Explorations in Numerical Analysis : Python Edition / James V Lambers, ; Amber C Sumner ; Vivian Ashley Montiforte.
Material type: TextLanguage: English Publication details: Chennai: World Scientific, 2021.Edition: 1st edDescription: xv, 673 p. : ill. ; 24 cmISBN:- 9780000990440
- 0000990442
- 23 518.0285536 LAM
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518.028 NAV Lab Primer Through MATLAB: | 518.028 NAV Lab Primer Through MATLAB: | 518.028 NAV Lab Primer Through MATLAB: | 518.0285536 LAM Explorations in Numerical Analysis : Python Edition / | 518.1 BAS Design methods and analysis of algorithms | 518.1 BAS Design methods and analysis of algorithms | 518.1 BAS Design methods and analysis of algorithms |
What is numerical analysis?
Understanding error
Direct methods for linear systems
Least squares problems
Iterative methods for linear systems
Eigenvalue problems
Polynomial interpolation
Approximation of functions
Dierentiation and integration
Zeros of nonlinear functions
Optimization
Initial value problems
Two-point boundary value problems
Partial dierential equations
This textbook introduces 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 error analysis, computer arithmetic, solution of systems of linear equations, least squares problems, eigenvalue problems, polynomial interpolation and approximation, numerical differentiation and integration, nonlinear equations and ordinary 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 MATLAB 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"-- Provided by publisher
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