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In general maple is more powerful on solving integral equations, differential equations and groebner basis, mathematica is more powerful for integration, recurrence relations, equation solving and simplification. 以前对Maple比较熟悉，用Mathematica也有一段时间了，觉得虽然Mathematica很不错，单论符号计算不如Maple… Maple可解决所有问题，五个问题少于20秒，其他三个也少于80秒。 而Mathematica求解三个少于2秒，二个接近一个小时，另外三个计算一个小时后终止，未得到答案。
Maple和Mathematica的数学引擎有相似的架构：用C 或C++编写内核，用Maple或Mathematica编程语言编写的大型预定义函数库 。 Maple大约95%的功能是用Maple编程语言开发，每个用户都可以察看这些预定义库的源代码，这对了解Maple内部机制很有用。 本视频演示了如何使用极值方法和蒙特卡洛方法对电路进行最坏情况分析。通过一个光电二极管电路示例，主讲人逐步展示了如何利用Maple Flow软件。 借助 Maple，您能以更生动的方式启发多元微积分与向量微积分课程的学生，从而更轻松地引领他们实现深度理解。 启发性可视化 概念通过视觉呈现更容易被理解。 使用 Maple，学生可以观察、操作和探索 2…
Maple 的强大之处在于：符号计算：Maple 可以进行符号计算，能够处理代数表达式、方程组、微积分、线性代数等复杂的数学运算，为数学研究和问题求解提供了强大的工具。
Maple 符号计算特别强大，很久以前Matlab的符号计算系统还是用的Maple内核。 不过国内Maple相对小众， Mathematica 使用人数相对较多，当然论普及度还是不如Matlab更popular。 从Maple和Mathematica的官网来看，两者都是把对方当竞品来看待的。 Mathcad感觉就是教学用用的，用于简单的数学问题，跟其他三个科学计算软件不是在一个数量级上。Matlab基于矩阵，传说是擅长数值运算，但跟Maple和Mathematica相比，在数值运算上并不见得会有多大的优势。Matlab最大的优势是庞大且丰富的工具箱，对于工程应用来说，Matlab都有各种现成的工具箱，方便. Matlab,Maple,Mathematica差别大不大？ 方程本身并不难求解，但是其过程设计到大量已知函数的偏导，导数等计算；手算老是出错，也用Matlab尝试过，想问下知乎大神符号计算比较常用的是哪款软件？
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