Topics are divided between review material on the mathematics background; numerical-analysis methods such as differentiation, integration, the solution of differential equations from engineering, life and physical sciences; data-analysis applications including least-squares fitting, splines and Fourier expansions. Unique in its project orientation, it features a vast amount of exercises with emphasis on realistic examples from current applications.
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1 of 1 people found the following review helpful:
4.0 out of 5 stars
A good book on Numerical Analysis to start with.,
By Bhupendra Khanolkar (Chicago, IL USA) - See all my reviews
This review is from: Computing for Scientists and Engineers: A Workbook of Analysis, Numerics, and Applications (Paperback)
A very good book to start with. Very Mathematical in its approach. Not much of implementation. But will help you do your own implementation. For people who what to learn the basics and try implementing themselves. Not for people who want ready made soup.
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