Dewey Class |
003.3 |
Title |
Introduction to Scientific Computing and Data Analysis (EBook /) / by Mark H. Holmes. |
Author |
Holmes, Mark H. |
Other name(s) |
SpringerLink (Online service) |
Edition statement |
2nd ed. 2023. |
Publication |
Cham : : Springer International Publishing : : Imprint: Springer, , 2023. |
Physical Details |
XVI, 554 p. 201 illus., 178 illus. in color. : online resource. |
Series |
Texts in computational science and engineering 2197-179X ; ; 13 |
ISBN |
9783031224300 |
Summary Note |
This textbook provides an introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression-based methods using a singular value decomposition. The emphasis is on problem solving, and there are numerous exercises throughout the text concerning applications in engineering and science. The essential role of the mathematical theory underlying the methods is also considered, both for understanding how the method works, as well as how the error in the computation depends on the method being used. The codes used for most of the computational examples in the text are available on GitHub. This new edition includes material necessary for an upper division course in computational linear algebra.: |
Contents note |
Preface -- Preface to Second Edition -- Introduction to Scientific Computing -- Solving a Nonlinear Equation -- Matrix Equations -- Eigenvalue Problems -- Interpolation -- Numerical Integration -- Initial Value Problems -- Optimization: Regression -- Optimization: Descent Methods -- Data Analysis -- Taylor's Theorem -- Vector and Matrix Summary -- Answers -- References -- Index. |
Mode of acces to digital resource |
Digital reproduction.- |
Cham : |
Springer International Publishing, |
2023. - |
Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format. |
System details note |
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users). |
Internet Site |
https://doi.org/10.1007/978-3-031-22430-0 |
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