Numerical Analysis for Engineers and Scientists

Numerical Analysis for Engineers and Scientists

Striking a balance between theory and practice, this graduate-level text is perfect for students in the applied sciences. It provides full coverage of classical methods with a clear explanation of how they work, together with sample programs and many practical examples to help students get started.

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Bibliographic Details
Main Author: Miller, G. Miller, G. (Gregory H.) (Author)
Format: Book
Language:English
Published: Cambridge Cambridge University Press 2014
Edition:Print book : English
Subjects:
Numerical analysis
Numerische Mathematik
Engineering mathematics
Online Access:Click Here to View Status and Holdings.
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Table of Contents:
  • 1. Numerical error
  • 2. Direct solution of linear systems
  • 3. Eigenvalues and eigenvectors
  • 4. Iterative approaches for linear systems
  • 5. Interpolation
  • 6. Iterative methods and the roots of polynomials
  • 7. Optimization
  • 8. Data fitting
  • 9. Integration
  • 10. Ordinary differential equations
  • 11. Introduction to stochastic ODEs
  • 12. A big integrative example
  • A. Mathematical background
  • B. Sample codes
  • Index.

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