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eBook Applied numerical analysis (World Student) download

by Curtis F Gerald

eBook Applied numerical analysis (World Student) download ISBN: 0201115778
Author: Curtis F Gerald
Publisher: Addison-Wesley Pub. Co; 3rd edition (1984)
Language: English
Pages: 650
ePub: 1163 kb
Fb2: 1145 kb
Rating: 4.1
Other formats: txt docx mbr lrf
Category: Math Sciences
Subcategory: Mathematics

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Applied Numerical Analysis book.

Applied numerical analysis. by. Gerald, Curtis . 1915-. Solution of nonlinear equations - Interpolating polynomials - Numerical integration - Numerical differentiation - Formulas by method of undetermined coefficients - Numerical solution of ordinary differential equations - Solving sets of equations - Boundary value problems - Numerical solution of elliptic partial differential equations - Parabolic partial differential equations - Hyperbolic partial differential. equations - Numerical double interpolation and multiple integration - Curve fitting and approximation of functions.

Suitable for students with mathematics and engineering backgrounds, the breadth of topics (partial differential equations, systems of nonlinear equations, and matrix algebra), provide comprehensive and flexible coverage of numerical analysis. Applied numerical analysis, Curtis F. Wheatley. Using a Computer to Do Numerical Analysis. By (author) Curtis F. Gerald, By (author) Patrick O. Interesting and timely applications motivate and enhance students' understanding of methods and analysis of results. This text incorporates a balance of theory with techniques and applications, including optional theory-based sections in each chapter. Numerical Computing and Computers. Implementing Bisection.

Authors: Curtis F. Gerald and Patrick O. Wheatley ISBN 0-321-13304-8. Done as part of the Unisa module: COS233-8, Numerical Methods.

item 1 Applied Numerical Analysis-Curtis F. Gerald -Applied Numerical Analysis-Curtis F. Gerald. The Official Cambridge Guide to IELTS Student's Book with Answers with DVD-ROM. item 2 Applied Numerical Analysis,Curtis F. Gerald -Applied Numerical Analysis,Curtis F. item 3 Applied Numerical Analysis By Curtis F. Gerald -Applied Numerical Analysis By Curtis F. item 4 Applied Numerical Analysis-Curtis F.

Numerical Analysis Books. Applied numerical analysis1Curtis F. Gerald, Patrick 0 Applied Numerical Analysis is written. Any Pages 1-24 25-50 51-100 100+. Numerical Analysis Doron Levy Department of Mathematics and Center for Scientific Computation notes5. 44 Pages·2010·439 KB·12,360 Downloads. Student Solutions Manual and Study Guide. Chapters 1 & 2 Richard L. Burden. Youngstown Numerical Burden/Fa. 87 MB·3,440 Downloads·New!

Comments: (7)
Non-linear equations and interpolation were the issues I was hunting down when I purchased the book and I found these subjects in more logical order than most texts. For some silly reason, most start with interpolation; this one starts with nonlinear equations and linear systems in chapters 1 and 2.

A little disappointed not to see Laguerre's method for non-linear equations, nor Hermite interpolation for even one derivative. But numerous problem and MatLab projects make this an excellent first text.
This has been the best numerical analysis book that I have ever seen. The author does a brilliant job and explains concepts with extreme clarity. With this book, there isn't even any need of sitting in a professor's lecture. The book that my university uses sucks so bad, there's not 1 thing I could understand. Relying on that would have flunked me, yet that useless book costs over $100 and this remarkable book only cost me $20. It may be a 1994 edition, but even 2005 edition books on numerical analysis fail to meet its quality. Definitely a lifesaver for me.
My copy (7th ed, paperback, ISBN 0321133048, bought from is of poor newspaper-like print quality.

The book typography uses black color and three halftones (titles, ref. numbers, chart curves, captions, example boxes), but the halftones are printed only at 85 LPI. Some figure captions are barely readable - you see only coarse black/white screen.

It really upsets me that such flagrant manufactuing defects spoils the impression of otherwise good book.

The content of the book is exactly what I looked for. You can quickly grasp the essentials about solving the nonlinear and linear sets of equations. The book style is motivating and I was quickly able to reveal some false statements about numerical effectivity of algorithms. Navigation in the book is simple, but I would prefer more detailed contents in the beginning of the each chapter - some sections (e.g. LU decomposition) are neither in general contents nor in chapter's contents.

The part on optimization is too brief. There are better introductory level books on this subject.
Book was the best price for what I was looking for. Used it throughout my engineering couse until i Drop it. hahaha
furious ox
The binding of the book is unacceptable. The pages become dislodged.
The quality of the book is very poor because the other copies I saw have a far better quality. I think Amazon has to improve on this aspect.
I've owned a copy of this since I was an undergrad back in the late 1970's when it was just in its second edition. I haven't seen a book dedicated to the teaching of numerical analysis that explains algorithms more clearly. The authors go into great detail not just on the how's but the why's - the motivation of doing things a certain way. Strangely enough, though, the numerous mistakes just get worse with age, not better. My old original second edition printed in 1980 has relatively few errors. This seventh edition has errors to the point of distraction. If you must have this for a text you might want to also pick up a copy of the very economical Introduction to Numerical Analysis: Second Edition (Dover Books on Advanced Mathematics) by Hillebrand. It's an oldie but a goodie. If you think Gerald's text is in error look up the topic in Hillebrand and insure you understand the topic. Chances are you do and there is a numerical error in Gerald's text that contradicts your own correct understanding. Finally, any student of numerical analysis simply must have a copy of Numerical Recipes 3rd Edition: The Art of Scientific Computing. That one is more of the "give a man a fish" variety and has the source code and some explanation, but is by no means a textbook.

Oddly enough the table of contents is not included in the product description for this book, so I show that next just so you'll know what you're getting

0. Preliminaries.
Analysis versus Numerical Analysis.
Computers and Numerical Analysis.
An Illustrative Example.
Kinds of Errors in Numerical Procedures.
Interval Arithmetic.
Parallel and Distributed Computing.
Measuring the Efficiency of Procedures.
1. Solving Nonlinear Equations.
Interval Halving (Bisection).
Linear Interpolation Methods.
Newton's Method.
Muller's Method.
Fixed-Point Iteration.
Other Methods.
Nonlinear Systems.
2. Solving Sets of Equations.
Matrices and Vectors.
Elimination Methods.
The Inverse of a Matrix and Matrix Pathology.
Almost Singular Matrices - Condition Numbers.
Interactive Methods.
Parallel Processing.
3. Interpolation and Curve Fitting.
Interpolating Polynomials.
Divided Differences.
Spline Curves.
Bezier Curves and B-Splines.
Interpolating on a Surface.
Least Squares Approximations.
4. Approximation of Functions.
Chebyshev Polynomials and Chebyshev Series.
Rational Function Approximations.
Fourier Series.
5. Numerical Differentiation and Integration.
Differentiation with a Computer.
Numerical Integration - The Trapezoidal Rule.
Simpson's Rules.
An Application of Numerical Integration - Fourier Series and Fourier Transforms Adaptive Integration.
Gaussian Quadrature.
Multiple Integrals.
Applications of Cubic Splines.
6. Numerical Solution of Ordinary Differential Equations.
The Taylor Series Method.
The Euler Method and Its Modification.
Runge-Kutta Methods.
Multistep Methods.
Higher-Order Equations and Systems.
Stiff Equations.
Boundary-Value Problems.
Characteristic-Value Problems.
7. Optimization.
Finding the Minimum of y = f(x).
Minimizing a Function of Several Variables.
Linear Programming.
Nonlinear Programming.
Other Optimizations.
8. Partial Differential Equations.
Elliptic Equations.
Parabolic Equations.
Hyperbolic Equations.
9. Finite Element Analysis.
Mathematical Background.
Finite Elements for Ordinary Differential Equation.
Finite Elements for Partial Differential Equation.
A. Some Basic Information from Calculus.
B. Software Resources.
Answers to Selected Exercises.