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Introduction to Scientific Computing and Data Analysis / / by Mark H. Holmes



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Autore: Holmes Mark H Visualizza persona
Titolo: Introduction to Scientific Computing and Data Analysis / / by Mark H. Holmes Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Edizione: 2nd ed. 2023.
Descrizione fisica: 1 online resource (563 pages)
Disciplina: 502.85
Soggetto topico: Mathematics—Data processing
Mathematical optimization
Mathematical analysis
Computational Science and Engineering
Optimization
Analysis
Ciència
Processament de dades
Investigació quantitativa
Soggetto genere / forma: Llibres electrònics
Nota di contenuto: 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.
Sommario/riassunto: 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.
Titolo autorizzato: Introduction to scientific computing and data analysis  Visualizza cluster
ISBN: 3-031-22430-2
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910734870703321
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Serie: Texts in Computational Science and Engineering, . 2197-179X ; ; 13