Titlebook: Numerical Python; Scientific Computing Robert Johansson Book 20192nd edition Robert Johansson 2019 Python.numerical.NumPy.SciPy.computation

centipede

書目名稱Numerical Python影響因子(影響力)




書目名稱Numerical Python影響因子(影響力)學(xué)科排名




書目名稱Numerical Python網(wǎng)絡(luò)公開度




書目名稱Numerical Python網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Numerical Python被引頻次




書目名稱Numerical Python被引頻次學(xué)科排名




書目名稱Numerical Python年度引用




書目名稱Numerical Python年度引用學(xué)科排名




書目名稱Numerical Python讀者反饋




書目名稱Numerical Python讀者反饋學(xué)科排名

IDEAS

GIDDY

NAVEN

噴出

Robert Johansson 2019

Repetitions

平

SHRIK

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.

軌道

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

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).