Release 11 New Features      

MATLAB C/C++ Math Library 2.0

MATLAB C Math Library 2.0

Summary of New Features

The MATLAB C Math Library 2.0 supports these new features:

Over 60 New Functions

New functions in the library support multidimensional arrays, cell arrays, MATLAB structures, and sparse arrays.

Automated Memory Management for Temporary Arrays

The functions mlfAssign(), mlfEnterNewContext(), mlfRestorePreviousContext(), and mlfReturnValue() provide automated memory management for temporary arrays. Using these functions, you can embed calls to library functions as function arguments. You don't need to declare mxArray* variables to store temporary values, or explicitly delete those temporary arrays.

Data Types

Multidimensional Arrays.    Multidimensional arrays in MATLAB can have more than two dimensions. You access a two-dimensional matrix element with two indices: a row index and a column index. In a multidimensional array, use additional subscripts for indexing. For example, a three-dimensional array has three indices and a four-dimensional array has four.

Cell Arrays.    Cell arrays are a special class of MATLAB arrays where elements, or cells, contain MATLAB arrays. Cell arrays allow you to store dissimilar classes of arrays in the same array. Cell arrays can be multidimensional.

MATLAB Structures.    MATLAB structures are a class of MATLAB arrays that can store dissimilar arrays together. MATLAB structures differ from cell arrays in that you reference them by named fields. Structure arrays can be multidimensional.

Sparse Matrices.    Sparse arrays are two-dimensional matrices that contain a significant number of zero-valued elements. An efficient matrix storage format stores only the nonzero values.

New Indexing Functions

Three new indexing functions handle indexing for n-dimensional arrays, including cell arrays, structure arrays, and sparse arrays:

Calls to the Version 1.2 indexing functions, mlfArrayRef(), mlfArrayAssign(), and mlfArrayDelete(), are still valid. However, you must use the new indexing functions to access support for multidimensional indexing, cell array indexing, structure indexing, and sparse indexing.

Variable Input and Output Argument Lists

MATLAB varargin functions accept any number of input arguments. The library supports varargin functions through standard ANSI C variable-length argument lists.

MATLAB varargout functions return any number of output arguments. The library supports varargout functions through the functions mlfVarargout() and mlfIndexVarargout().

try and catch Blocks

The library's mlfTry and mlfCatch macros let you handle errors with try and catch blocks.

Improved mbuild Script

The mbuild script automatically detects the location of your C/C++ compiler and determines whether you are compiling C or C++ code. You no longer need to use the -setup option to configure mbuild; however, it is available if you need to change compilers or customize the options that mbuild uses.

mbuild now creates DLLs in addition to executables.

MATLAB C++ Math Library 2.0

Summary of New Features

The MATLAB C++ Math Library 2.0 supports these new features:

Over 60 New Functions

New functions in the library support multidimensional arrays, cell arrays, MATLAB structures, and sparse arrays.

Data Types

Multidimensional Arrays.    Multidimensional arrays in MATLAB can have more than two dimensions. You access a two-dimensional matrix element with two indices: a row index and a column index. In a multidimensional array, use additional subscripts for indexing. For example, a three-dimensional array has three indices and a four-dimensional array has four.

Cell Arrays.    Cell arrays are a special class of MATLAB arrays where elements, or cells, contain MATLAB arrays. Cell arrays allow you to store dissimilar classes of arrays in the same array. Cell arrays can be multidimensional.

MATLAB Structures.    MATLAB structures are a class of MATLAB arrays that can store dissimilar arrays together. MATLAB structures differ from cell arrays in that you reference them by named fields. Structure arrays can be multidimensional.

Sparse Matrices.    Sparse arrays are two-dimensional matrices that contain a significant number of zero-valued elements. An efficient matrix storage format stores only the nonzero values.

New Indexing Functions

The mwArray member function cell() implements indexing into cell arrays.

The mwArray member function field() implements indexing into structure arrays.

Variable Input and Output Argument Lists

MATLAB varargin functions accept any number of input arguments. The library supports varargin functions through the mwVarargin class.

MATLAB varargout functions return any number of output arguments. The library supports varargout functions through the mwVarargout class.

Improved mbuild Script

The mbuild script automatically detects the location of your C/C++ compiler and determines whether you are compiling C or C++ code. You no longer need to use the -setup option to configure mbuild; however, it is available if you need to change compilers or customize the options that mbuild uses.


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