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.
The program together with this manual provides an introduction to and an overview of fundamental, sophisticated tools and numerical methods together with many simple examples.
This book, together with the accompanying software program 'Dynamics' helps the novice to begin immediately exploring dynamical systems with a broad array of interactive techniques.
The program together with this manual provides an introduction to and an overview of fundamental, sophisticated tools and numerical methods together with many simple examples.
Applications covered in this book include optimization, finance, statistical mechanics, birth and death processes, and gambling systems. Explorations in Monte Carlo Methods provides a hands-on approach to learning this subject.
This self-contained text provides an introduction to modern harmonic analysis in the context in which it is actually applied, in particular, through complex function theory and partial differential equations.
Dynamics: Numerical Explorations
This book/CD-ROM package uses the Mathematica programming language to demonstrate the use of computer simulation as a research tool in all of the sciences, providing materials for students and professionals...
Dynamics: Numerical Explorations
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Praise for the First Edition ". . . outstandingly appealing with regard to its style, contents, considerations of requirements of practice, choice of examples, and exercises." —Zentrablatt Math ". . . carefully structured with many ...