Classical and Modern Numerical Analysis

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A01=Azmy S. Ackleh
A01=Edward James Allen
A01=Padmanabhan Seshaiyer
A01=R. Baker Kearfott
advanced differential equations
approximation theory
arithmetic
Author_Azmy S. Ackleh
Author_Edward James Allen
Author_Padmanabhan Seshaiyer
Author_R. Baker Kearfott
Azmy S. Ackleh
Broyden's Method
Broyden’s Method
Category=PBKS
Composite Trapezoidal Rule
computational mathematics
computational methods
Contraction Mapping Theorem
Double Precision Numbers
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Euler's Method
Euler’s Method
Gauss Seidel Method
Gaussian Elimination
graduate level numerical analysis guide
Gram Schmidt Process
Householder Transformations
IEEE Arithmetic
IEEE Double Precision
IEEE Single Precision
integral equations
Interior Point Methods
Interpolating Polynomial
interval
Interval Arithmetic
Interval Computations
Interval Newton Method
inverse
Inverse Power Method
jacobian
matrix
matrix factorization methods
method
Newton Cotes Formulas
Newton's Method
Newton’s Method
nonlinear systems solver
numerical analysis
numerical linear algebra
numerical stability analysis
optimization
power
QR Decomposition
QR Factorization
QR Method
quasi-newton
quasi-Newton Equation
scientific computing techniques
SOR Method
taylor's
vector

Product details

  • ISBN 9781420091571
  • Weight: 1320g
  • Dimensions: 156 x 234mm
  • Publication Date: 20 Jul 2009
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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Classical and Modern Numerical Analysis: Theory, Methods and Practice provides a sound foundation in numerical analysis for more specialized topics, such as finite element theory, advanced numerical linear algebra, and optimization. It prepares graduate students for taking doctoral examinations in numerical analysis.

The text covers the main areas of introductory numerical analysis, including the solution of nonlinear equations, numerical linear algebra, ordinary differential equations, approximation theory, numerical integration, and boundary value problems. Focusing on interval computing in numerical analysis, it explains interval arithmetic, interval computation, and interval algorithms. The authors illustrate the concepts with many examples as well as analytical and computational exercises at the end of each chapter.

This advanced, graduate-level introduction to the theory and methods of numerical analysis supplies the necessary background in numerical methods so that students can apply the techniques and understand the mathematical literature in this area. Although the book is independent of a specific computer program, MATLAB® code is available on the authors' website to illustrate various concepts.

Azmy S. Ackleh is Dr. Ray P. Authement/BORSF Eminent Scholar Endowed Chair in Computational Mathematics at the University of Louisiana. Dr. Ackleh has more than fifteen years experience in mathematical biology with an emphasis on the long-time behavior of discrete and continuous population models and numerical methods for structured-population models.

Edward James Allen is a professor of mathematics at Texas Tech University. Dr. Allen works primarily on the derivation and computation of stochastic differential equation models in biology and physics and on the development and analysis of numerical methods for problems in neutron transport.

R. Baker Kearfott is a professor of mathematics at the University of Louisiana, with over thirty years experience teaching numerical analysis. Dr. Kearfott’s research focuses on nonlinear equations, nonlinear optimization, and mathematically rigorous numerical analysis.

Padmanabhan Seshaiyer is an associate professor of mathematical sciences at George Mason University. Dr. Seshaiyer has done extensive work on the theoretical and computational aspects of finite element methods and applications of numerical methods to biological and bio-inspired problems.

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