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[ author_sort:"stewart, david." ]
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Numerical analysisa graduate course /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Numerical analysisby David E. Stewart.
其他題名:
a graduate course /
作者:
Stewart, David.
出版者:
Cham :Springer International Publishing :2022.
面頁冊數:
xv, 632 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Numerical analysis.
電子資源:
https://doi.org/10.1007/978-3-031-08121-7
ISBN:
9783031081217$q(electronic bk.)
Numerical analysisa graduate course /
Stewart, David.
Numerical analysis
a graduate course /[electronic resource] :by David E. Stewart. - Cham :Springer International Publishing :2022. - xv, 632 p. :ill., digital ;24 cm. - CMS/CAIMS books in mathematics,v. 42730-6518 ;. - CMS/CAIMS books in mathematics ;v. 3..
Basics of mathematical computation -- Computing with Matrices and Vectors -- Solving nonlinear equations -- Approximations and interpolation -- Integration and differentiation -- Differential equations -- Randomness -- Optimization -- Appendix A: What you need from analysis.
This book aims to introduce graduate students to the many applications of numerical computation, explaining in detail both how and why the included methods work in practice. The text addresses numerical analysis as a middle ground between practice and theory, addressing both the abstract mathematical analysis and applied computation and programming models instrumental to the field. While the text uses pseudocode, Matlab and Julia codes are available online for students to use, and to demonstrate implementation techniques. The textbook also emphasizes multivariate problems alongside single-variable problems and deals with topics in randomness, including stochastic differential equations and randomized algorithms, and topics in optimization and approximation relevant to machine learning. Ultimately, it seeks to clarify issues in numerical analysis in the context of applications, and presenting accessible methods to students in mathematics and data science.
ISBN: 9783031081217$q(electronic bk.)
Standard No.: 10.1007/978-3-031-08121-7doiSubjects--Topical Terms:
182073
Numerical analysis.
LC Class. No.: QA297
Dewey Class. No.: 518
Numerical analysisa graduate course /
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