Elements of the general theory of optimal algorithms /

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Bibliographic Details
Author / Creator:Sergienko, Ivan Vasilʹevich.
Imprint:Cham, Switzerland : Springer, 2021.
Description:1 online resource
Language:English
Series:Springer optimization and its applications ; v. 188
Springer optimization and its applications ; v. 188.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12942688
Hidden Bibliographic Details
Other authors / contributors:Zadiraka, Valeriy K.
Lytvyn, Oleg M.
ISBN:9783030909086
3030909085
3030909069
9783030909062
9783030909079
3030909077
Digital file characteristics:text file PDF
Notes:Includes bibliographical references and index.
Online resource; title from PDF title page (SpringerLink, viewed February 1, 2022).
Summary: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 -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.
Other form:Original 3030909069 9783030909062
Standard no.:10.1007/978-3-030-90908-6