Student Solutions Manual and Study Guide for Numerical Analysis

Student Solutions Manual and Study Guide for Numerical Analysis
Author: Richard L. Burden
Publisher: Cengage Learning
Total Pages: 213
Release: 2004-12-01
Genre: Mathematics
ISBN: 9780534392024

The Student Solutions Manual contains worked-out solutions to many of the problems. It also illustrates the calls required for the programs using the algorithms in the text, which is especially useful for those with limited programming experience.

Student Solutions Manual and Study Guide

Student Solutions Manual and Study Guide
Author: Richard L. Burden
Publisher: Thomson Brooks/Cole
Total Pages: 0
Release: 2010-09-22
Genre: Numerical analysis
ISBN: 9780538735636

The Student Solutions Manual and Study Guide contains worked-out solutions to selected exercises from the text. The solved exercises cover all of the techniques discussed in the text, and include step-by-step instruction on working through the algorithms.

Student Solutions Manual for Faires/Burden's Numerical Methods, 4th

Student Solutions Manual for Faires/Burden's Numerical Methods, 4th
Author: J. Douglas Faires
Publisher: Cengage Learning
Total Pages: 0
Release: 2012-06-27
Genre:
ISBN: 9780495392989

Contains fully worked-out solutions to all of the odd-numbered exercises in the text, giving students a way to check their answers and ensure that they took the correct steps to arrive at an answer.

A Student's Guide to Numerical Methods

A Student's Guide to Numerical Methods
Author: Ian H. Hutchinson
Publisher: Cambridge University Press
Total Pages: 223
Release: 2015-04-30
Genre: Computers
ISBN: 1107095670

The plain language style, worked examples and exercises in this book help students to understand the foundations of computational physics and engineering.

Applied Numerical Methods with MATLAB for Engineers and Scientists

Applied Numerical Methods with MATLAB for Engineers and Scientists
Author: Steven C. Chapra
Publisher: McGraw-Hill Science/Engineering/Math
Total Pages: 618
Release: 2008
Genre: Computers
ISBN:

Still brief - but with the chapters that you wanted - Steven Chapra’s new second edition is written for engineering and science students who need to learn numerical problem solving. This text focuses on problem-solving applications rather than theory, using MATLAB throughout. Theory is introduced to inform key concepts which are framed in applications and demonstrated using MATLAB. The new second edition feature new chapters on Numerical Differentiation, Optimization, and Boundary-Value Problems (ODEs).

An Introduction to Numerical Methods and Analysis

An Introduction to Numerical Methods and Analysis
Author: James F. Epperson
Publisher:
Total Pages:
Release: 2013
Genre: Numerical analysis
ISBN: 9781118730973

"The objective of this book is for readers to learn where approximation methods come from, why they work, why they sometimes don't work, and when to use which of the many techniques that are available, and to do all this in an environment that emphasizes readability and usefulness to the numerical methods novice. Each chapter and each section begins with the basic, elementary material and gradually builds up to more advanced topics. The text begins with a review of the important calculus results, and why and where these ideas play an important role throughout the book. Some of the concepts required for the study of computational mathematics are introduced, and simple approximations using Taylor's Theorem are treated in some depth. The exposition is intended to be lively and "student friendly". Exercises run the gamut from simple hand computations that might be characterized are "starter exercises", to challenging derivations and minor proofs, to programming exercises. Eleven new exercises have been added throughout including: Basins of Attraction; Roots of Polynomials I; Radial Basis Function Interpolation; Tension Splines; An Introduction to Galerkin/Finite Element Ideas for BVPs; Broyden's Method; Roots of Polynomials, II; Spectral/collocation methods for PDEs; Algebraic Multigrid Method; Trigonometric interpolation/Fourier analysis; and Monte Carlo methods. Various sections have been revised to reflect recent trends and updates in the field"--