Theory and Mathematical Methods in Bioinformatics:
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Wavelet theory originated from research activities in many areas of Based on courses taught by the authors at Texas A&M University as well as related conferences, Fundamentals of Wavelets is a textbook offering an up-to-date engineering approach to wavelet theory. It balances a discussion of wavelet theory and algorithms with its far-ranging practical applications in signal processing, image processing, electromagnetic wave scattering, and boundary value problems. to download follow the link below:
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Statistical Learning Theory and Stochastic Product Statistical learning theory is aimed at analyzing complex data with necessarily approximate models. This book is intended for an to download follow the link below: http://rapidshare.com/files/257020408/statistical_learning_theory_and_stochastic_optimization.pdf
Algorithmic Number Theory: 6th International Symposium This book constitutes the refereed proceedings of the 6th International Algorithmic Number Theory Symposium, ANTS 2004, held in Burlington, VT, USA, in June 2004. The 30 revised full papers presented together with 3 invited papers were carefully reviewed and selected for inclusion in the book. Among the topics addressed are zeta functions, elliptic curves, hyperelliptic curves, GCD algorithms, number field computations, complexity, primality testing, Weil and Tate pairings, cryptographic algorithms, function field sieve, algebraic function field mapping, quartic fields, cubic number fields, lattices, discrete logarithms, and public key cryptosystems. to download follow the link below:
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