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Numerical Methods Using Matlab by Kurtis Fink and John Mathews (2003, Trade Paperback)

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Über dieses Produkt

Product Identifiers

PublisherPearson Education

ISBN-100130652482

ISBN-139780130652485

eBay Product ID (ePID)2407558

Product Key Features

Number of Pages696 Pages

LanguageEnglish

Publication NameNumerical Methods Using Matlab

SubjectMathematical & Statistical Software, Numerical Analysis, Computer Science

Publication Year2003

FeaturesRevised

TypeTextbook

AuthorKurtis Fink, John Mathews

Subject AreaMathematics, Computers

FormatTrade Paperback

Dimensions

Item Height1.5 in

Item Weight39.2 Oz

Item Length9 in

Item Width7 in

Additional Product Features

Edition Number4

Intended AudienceCollege Audience

LCCN2003-061022

Dewey Edition22

IllustratedYes

Dewey Decimal518

Table Of Content1. 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 DescriptionRevised edition

SynopsisThis 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 NumberQA297