On 2009-11-21 Petel, Israel wrote: Numerical methods for scientists and engineers is a fantastic textbook. I´ve always been interested in numerical analysis. Numerical analysis to me is the perfect combination: it has both mathematics and programming. A good example of this idea is Numerical Recipes in C, where you have both algorithms and their implementation. That being said, this book delivers where Numerical Recipes misses. It provides insight and understanding and explains the algorithms, not in a cookbook fashion, rather in a linear progressive method. There´s not a single piece of code yet the algorithms are clearly expressed. It provides a clear understanding of methods I´ve used but didn´t truly understand. It adds by discussing topics that aren´t usually discussed in regular Numerical analysis textbooks, such as universal matrices, Stirling numbers, and Bernoulli numbers, generating functions, Riemann zeta function, Hermite interpolation, Chebyshev approximation, Adams-Bashforth and Milne methods and much, much more.
The book can be read by anyone with graduate level math background: calculus, linear algebra and ordinary differential equations. Previous knowledge of numerical analysis is not required, the first chapters cover the basics extremely well.. And summed up by saying One of the best. Currently Numerical Methods for Scientists and Engineers has an overall rating of 10 over 10.
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Dover Publications claimed For this inexpensive paperback edition of a groundbreaking classic, the author has extensively rearranged, rewritten and enlarged the material. Book is unique in its emphasis on the frequency approach and its use in the solution of problems. Contents include: Fundamentals and Algorithms; Polynomial Approximation— Classical Theory; Fourier Approximation—Modern Therory; Exponential Approximation.
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