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Compact Numerical Methods for Computers - Linear Algebra and Function Minimisation (Paperback, Revised)
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Compact Numerical Methods for Computers - Linear Algebra and Function Minimisation (Paperback, Revised)
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This second edition of Compact Numerical Methods for Computers
presents reliable yet compact algorithms for computational
problems. As in the previous edition, the author considers specific
mathematical problems of wide applicability, develops approaches to
a solution and the consequent algorithm, and provides the program
steps. He emphasizes useful applicable methods from various
scientific research fields, ranging from mathematical physics to
commodity production modeling. While the ubiquitous personal
computer is the particular focus, the methods have been implemented
on computers as small as a programmable pocket calculator and as
large as a highly parallel supercomputer.
New to the Second Edition
Presents program steps as Turbo Pascal code
Includes more algorithmic examples
Contains an extended bibliography
The accompanying software (available by coupon at no charge)
includes not only the algorithm source codes, but also driver
programs, example data, and several utility codes to help in the
software engineering of end-user programs. The codes are designed
for rapid implementation and reliable use in a wide variety of
computing environments. Scientists, statisticians, engineers, and
economists who prepare/modify programs for use in their work will
find this resource invaluable. Moreover, since little previous
training in numerical analysis is required, the book can also be
used as a supplementary text for courses on numerical methods and
mathematical software.
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