Explorations in numerical analysis: python edition
Material type: TextPublication details: Singapore World scientific 2021Description: xv, 674 pISBN: 9780000990440Subject(s): Numerical analysis | Numerical analysis | Python (Computer program language)DDC classification: 518.02855133 Summary: "This textbook is intended to introduce advanced undergraduate and early-career graduate students to the field of numerical analysis. This field pertains to the design, analysis, and implementation of algorithms for the approximate solution of mathematical problems that arise in applications spanning science and engineering, and are not practical to solve using analytical techniques such as those taught in courses in calculus, linear algebra or differential equations. Topics covered include computer arithmetic, error analysis, solution of systems of linear equations, least squares problems, eigenvalue problems, nonlinear equations, optimization, polynomial interpolation and approximation, numerical differentiation and integration, ordinary differential equations, and partial differential equations. For each problem considered, the presentation includes the derivation of solution techniques, analysis of their efficiency, accuracy and robustness, and details of their implementation, illustrated through the Python programming language. This text is suitable for a year-long sequence in numerical analysis, and can also be used for a one-semester course in numerical linear algebra"--Item type | Current library | Collection | Call number | Status | Date due | Barcode |
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BK | Stack | Stack | 518.02855133 LAM/E (Browse shelf (Opens below)) | Available | 59516 |
Browsing Kannur University Central Library shelves, Shelving location: Stack, Collection: Stack Close shelf browser (Hides shelf browser)
518 THA/C computer -oriented numerical methods | 518 YAN/I Introduction to computational mathematics | 518.028 5 TUR/G Guide to scientific computing | 518.02855133 LAM/E Explorations in numerical analysis: python edition | 518.1 DOB/M Methods in algorithmic analysis / | 518.2 HUN/G Guide to MATLAB : for beginners and experienced users | 518.2 HUN/G Guide to MATLAB : for beginners and experienced users |
"This textbook is intended to introduce advanced undergraduate and early-career graduate students to the field of numerical analysis. This field pertains to the design, analysis, and implementation of algorithms for the approximate solution of mathematical problems that arise in applications spanning science and engineering, and are not practical to solve using analytical techniques such as those taught in courses in calculus, linear algebra or differential equations. Topics covered include computer arithmetic, error analysis, solution of systems of linear equations, least squares problems, eigenvalue problems, nonlinear equations, optimization, polynomial interpolation and approximation, numerical differentiation and integration, ordinary differential equations, and partial differential equations. For each problem considered, the presentation includes the derivation of solution techniques, analysis of their efficiency, accuracy and robustness, and details of their implementation, illustrated through the Python programming language. This text is suitable for a year-long sequence in numerical analysis, and can also be used for a one-semester course in numerical linear algebra"--
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