centipede 发表于 2025-3-21 18:34:07

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IDEAS 发表于 2025-3-21 21:48:44

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GIDDY 发表于 2025-3-22 03:04:17

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NAVEN 发表于 2025-3-22 05:58:08

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喷出 发表于 2025-3-22 10:10:44

Robert Johansson 2019

Repetitions 发表于 2025-3-22 14:47:37

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发表于 2025-3-22 17:44:38

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SHRIK 发表于 2025-3-22 22:09:15

Optimization,um or maximum of the function, depending on the application and the specific problem. In this chapter we are concerned with the optimization of real-valued functions of one or several variables, which optionally can be subject to a set of constraints that restricts the domain of the function.

轨道 发表于 2025-3-23 01:22:47

Interpolation,a points. Another use-case is to approximate complicated functions, which, for example, could be computationally demanding to evaluate. In that case, it can be beneficial to evaluate the original function only at a limited number of points and use interpolation to approximate the function when evaluating it for intermediary points.

2否定 发表于 2025-3-23 05:39:31

Sparse Matrices and Graphs,ons are matrices where most of the elements are zeros. Such matrices are known as ., and they occur in many applications, for example, in connection networks (such as circuits) and in large algebraic equation systems that arise, for example, when solving partial differential equations (see Chapter . for examples).
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查看完整版本: Titlebook: Numerical Python; Scientific Computing Robert Johansson Book 20192nd edition Robert Johansson 2019 Python.numerical.NumPy.SciPy.computation