Request for consultation

Thanks for your request. You’ll soon be chatting with a consultant to get the answers you need.
Your form is submitting...
{{formPostErrorMessage.message}} [{{formPostErrorMessage.code}}]
Email Address is required. 'Email Address' must contain at least 0 characters 'Email Address' cannot exceed 0 characters Please enter a valid Email Address
First Name is required. 'First Name' must contain at least 0 characters 'First Name' cannot exceed 0 characters Please enter a valid First Name
Last Name is required. 'Last Name' must contain at least 0 characters 'Last Name' cannot exceed 0 characters Please enter a valid Last Name
Institution is required.
Discipline is required.
Country is required. 'Country' must contain at least 0 characters 'Country' cannot exceed 0 characters Please enter a valid Country
Cengage, at your service! How can we best meet your needs? is required.
Why are you contacting us today? is required. 'Why are you contacting us today?' must contain at least 0 characters 'Why are you contacting us today?' cannot exceed 0 characters Please enter a valid Why are you contacting us today?

Numerical Mathematics and Computing, 7th Edition

E. Ward Cheney, David R. Kincaid

  • {{checkPublicationMessage('Published', '2020-11-24T00:00:00+0000')}}
Starting At £53.00 See pricing and ISBN options
Numerical Mathematics and Computing 7th Edition by E. Ward Cheney/David R. Kincaid

Overview

Authors Ward Cheney and David Kincaid show students of science and engineering the potential computers have for solving numerical problems and give them ample opportunities to hone their skills in programming and problem solving. NUMERICAL MATHEMATICS AND COMPUTING, 7th Edition also helps students learn about errors that inevitably accompany scientific computations and arms them with methods for detecting, predicting, and controlling these errors.

E. Ward Cheney

Ward Cheney is Professor of Mathematics at the University of Texas at Austin. His research interests include approximation theory, numerical analysis, and extremum problems.

David R. Kincaid

David Kincaid is Senior Lecturer in the Department of Computer Sciences at the University of Texas at Austin. Also, he is the Interim Director of the Center for Numerical Analysis (CNA) within the Institute for Computational Engineering and Sciences (ICES).
  • UPDATED! The Solving Systems of Linear Equations chapter has been moved earlier in the text to provide more clarity throughout the text.
  • NEW! Exercises, computer exercises, and application exercises have been added to the text.
  • NEW! A section of Fourier Series and Fast Fourier Transforms has been added.
  • The first two chapters in the previous edition on Mathematical Preliminaries, Taylor Series, Oating-Point Representation, and Errors have been combined into a single introductory chapter to allow instructors and students to move quickly.
  • Some sections and material have been re-moved from the new edition such as the introductory section on numerical integration. Some material and many bibliographical items have been moved from the textbook to the website.
  • The two chapters, in the previous edition, on Ordinary Differential Equations have been combined into one chapter.
  • Comprehensive, Current and Cutting Edge: Completely updated, the new edition includes new sections and material on such topics as the modified false position method, the conjugate gradient method, Simpsons method, and more.
  • Hands-On Applications: Giving students myriad opportunities to put chapter concepts into real practice, additional exercises involving applications are presented throughout.
  • References: Citation to recent references reflects the latest developments from the field.
  • Appendices: Reorganized and revamped, new appendices offer a wealth of supplemental material, including advice on good programming practices, coverage of numbers in different bases, details on IEEE floating-point arithmetic, and discussions of linear algebra concepts and notation.
1. MATHEMATICAL PRELIMINARIES AND FLOATING-POINT REPRESENTATION.
Introduction, Mathematical Preliminaries. Floating-Point Representation. Loss of Significance.
2. LINEAR SYSTEMS.
Naive Gaussian Elimination. Gaussian Elimination with Scaled Partial Pivoting. Tridiagonal and Banded Systems.
3. NONLINEAR EQUATIONS.
Bisection Method. Newton’s Method, Secant Method.
4. INTERPOLATION AND NUMBERICAL DIFFERENTIATION.
Polynomial Interpolation. Errors in Polynomial Interpolation. Estimating Derivatives and Richardson Extrapolation.
5. NUMERICAL INTEGRATION.
Trapezoid Method. Romberg Algorithm. Simpson’s Rules and Newton-Cotes Rules. Gaussian Quadrature Formulas.
6. SPLINE FUNCTIONS.
First-Degree and Second-Degree Splines. Natural Cubic Splines. B Splines: Interpolation and Approximation.
7. INITIAL VALUES PROBLEMS.
Taylor Series Methods. Runge-Kutta Methods. Adaptive Runge-Kutta and Multistep Methods. Methods for First and Higher-Order Systems. Adams-Bashforth-Moulton Methods.
8. MORE ON LINEAR SYSTEMS.
Matrix Factorizations. Eigenvalues and Eigenvectors. Power Method. Iterative Solutions of Linear Systems.
9. LEAST SQUARES METHODS AND FOURIER SERIES.
Method of Least Squares. Orthogonal Systems and Chebyshev Polynomials. Examples of the Least-Squares Principle. Fourier Series.
10. MONTE CARLO METHODS AND SIMULATION.
Random Numbers. Estimation of Areas and Volumes by Monte Carlo Techniques. Simulation.
11. BOUNDARY-VALUE PROBLEMS.
Shooting Method. A Discretization Method.
12. PARTIAL DIFFERENTIAL EQUATIONS.
Parabolic Problems. Hyperbolic Problems. Elliptic Problems.
13. MINIMIZATION OF FUNTIONS.
One-Variable Case. Multivariable Case.
14. LINEAR PROGRAMMING PROBLEMS.
Standard Forms and Duality. Simplex Method, Inconsistent Linear Systems.
APPENDIX A. ADVICE ON GOOD PROGRAMMING PRACTICES.
Programming Suggestions.
APPENDIX B. REPRESENTATION OF NUMBERS IN DIFFERENT BASES.
Representation of Numbers in Different Bases.
APPENDIX C. ADDITIONAL DETAILS ON IEEE FLOATING-POINT ARITHMETIC.
More on IEEE Standard Floating-Point Arithmetic.
APPENDIX D. LINEAR ALGEBRA CONCEPTS AND NOTATION.
Elementary Concepts.
ANSWERS FOR SELECTED EXERCISES.
BIBLIOGRAPHY.
INDEX.

Textbook Only Options

Traditional eBook and Print Options

{{collapseContainerClosed['detail_0'] ? 'Show More' : 'Show Less'}}

  • ISBN-10: 1285284674
  • ISBN-13: 9781285284675
  • RETAIL £53.00

  • ISBN-10: 1133491804
  • ISBN-13: 9781133491804
  • RETAIL £60.99

  • ISBN-10: 0357670841
  • ISBN-13: 9780357670842
  • RETAIL £88.99

Cengage provides a range of supplements that are updated in coordination with the main title selection. For more information about these supplements, contact your Learning Consultant.

FOR INSTRUCTORS

Student Solutions Manual for Cheney/Kincaid's Numerical Mathematics and Computing, 7th

ISBN: 9781133491804
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.

FOR STUDENTS

Student Solutions Manual for Cheney/Kincaid's Numerical Mathematics and Computing, 7th

ISBN: 9781133491804
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.