
Numerical Analysis with Algorithms and Programming
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Along with numerous worked-out examples, end-of-chapter exercises, and Mathematica (R) 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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