Designed for non-expert students and researchers, this text provides an accessible introduction to scientific numerical computation and its applications. It assumes no prior knowledge beyond undergraduate calculus and elementary computer programming. Fundamental and practical issues are discussed in a unified manner with a generous, but not excessive, dose of numerical analysis. The topics are introduced on a need to know basis in order to concisely illustrate the practical implementation of a variety of algorithms and to demystify seemingly esoteric numerical methods. Algorithms that can be explained without too much elaboration and implemented within a few dozen lines of computer code are discussed in detail; those whose underlying theories require long, elaborate explanations are discussed at the level of first principles, and references for further information are given. The book uses schematic illustrations to demonstrate concepts and facilitate understanding by providing readers with a helpful interplay between ideas and visual images. Real-world examples, drawn from various branches of science and engineering, are presented in those cases where it would be difficult for readers to produce their own. The text is further enhanced by an accompanying library of FORTRAN programs, freely available on the World Wide Web at http://www-ames.ucsd.edu/research/pozrikidis/ncse.
Drawing a direct connection between numerical analysis and numerical computation, Numerical Computation in Science and Engineering serves as an ideal text for courses in numerical methods and as a supplement in any course involving numerical computation, including fluid mechanics, solid mechanics, control theory, and thermodynamics.
Drawing a direct connection between numerical analysis and numerical computation, Numerical Computation in Science and Engineering serves as an ideal text for courses in numerical methods and as a supplement in any course involving numerical computation, including fluid mechanics, solid mechanics, control theory, and thermodynamics.
