Explorations In Numerical Analysis: Python Edition
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€167.40
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A01=Amber C Sumner
A01=James V Lambers
A01=Vivian Ashley Montiforte
Age Group_Uncategorized
Age Group_Uncategorized
Algorithms
Author_Amber C Sumner
Author_James V Lambers
Author_Vivian Ashley Montiforte
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Category1=Non-Fiction
Category=PBKS
Computational Science
COP=Singapore
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Differential Equations
Differentiation
Eigenvalues
eq_isMigrated=2
eq_nobargain
Error Analysis
Floating-Point Arithmetic
Fourier Series
Fourier Transform
Integration
Language_English
Least Squares
Linear Algebra
Linear Systems
Matrix Theory
Nonlinear Equations
Numerical Analysis
Optimization
PA=Available
Polynomial Approximation
Polynomial Interpolation
Price_€100 and above
PS=Active
Python
Rational Approximation
Scientific Computing
softlaunch
Product details
- ISBN 9789811227936
- Publication Date: 25 Jan 2021
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
- Language: English
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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.
James V Lambers is a Professor in the School of Mathematics and Natural Sciences at The University of Southern Mississippi, and an ACUE Distinguished Teaching Scholar. His research interests span numerical methods for partial differential equations and numerical linear algebra.
Amber C Sumner is an Assistant Professor of Mathematics at William Carey University. She was a PhD student of Lambers at USM. Her research interests include deep learning and numerical linear algebra.
Vivian A Montiforte is a PhD student of Lambers at USM. Her research pertains to spectral methods and meshless methods for partial differential equations.
