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Record Nr. |
UNINA9910734870703321 |
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Autore |
Holmes Mark H |
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Titolo |
Introduction to Scientific Computing and Data Analysis / / by Mark H. Holmes |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[2nd ed. 2023.] |
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Descrizione fisica |
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1 online resource (563 pages) |
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Collana |
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Texts in Computational Science and Engineering, , 2197-179X ; ; 13 |
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Disciplina |
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Soggetti |
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Mathematics—Data processing |
Mathematical optimization |
Mathematical analysis |
Computational Science and Engineering |
Optimization |
Analysis |
Ciència |
Processament de dades |
Investigació quantitativa |
Llibres electrònics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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