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Solution Manual – Numerical Analysis, 10th Edition | Burden, Faires & Burde

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This solution manual provides complete, step‑by‑step answers and clear explanations for the exercises, problems, and application questions featured in Numerical Analysis, 10th Edition by Richard L. Burden, J. Douglas Faires, and Annette M. Burde. Designed to support students in understanding numerical methods and their practical implementation, this manual simplifies complex computations and strengthens problem‑solving skills. The guide includes detailed solutions for fundamental topics such as error analysis, root‑finding algorithms, interpolation and approximation, numerical differentiation and integration, systems of equations, eigenvalues, and numerical solutions to ordinary differential equations. Whether you’re preparing for exams, completing assignments, or reinforcing lecture content, this resource provides clarity and confidence in mastering numerical techniques. Ideal for undergraduate and graduate students in mathematics, engineering, computer science, and physical sciences, this solution manual is a valuable study aid for coursework and applied numerical computation.

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Complete Solutions Manual
to Accompany

Numerical Analysis
TENTH EDITION

Richard L. Burden
Youngstown University
Youngstown, OH
© Cengage Learning. All rights reserved. No distribution allowed without express authorization.




J. Douglas Faires
Youngstown University
Youngstown, OH

Annette M. Burden
Youngstown University
Youngstown, OH




Prepared by

Richard L. Burden
Youngstown University, Youngstown, OH


Annette M. Burden
Youngstown University, Youngstown, OH




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ISBN-10: 1-305-25369-8
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Printed in the United States of America
1 2 3 4 5 6 7 17 16 15 14 13

,Contents


Chapter 1: Mathematical Preliminaries............................................................................................ 1

Chapter 2: Solutions of Equations of One Variable ....................................................................... 15

Chapter 3: Interpolation and Polynomial Approximation .............................................................. 37

Chapter 4: Numerical Differentiation and Integration ................................................................... 67

Chapter 5: Initial-Value Problems for Ordinary Differential Equations ........................................ 99

Chapter 6: Direct Methods for Solving Linear Equations ........................................................... 165

Chapter 7: Iterative Techniques in Matrix Algebra ..................................................................... 195

Chapter 8: Approximation Theory ............................................................................................... 227

Chapter 9: Approximating Eigenvalues ....................................................................................... 249

Chapter 10: Numerical Solutions of Nonlinear Systems of Equations ........................................ 277

Chapter 11: Boundary-Value Problems for Ordinary Differential Equations .............................. 291

Chapter 12: Numerical Solutions to Partial Differential Equations ............................................. 315

, Preface

This Instructor’s Manual for the Tenth edition of Numerical Analysis by Burden,
Faires, and Burden contains solutions to all the exercises in the book. Although the
answers to the odd exercises are also in the back of the text, we have found that
users of the book appreciate having all the solutions in one source. In addition, the
results listed in this Instructor’s Manual often go beyond those given in the back of
the book. For example, we do not place the long solutions to theoretical and applied
exercises in the book. You will find them here.
A Student Study Guide for the Tenth edition of Numerical Analysis is also available
and the solutions given in the Guide are generally more detailed than those in the
Instructor’s Manual.
We have added a number of exercises to the text that can be implemented in any
generic computer algebra system such as Maple, Matlab, Mathematica, Sage, and
FreeMat. In our recent teaching of the course we found that students understood the
concepts better when they worked through the algorithms step-by-step, but let the
computer algebra system do the tedious computation.
It has been our practice to include in our Numerical Analysis book structured
algorithms of all the techniques discussed in the text. The algorithms are given in a
form that can be coded in any appropriate programming language, by students with
even a minimal amount of programming expertise.
At our companion website for the book,

https://sites.google.com/site/numericalanalysis1burden/

you will find all the algorithms written in the programming languages FORTRAN,
Pascal, C, Java, and in the Computer Algebra Systems, Maple, MATLAB, and Math-
ematica. For the Tenth edition, we have added new Maple programs to reflect the
NumericalAnalysis package.
The companion website also contains additional information about the book and
will be updated regularly to reflect any modifications that might be made. For exam-
ple, we will place there any responses to questions from users of the book concerning
interpretations of the exercises and appropriate applications of the techniques. We
also have a set of PowerPoint files for many of the methods in the book. Many
vii

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