AMS Bookstore LOGO amslogo
Return to List  Item: 1 of 1   
Numerical Methods for Scientists and Engineers: Third Edition
H. M. Antia, Tata Institute of Fundamental Research, Mumbai, India
A publication of Hindustan Book Agency.
Hindustan Book Agency
2012; 888 pp; hardcover
ISBN-13: 978-93-80250-40-3
List Price: US$95
Member Price: US$76
Order Code: HIN/56
[Add Item]

Computation is an indispensable tool in the analysis and exploration of a wide range of physical phenomena. This book presents an exhaustive exposition of the various numerical methods used in scientific and engineering applications. It emphasizes the practical aspects of numerical computation and discusses various techniques in sufficient detail to enable their implementation in solving a wide range of problems. An important addition in this revised third edition is a chapter on basic statistics.

More than 100 worked-out examples illustrate a variety of numerical algorithms. The limitations of the algorithms are also discussed, as are pitfalls in numerical computations. A special feature is the inclusion of a discussion of techniques for error-estimation. In addition, more than 500 unsolved problems (with answers) of varying difficulty are included, and more than 200 computer programs in FORTRAN and C, covering all topics, are provided as supplementary material online. These give the book a strong pedagogic focus. Examples and exercises are drawn from areas as diverse as fluid mechanics, celestial mechanics, and seismology.

This book will be extremely useful for graduate students and researchers in all branches of science and engineering.

A publication of Hindustan Book Agency; distributed within the Americas by the American Mathematical Society. Maximum discount of 20% for all commercial channels.


Graduate students and research mathematicians interested in science and engineering.

Table of Contents

  • Introduction
  • Roundoff error
  • Linear algebraic equations
  • Interpolation
  • Differentiation
  • Integration
  • Nonlinear algebraic equations
  • Optimisation
  • Statistical inferences
  • Functional approximations
  • Algebraic eigenvalue problem
  • Ordinary differential equations
  • Integral equations
  • Partial differential equations
  • Appendix A: Answers and hints
  • Index
Powered by MathJax
Return to List  Item: 1 of 1   

  AMS Home | Comments:
© Copyright 2014, American Mathematical Society
Privacy Statement

AMS Social

AMS and Social Media LinkedIn Facebook Podcasts Twitter YouTube RSS Feeds Blogs Wikipedia