Numerical Methods With Computer Programs In C++

Numerical Methods With Computer Programs In C++
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Numerical Methods With Computer Programs In C++

Publisher: PHI Learning
ISBN: 9788120329874
Number of Pages: 648
Availability: In Stock
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About The Book Numerical Methods With Computer Programs In C++
Book Summary:

Today, C++ is gaining prominence as a programming language and is emerging as a preferred choice of programmers because of its many attractive features and its user-friendly nature. And this text, intended for undergraduate students of engineering as well as for students of Mathematics, Physics and Chemistry, shows how numerical methods can be applied in solving engineering problems using C++. The text, while emphasizing the application aspects, also provides deep insight into the development of numerical algorithms. KEY FEATURES Gives detailed step-by-step description of numerical algorithms and demonstrates their implementation. Each method is illustrated with solved examples. Provides C++ programs on many numerical algorithms. Elementary problems from various branches of science and engineering are solved. Contains 79 programs written in C++. Provides about 200 solved examples which illustrate the concepts. The Exercise problems, with various categories like Quiz, Analytical and Numerical Problems and Software Development Projects, drill the students in self-study. The accompanying CD-ROM contains all the programs given in the book.

This book is recommended in North Easterm Regional Institute of Science and Technology, Arunachal Pradesh, NIT Manipur, Assam Engineering College, IIT Guwuhati.

Students as well as programmers should find this text immensely useful for its numerous student-friendly features coupled with the elegant exposition of concepts and the clear emphasis on applications.

Table of Contents:
Preface. 1. C++ and Object-Oriented Programming. 2. Accuracy and Stability in Numerical Computing. 3. Solution of Simultaneous Linear Algebraic Equations. 4. Solution of Nonlinear Equations. 5. Eigenvalues and Eigenvectors of Matrices. 6. Statistical Analysis of Data. 7. Curve Fitting. 8. Sorting of Data. 9. Approximation of Functions. 10. Interpolation. 11. Numerical Integration. 12. Numerical Differentiation. 13. Solution of Ordinary Differential Equations: Initial Value Problems. 14. Solution of Ordinary Differential Equations: Boundary Value Problems. 15. Numerical Solution of Partial Differential Equations. Appendix. Suggested Further Reading. Index.