Numerical Computing with MATLAB

Moler, Cleve B.

ISBN 10: 0898715601 / ISBN 13: 9780898715606

Edité par Society for Industrial and Applied Mathematics, 2004

A propos de cet article

This item is in overall acceptable condition. Covers and dust jackets are intact but may have heavy wear including creases, bends, edge wear, curled corners or minor tears as well as stickers or sticker-residue. Pages are intact but may have minor curls, bends or moderate to considerable highlighting/ writing. Binding is intact; however, spine may have heavy wear. Digital codes may not be included and have not been tested to be redeemable and/or active. A well-read copy overall. Please note that all items are donated goods and are in used condition. Orders shipped Monday through Friday! Your purchase helps put people to work and learn life skills to reach their full potential. Orders shipped Monday through Friday. Your purchase helps put people to work and learn life skills to reach their full potential. Thank you! N° de réf. du vendeur 466QI0000G98

Détails bibliographiques

Titre : Numerical Computing with MATLAB

Éditeur : Society for Industrial and Applied Mathematics

Date d'édition : 2004

Reliure : Couverture souple

Etat : Acceptable

A propos de ce titre

Synopsis :

This is a lively textbook for an introductory course in numerical methods, MATLAB, and technical computing, with an emphasis on the informed use of mathematical software. The presentation helps readers learn enough about the mathematical functions in MATLAB to use them correctly, appreciate their limitations, and modify them appropriately. The book makes extensive use of computer graphics, including interactive graphical expositions of numerical algorithms. It provides more than 70 M-files, which can be downloaded from the text Web site www.mathworks.com/moler. Many of the numerous exercises involve modifying and extending these programs. The topics covered include an introduction to MATLAB; linear equations; interpolation; zeros and roots; least squares; quadrature; ordinary differential equations; Fourier analysis; random numbers; eigenvalues and singular values; and partial differential equations. Motivating applications include modern problems from cryptography, touch-tone dialing, Google page-ranking, atmospheric science and image processing, as well as classical problems from physics and engineering.