Introduction to Numerical Analysis
Edition: 2nd 1989 (Revised)
List price: $221.95
Buy it from $24.23
This item qualifies for FREE shipping
*A minimum purchase of $35 is required. Shipping is provided via FedEx SmartPost® and FedEx Express Saver®. Average delivery time is 1 – 5 business days, but is not guaranteed in that timeframe. Also allow 1 - 2 days for processing. Free shipping is eligible only in the continental United States and excludes Hawaii, Alaska and Puerto Rico. FedEx service marks used by permission."Marketplace" orders are not eligible for free or discounted shipping.
30 day, 100% satisfaction guarantee
If an item you ordered from TextbookRush does not meet your expectations due to an error on our part, simply fill out a return request and then return it by mail within 30 days of ordering it for a full refund of item cost.
Learn more about our returns policy
Description: This Second Edition of a standard numerical analysis text retains organization of the original edition, but all sections have been revised, some extensively, and bibliographies have been updated. New topics covered include optimization, trigonometric interpolation and the fast Fourier transform, numerical differentiation, the method of lines, boundary value problems, the conjugate gradient method, and the least squares solutions of systems of linear equations. Contains many problems, some with solutions.
Rush Rewards U
You have reached 400 XP and carrot coins. That is the daily max!
Limited time offer:
Get the first one free!
All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.
List price: $221.95
Copyright year: 1989
Publisher: John Wiley & Sons, Incorporated
Publication date: 1/17/1989
Size: 6.50" wide x 9.75" long x 1.50" tall
|Error: Its Sources, Propagation, and Analysis|
|Rootfinding for Nonlinear Equations|
|Approximation of Functions|
|Numerical Methods for Ordinary Differential Equations|
|Numerical Solution of Systems of Linear Equations|
|The Matrix Eigenvalue Problem|
|Answers to Selected Problems|