用Matlab 的C++ Math Library解决工程问题

MATLAB与Java混合编程实战:打通科学计算与Java生态的桥梁 在科学计算与工程开发领域,跨语言集成是提升开发效率、扩展软件能力的关键技术。其核心原理在于通过虚拟机或接口层实现不同编程语言间的互操作,允许开发者复用成熟的代码库和工具链。这种技术价值显著,能够将特定语言的专业优势(如MATLAB的矩阵运算与可视化)与另一种语言的丰富生态(如Java的海量开源库)相结合,避免重复造轮子。在实际应用场景中,工程师常需在数据分析平台中调用第三方Java库处理特定格式文件,或在算法开发中集成Java实现的网络通信模块。本文聚焦于MATLAB与Java的混合编程,深入解析数据类型映 阅读详情
 

Introduction

In the previous article, we studied how can use MATLAB C API to solve engineering problems. In this article I will show you how can use MATLAB C++ math library. The MATLAB� C++ Math Library serves two separate constituencies: MATLAB programmers seeking more speed or complete independence from interpreted MATLAB, and C++ programmers who need a fast, easy-to-use matrix math library. To each, it offers distinct advantages.

MATrix LABoratory

MATLAB is abbreviation of Matrix Laboratory. This means every computation was performed in matrix form. In other hand every data type wrapped in matrix form and every function take these matrix as an input argument.

For example you want to multiply to polynomial as follow:

A = (3x2 + 5x + 7) (4x5 + 3x3 - x2 + 1)

You can use two matrices for coefficients of any polynomials:

[3 5 7] for (3x2 + 5x + 7) and[4 0 3 -1 0 1] for (4x5 + 3x3 - x2 + 1), using conv function, we can obtain coefficients of result:

conv([3 5 7], [4 0 3 -1 0 1]): A = [12 20 37 12 16 -4 5 7]

means:

A = 12x7 + 20x6 + 37x5 + 12x4 + 16x3 - 4x2 + 5x + 7

C++ Math Library

The MATLAB C++ Math Library consists of approximately 400 MATLAB math functions. It includes the built-in MATLAB math functions and many of the math functions that are implemented as MATLAB M-files. The MATLAB C++ Math Library is layered on top of the MATLAB C Math Library. The major value added by this C++ layer is ease of use.

The MATLAB C++ Math Library is firmly rooted in the traditions of the MATLAB runtime environment. Programming with the MATLAB C++ Math Library is very much like writing M-files in MATLAB. While the C++ language imposes several differences, the syntax used by the MATLAB C++ Math Library is very similar to the syntax of the MATLAB language. Like MATLAB, the MATLAB C++ Math Library provides automatic memory management, which protects the programmer from memory leaks.

Every matrices represented by mwArray class, a data type introduced byMATLAB for constructing a matrix. As I said before, every data must be wrapped in a matrix form in other hand:mwArray.

One C++ prototype supports all the possible ways to call a particular MATLAB C++ Math Library function. You can reconstruct the C++ prototype by examining theMATLAB syntax for a function. In the following procedure, theMATLAB function svd() is used to illustrate the process.

MATLAB Syntax

s = svd (X)
[U, S, V] = svd (X)
[U, S, V] = svd (X, 0)

In this example, the prototype that corresponds to [U, S, V] = svd (X, 0) is constructed step-by-step. Until the last step, the prototype is incomplete.

Adding the Output Arguments

  1. Subtract out the first output argument, U, to be the return value from the function. The data type for the return value ismwArray.

    mwArray svd(
  2. Add the remaining number of output arguments, S and V, to the prototype as the first, second, etc., arguments to the function. The data type for an output argument ismwArray*.

    mwArray svd (mwArray* S, mwArray* V,

Adding the Input Arguments

  1. Add the number of input arguments to the prototype, X and Zero, one after another following the output arguments. The data type for an input argument ismwArray.

    mwArray svd (mwArray* S, mwArray* V, const mwArray& X, 
                 const mwArray& Zero);

The prototype is complete.

How to Translate a MATLAB Call into a C++ Call

This procedure translates the MATLAB call [U, S, V] = svd (X, 0) into a C++ call. The procedure applies to library functions in general. Note that within a call to a MATLAB C++ Math Library function, an output argument is preceded by &; an input argument is not.

  1. Declare input, output, and return variables as mwArray variables, and assign values to the input variables.

  2. Make the first MATLAB output argument the return value from the function.
    U = svd (
  3. Pass any other output arguments as the first arguments to the function.
    U = svd (&S, &V,
  4. Pass the input arguments to the C++ function, following the output arguments.
    U = svd (&S, &V, X, 0);

The translation is complete.

Note that if you see [] as a MATLAB input argument, you should pass mwArray() as the C++ argument. For example,

B = cplxpair (A, [], dim)

becomes

B = cplxpair (A, mwArray(), dim);

mwArray class

The mwArray class public interface is relatively small, consisting of constructors and destructor, overloaded new and delete operators, one user-defined conversion, four indexing operators, the assignment operator, input and output operators, and array size query routines. The mwArray�s public interface does not contain any mathematical operators or functions.

Constructors

The mwArray interface provides many useful constructors. You can construct amwArray object from the following types of data: a numerical scalar, an array of scalars, a string, anmxArray*, or another mwArray object.

mwArray()

Create an uninitialized array. An uninitialized array produces warnings when passed to MATLAB C++ Math Library functions. If an array is created using this default constructor, a value must be assigned to it before passing it to a MATLAB C++ Math Library function.

To create an empty double matrix that corresponds to [] in MATLAB, use the
function empty().

mwArray (const char *str)

Create an array from a string. The constructor copies the string.

mwArray(int32 rows, int32 cols, double *real, double *imag = NULL)

Create a mwArray from either one or two arrays of double-precision floating-point numbers. If two arrays are specified, the constructor creates a complex array; both input arrays must be the same size. The data in the input arrays must be in column-major order, the reverse of C++�s usual row-major order. This constructor copies the input arrays.

Note that the last argument, imag, is assigned a value of NULL in the constructor.imag is an optional argument. When you call this constructor, you do not need to specify the optional argument.

mwArray (const mwArray& mtrx)

Copy a mwArray. This constructor is the familiar C++ copy constructor, which copies the input array. For efficiency, this routine does not actually copy the data until the data is modified. The data is referenced through a pointer until a modification occurs.

mwArray (const mxArray* mtrx)

Make a mwArray from an mxArray*, such as might be returned by any of the routines in the MATLAB C Math Library or the Application Program Interface Library. This routine does not copy its input array, yet the destructor frees it; therefore the input array must be allocated on the heap. In most cases, for example, with matrices returned from the Application Program Interface Library, this is the desired behavior.

mwArray (double start, double step, double stop)

Create a ramp. This constructor operates just like the MATLAB colon (:) operator. For example, the callmwArray(1, 0.5,3) creates the vector [ 1, 1.5, 2, 2.5, 3 ].

mwArray (int32 start, int32 step, int32 stop)

Create an integer ramp.

mwArray (const mwSubArray & a)

Create an mwArray from an mwSubArray. When an indexing operation is applied to an array, the result is not another array, but anmwSubArray object. An mwSubArray object remembers the indexing operation. Evaluation of the operation is deferred until the result is assigned or used in another expression. This constructor evaluates the indexing operation encoded by the mwSubArray object and creates the appropriate array.

mwArray (double)

Create a 1-by-1 mwArray from a double-precision floating-point number.

mwArray (int)

Create an mwArray from an integer.

Table 1 shows mwArray constructors in brief.

ConstructorCreatesExample

mwArray()

Uninitialized array

mwArray A;

mwArray (const char *)

String array

mwArray A ("MATLAB Rules");

mwArray (int32, int32, double*, double*)

Complex array

double real[] = { 1, 2, 3, 4 };
double imag[] = { 5,6, 7, 8 };
mwArray A(2,2,real,imag);

mwArray (const mwArray&)

Copy of input array

mwArray A = rand(4);
mwArray B (A);

mwArray (const mxArray*)

Copy of mxArray*

mxArray *m = mlfScalar(1);
mwArray mat (m);

mwArray (double, double, double)

Ramp

mwArray A(1.2,0.1, 3.5);

mwArray (int32, int32, int32)

Integer ramp

mwArray A(1, 2,9);

mwArray (const mwSubArray&)

Array from subarray (used in indexing)

mwArray A = rand(4);
mwArray B(A(3,3));

mwArray (double)

Scalar double array

mwArray A(17.5);

mwArray (int)

Scalar integer array

mwArray A(51);


Mathematical Functions

Below is a list of useful mathematical functions of MATLAB C++ math library:


plus, minusmtimes, mpoweracos, asinconv
conjdec2bin, dec2hexdispfft, fft2
linspacemax, minrootsrot90

Using C++ Math Library

To add support of MATLAB C++ Math Library follow these instructions:\

  1. Add following line at the end of stdafx.h

    #include <matlab.hpp>

    matlab.hpp is interface of MATLAB C++ math library. Add directory ofMATLAB interface files (*.hpp) to Visual Studio (Tools -> Options -> Directories). For example:x:\matlab\extern\include\cpp, where x is drive letter of matlab path.

  2. Add desired libraries to your project (In this example, libmatpm.lib)

  3. Compile your project!

Sample Program

Known Problems

  • Compiler reports error when compiling matlab.hpp:
    c:\matlab\extern\include\cpp\matmtxif.h (16):
    fatal error C1083: Cannot open include file strstream.h.
    No such file or directory.

    Solution:

    This error is due to missing preprocessor definitions in the MSVC environments. In order to alleviate this problem, the following definitions must be added to the project file for the application:

    • MSVC
    • MSWIND
    • IBMPC
    • D__STDC_

    Add these preprocessors to your project: Project->Settings->C/C++->Preprocessor definitions.

  • Linker reports error when linking MATLAB library files:
    LINK : warning LNK4098: defaultlib "MSVCRT" conflicts with use of other libs;
        use /NODEFUALTLIB:library
    .\ex1.exe : fatal error LNK1169: one or more multiply defined symbols found
    Error executing link.exe

    Solution:

    To resolve this problem change project settings to build a Multithread Dll in the Runtime Library. Do this by following these instructions:

    • Selecting Project from the main menu
    • Selecting Settings
    • Clicking on C/C++ tab
    • Selecting Code Generation in the Category pulldown menu
    • In the Runtime Library field selecting Multithread Dll ("Debug Multithread Dll" willnot work)
    • Click OK
    • Rebuild your project

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