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Elements of the General Theory of Optimal Algorithms

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Results provide methods to solve problems that have been unsolvable until now Provides know-how in computer technology for computational processes for various computational models Results can be used in the design of plates and shells of complex shapes made of modern composite materials

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In this monograph, the authors develop a methodology that allows one to construct and substantiate optimal and suboptimal algorithms to solve problems in computational and applied mathematics. Throughout the book, the authors explore well-known and proposed algorithms with a view toward analyzing their quality and the range of their efficiency. The concept of the approach taken is based on several theories (of computations, of optimal algorithms, of interpolation, interlination, and interflatation of functions, to name several). Theoretical principles and practical aspects of testing the quality of algorithms and applied software, are a major component of the exposition. The computer technology in construction of T-efficient algorithms for computing ε-solutions to problems of computational and applied mathematics, is also explored. The readership for this monograph is aimed at scientists, postgraduate students, advanced students, and specialists dealing with issues of developing algorithmic and software support for the solution of problems of computational and applied mathematics.

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Hardcover, Softcover

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Book information

Edition
1st Edition
ISBN [Hardcover]
9783030909062
Publisher
Springer
Year
2021
Pages
XVII, 378 p.
Series Title
Springer Optimization and Its Applications
Language
English
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