Mathematica programming: an advanced introduction

时间:2021-08-16 03:58:54
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文件名称:Mathematica programming: an advanced introduction
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更新时间:2021-08-16 03:58:54
mathematica At the end of the day, there is nothing that can be done in Mathematica and absolutely can not be done in other programming environments. For many problems however, especially those involving symbolic programming, solving a problem in a language such as C or C++ will be eventually equivalent to reimplementing a subset of Mathematica (or other system for symbolic manipulations) needed to solve the problem. The point is that many things are done in Mathematica with less or a lot less effort and time, because a lot of both generic and specific functionality is already built in Mathematica. And because it is so general, I expect this statement to be true for almost any field where some computations, prototype or program design and development, simulations etc are used. Mathematica seems to be an ideal tool for development of toy - models, prototypes, or just ideas. While Mathematica may be also quite useful for validating some ideas or solutions, as well as to power some quite complex technologies also in their final form, my feeling is that it may be most useful as a tool of experimental research (or programming), where the answer (or design) is not known in advance.

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