Explorations In Numerical Analysis: Python Edition
by James V Lambers (Author), Amber C Sumner Mooney (Author), Vivian Ashley Montiforte (Author)
Get this book Contact Email: girro@qq.com
Publisher : WSPC (January 18, 2021)
Language : English
Paperback : 690 pages
ISBN-10 : 9811229341
ISBN-13 : 9789811229343
Book Description
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.
Explorations In Numerical Analysis: Python Edition
相关推荐
Computational Intelligence based Hyperspectral Image Processing: Volume 1
Games on Graphs: From Logic and Automata to Algorithms
Social Citizenship and Workfare in the United States and Western Europe: The Paradox of Inclusion
Ireland in the Medieval World, AD 400-1000: Landscape, Kingship and Religion
Google Bard AI: Der ultimative Google Bard AI Leitfaden
Introduction to Modern Cryptography: Revised Third Edition
The Oxford Handbook of Nineteenth-Century Women Philosophers in the German Tradition
Artificial Intelligence in Neuroscience
电子书百科大全