三种CSharp调用Matlab方式的研究

常用的程序设计语言在统计方面存在不足，Matlab可以弥补这方面的不足，但Matlab在界面设计、运行效率上无法令人满意．在实际的项目开发中，特别当项目的主要功能是统计分析、模拟仿真时，一方面要有友好的用户界面，另一方面又要进行统计分析、模拟仿真，因而要将Matlab与程序设计语言进行集成开发．CSharp是流行的程序设计语言，研究了CSharp与Matlab集成的三种方式：CSharp直接访问Matlab内置函数、构建．NET程序集和创建C语言共享库，通过比较可知：创建C语言共享库运行效率最高，但是稳定性不好；直接访问Matlab内置函数运行稳定，但是效率最低；构建．NET程序集方式运行稳定，并且效率较高．综合考虑，在实际应用中，采用构建．NET程序集的方式来集成CSham和Matlab应优先考虑．

Comparative Research of Integrating C Sharp with Matlab

General programming languages are lack of statistics function,but Matlab can remedy this shortage.The shortages of Matlab are interface design and running efficiency.In real projects developing,especially when their functions are statistics,analyze and emulate.On the one hand,a friendly interface is needed;on the other hand,statistics and emulate are needed.In this situation,integrating C Sharp with Matlab is a good choice.C Sharp is a very popular programming language.Three ways of integrating C Sharp with Matlab have been studying: C Sharp directly access Matlab built-in functions,constructing.net assemblies and create C language shared library.The comparison shows that create C language shared library running efficiency is the highest,but stability is bad;Directly access Matlab built-in function is stable,but efficiency minimum;Building.net assemblies is stable operation,and high efficiency.Comprehensive consideration,in real application,the way of building.net assemblies to integrate C Sharp and Matlab should be first consideration.