Handbook on Analytic-Computational Methods in Applied Mathematics
|von George Anastassiou|
From Book News, Inc. In 22 long survey and expository articles, scholars of mathematics and fields in which mathematics is used, including statistics, economics, and communications, on methods for working computationally in applied mathematics. They discuss such topics as approximation related to order statistics, inverse problems, inequalities for trapezoidal and midpoint rules, numerical methods for solving equations in Banach spaces, computational harmonic analysis, fast trigonometric transform methods, wavelet methods, classical inequalities, optimality in approximation theory, approximation methods in random and fuzzy environments, global smoothness methods in approximation theory, orthogonal polynomials, digitized partial differential equation methods, quadrature formulations applications, mathematical finance methods, optimization, the connection of Bernstein approximations to real-life sciences, and applications of splines. They are appropriate for researchers and graduate students.Book News, Inc.®, Portland, OR
Synopsis A handbook devoted to analytic computational methods in approximation theory and other related fields. It features coverage of a variety of problems related to approximation theory, including Lagrangian interpolation, minimal projections, multivariate approximations, optimal simultaneous approximation, and Bernstein-type operators. Applications from the fields of economics, statistics, dynamic programming and engineering are presented.
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