Introduction to Scilab
Introduction to Scilab
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Scilab简介
DOI：
10.1007/978-1-4842-3192-0
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Sandeep Nagar
中科院分区：
文献类型：
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作者：
Sandeep Nagar
数值计算是数学的一个领域，其中问题在计算设备上被解决。为此目的，存在各种软件工具。事实上，MATLAB，Mathematica，Octave和Scilab都是专门用于此目的的软件。开发人员也可以使用通用编程语言，如C、C++、Python和Julia来定义数学问题，但专用软件提供了预定义的库，这些库已经针对稳定性或速度进行了优化，或者在相同的情况下，针对两者进行了优化。它们也可以在选定硬件平台的目标硬件上生成。因此，使用专门的软件是一个很好的方式来学习数值食谱的物理问题在一个简单的方式。但是，主要的问题是，为什么我们要去一个数值解。
Numerical computing is a field of mathematics where problems are made to be solved on a computing device. A variety of software tools exists for this purpose. In fact, MATLAB, Mathematica, Octave, and Scilab are specialized softwares for this purpose. A developer can also use general-purpose programming languages such as C, C++, Python, and Julia to define mathematical problems, but specialized softwares present predefined libraries that have been either optimized for stability or speed or, in same cases, for both. They can also be produced on targeted hardware for a chosen hardware platform. Thus, using specialized software is a good way to learn the numerical recipes for physical problems in an easy fashion. But, the primary question is why we should go for a numerical solution at all.