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Numerical Analysis with Algorithms and Programming
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Numerical Analysis with Algorithms and Programming

Book Details

Format Hardback or Cased Book
ISBN-10 1498741746
ISBN-13 9781498741743
Publisher Taylor & Francis Inc
Imprint Chapman & Hall/CRC
Country of Manufacture GB
Country of Publication GB
Publication Date May 17th, 2016
Print length 708 Pages
Weight 1,382 grams
Dimensions 19.00 x 26.10 x 4.50 cms
Ksh 25,200.00
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This is the first comprehensive textbook to provide detailed coverage of numerical methods, their algorithms, and corresponding computer programs. The book presents many techniques for the efficient numerical solution of problems in science and engineering. It develops students’ understanding of the construction of numerical algorithms and the applicability of the methods. Along with numerous worked-out examples, end-of-chapter exercises, and Mathematica® programs, the book includes the standard algorithms for numerical computation.

Numerical Analysis with Algorithms and Programming is the first comprehensive textbook to provide detailed coverage of numerical methods, their algorithms, and corresponding computer programs. It presents many techniques for the efficient numerical solution of problems in science and engineering.

Along with numerous worked-out examples, end-of-chapter exercises, and Mathematica® programs, the book includes the standard algorithms for numerical computation:

  • Root finding for nonlinear equations
  • Interpolation and approximation of functions by simpler computational building blocks, such as polynomials and splines
  • The solution of systems of linear equations and triangularization
  • Approximation of functions and least square approximation
  • Numerical differentiation and divided differences
  • Numerical quadrature and integration
  • Numerical solutions of ordinary differential equations (ODEs) and boundary value problems
  • Numerical solution of partial differential equations (PDEs)

The text develops students’ understanding of the construction of numerical algorithms and the applicability of the methods. By thoroughly studying the algorithms, students will discover how various methods provide accuracy, efficiency, scalability, and stability for large-scale systems.


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