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Numerical Methods Using Matlab 4E by Kurtis, John Mathews INTERNATIONAL EDITION

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
Series
INTERNATIONAL EDITION PAPERBACK
Educational Level
Adult & Further Education
Level
Technical, Intermediate
ISBN
9780130652485
Category

About this product

Product Identifiers

Publisher
Pearson Education
ISBN-10
0130652482
ISBN-13
9780130652485
eBay Product ID (ePID)
2407558

Product Key Features

Number of Pages
696 Pages
Language
English
Publication Name
Numerical Methods Using Matlab
Subject
Mathematical & Statistical Software, Numerical Analysis, Computer Science
Publication Year
2003
Features
Revised
Type
Textbook
Author
Kurtis Fink, John Mathews
Subject Area
Mathematics, Computers
Format
Trade Paperback

Dimensions

Item Height
1.5 in
Item Weight
39.2 Oz
Item Length
9 in
Item Width
7 in

Additional Product Features

Edition Number
4
Intended Audience
College Audience
LCCN
2003-061022
Dewey Edition
22
Illustrated
Yes
Dewey Decimal
518
Table Of Content
1. Preliminaries. 2. The Solution of Nonlinear Equations f (x) = 0. 3. The Solution of Linear Systems AX = B. 4. Interpolation and Polynomial Approximation. 5. Curve Fitting. 6. Numerical Differentiation. 7. Numerical Integration. 8. Numerical Optimization. 9. Solution of Differential Equations. 10. Solution of Partial Differential Equations. 11. Eigenvalues and Eigenvectors. Appendix: An Introduction to MATLAB. Answers to Selected Exercises. Index.
Edition Description
Revised edition
Synopsis
This book provides a fundamental introduction to numerical analysis. KEY TOPICS: This book covers numerous topics including Interpolation and Polynomial Approximation, Curve Fitting, Numerical Differentiation, Numerical Integration, and Numerical Optimization. MARKET: For engineering and computer science fields., For undergraduate Introduction to Numerical Analysis courses in mathematics, science, and engineering departments. This book provides a fundamental introduction to numerical analysis for undergraduate students in the areas of mathematics, computer science, physical sciences, and engineering. Knowledge of calculus is assumed., This book provides a fundamental introduction to numerical analysis. This book covers numerous topics including Interpolation and Polynomial Approximation, Curve Fitting, Numerical Differentiation, Numerical Integration, and Numerical Optimization. For engineering and computer science fields.
LC Classification Number
QA297

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