by MATLAB Compiler SDK. */
   #include "libmatrix.h"
   
   /* This function is used to display a double matrix stored in an mxArray */
   void display(const mxArray* in);
   
   int run_main(int argc, const char **argv)
   {
       mxArray *in1, *in2; /* Define input parameters */
       mxArray *out = NULL;/* and output parameters to be passed to the library functions */
       
       double data[] = {1,2,3,4,5,6,7,8,9};
       
       /* Create the input data */
       in1 = mxCreateDoubleMatrix(3,3,mxREAL);
       in2 = mxCreateDoubleMatrix(3,3,mxREAL);
       memcpy(mxGetPr(in1), data, 9*sizeof(double));
       memcpy(mxGetPr(in2), data, 9*sizeof(double));
       
       /* Call the library initialization routine and make sure that the
        * library was initialized properly. */
       if (!libmatrixInitialize()){
           fprintf(stderr,"Could not initialize the library.\n");
           return -2;
       }
       else
       {
           /* Call the library function */
           mlfAddmatrix(1, &out, in1, in2);
           /* Display the return value of the library function */
           printf("The sum of the matrix with itself is:\n");
           display(out);
           /* Destroy the return value since this variable will be reused in
            * the next function call. Since we are going to reuse the variable,
            * we must set it to NULL. Refer to MATLAB Compiler SDK documentation
            * for more information. */
           mxDestroyArray(out); 
           out=0;
           mlfMultiplymatrix(1, &out, in1, in2);
           printf("The product of the matrix with itself is:\n");
           display(out);
           mxDestroyArray(out); 
           out=0;
           mlfEigmatrix(1, &out, in1);
           printf("The eigenvalues of the original matrix are:\n");
           display(out);
           mxDestroyArray(out); 
           out=0;
           
           /* Call the library termination routine */
           libmatrixTerminate();
           
           /* Free the memory created */
           mxDestroyArray(in1); 
           in1=0;
           mxDestroyArray(in2); 
           in2=0;
       }
   
       /* Note that you should call mclTerminateApplication at the end of
        * your application.
        */
       mclTerminateApplication();
       return 0;
   }
   
   
   /*DISPLAY This function will display the double matrix stored in an mxArray.
    * This function assumes that the mxArray passed as input contains double
    * array.
    */
   void display(const mxArray* in)
   {
       size_t i=0, j=0; /* loop index variables */
       size_t r=0, c=0; /* variables to store the row and column length of the matrix */
       double *data; /* variable to point to the double data stored within the mxArray */
   
       /* Get the size of the matrix */
       r = mxGetM(in);
       c = mxGetN(in);
       /* Get a pointer to the double data in mxArray */
       data = mxGetPr(in);
       
       /* Loop through the data and display it in matrix format */
       for( i = 0; i < c; i++ )
       {
           for( j = 0; j < r; j++)
           {
               printf("%4.2f\t",data[j*c+i]);
           }
           printf("\n");
       }
       printf("\n");
   }
   
   int main(int argc, const char ** argv)
   {
       /* Call the mclInitializeApplication routine. Make sure that the application
        * was initialized properly by checking the return status. This initialization
        * has to be done before calling any MATLAB APIs or MATLAB Compiler SDK
        * generated shared library functions.  */
       if( !mclInitializeApplication(NULL,0) )
       {
           fprintf(stderr, "Could not initialize the application.\n");
           return -1;
       }
       return mclRunMain((mclMainFcnType)run_main, argc, argv);
   }
   
   

   Copy and paste this file into the folder that contains your C library file (libmatrix.lib on Windows, libmatrix.dylib on Mac, libmatrix.so on Linux). If you used the Library Compiler, this file is in the for_testing folder.

2. At the MATLAB command prompt, navigate to the folder where you copied matrix.c.

3. Use mbuild to compile and link the application.

   mbuild matrix.c libmatrix.<ext>

4. To run the application on Linux or Mac systems, you must first add MATLAB Runtime to the library path. For details, see Set MATLAB Runtime Path for Deployment.

5. From the system command prompt, run the application. On Windows, replace the forward slash with a backslash (\).

   ./matrix

   The sum of the matrix with itself is: 
   2.00		8.00		14.00	 
   4.00		10.00		16.00	 
   6.00		12.00		18.00	 
    
   The product of the matrix with itself is: 
   30.00		66.00		102.00	 
   36.00		81.00		126.00	 
   42.00		96.00		150.00		 
    
   The eigenvalues of the original matrix are: 
   16.12		-1.12		-0.00

   Note

   You may need to give the application executable permissions on Linux or Mac systems.

   chmod u+x matrix