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Computational Mathematics, Computational Logic, and Symbolic Computation

机译:计算数学,计算逻辑和符号计算

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"Computational mathematics" (algorithmic mathematics) is the part of mathematics that strives at the solution of mathematical problems by algorithms. In a superficial view, some people might believe that computational mathematics is the easy part of mathematics in which trivial mathematics is made useful by repeating trivial steps sufficiently many times on current powerful machines in order to achieve marginally interesting results. The opposite is true: Many times, computational mathematics needs and stimulates deeper mathematics, i.e. deeper mathematical theorems with more difficult proofs than "pure" mathematics. This is so because, in order to establish an algorithmic method for a given mathematical problem, i.e. in order to reduce the solution of a given problem to the few operations that can be executed on machines, deeper insight on the given problem domain is necessary than the insight necessary for establishing the reduction of the given problem to powerful nonalgorithmic abstract mathematical operations as, for example, choice functions and the basic quantifiers of set theory.
机译:“计算数学”(算法数学)是数学的一部分,旨在通过算法解决数学问题的解决方案。在一个貌似的观点中,有些人可能相信计算数学是数学的容易部分,其中通过在当前强大的机器上重复多次多次重复琐碎的步骤,使得琐碎的数学是有用的,以实现略微有趣的结果。相反的是真的:多次,计算数学需求并刺激更深的数学,即更深的数学定理,比“纯粹”数学更困难。这是因为,为了建立给定的数学问题的算法方法,即为了减少给定问题的解决方案到可以在机器上执行的少数操作,对给定的问题域的更深入的洞察力是必要的建立给定问题的识别所需的洞察力为强大的非竞争抽象数学运算,例如选择功能和集合理论的基本量词。

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