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Elements of the General Theory of Optimal Algorithms

  • Results provide methods to solve problems that have been unsolvable until now

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Part of the Springer Optimization and Its Applications book series (SOIA, volume 188)

Table of contents

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  1. Front Matter
    Pages i-xvii
  2. Ivan V. Sergienko, Valeriy K. Zadiraka, Oleg M. Lytvyn
    Pages 1-27
  3. Ivan V. Sergienko, Valeriy K. Zadiraka, Oleg M. Lytvyn
    Pages 29-73
  4. Ivan V. Sergienko, Valeriy K. Zadiraka, Oleg M. Lytvyn
    Pages 75-176
  5. Ivan V. Sergienko, Valeriy K. Zadiraka, Oleg M. Lytvyn
    Pages 177-251
  6. Ivan V. Sergienko, Valeriy K. Zadiraka, Oleg M. Lytvyn
    Pages 253-280
  7. Ivan V. Sergienko, Valeriy K. Zadiraka, Oleg M. Lytvyn
    Pages 281-335
  8. Back Matter
    Pages 357-378

About this book

Introduction

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.

Keywords

T-efficient algorithms software support theory of computations theory of optimal algorithms computing theory computational complexity

Authors and affiliations

  1. 1.V. M. Glushkov Institute of CyberneticsNational Academy of Sciences of UkraineKyivUkraine
  2. 2.V. M. Glushkov Institute of CyberneticsNational Academy of SciencesKyivUkraine
  3. 3.Department of Information Computing Technology and MathematicsUkrainian Engineering Pedagogics AcademyKharkivUkraine

About the authors

​Ivan V. Sergienko is the Director of the V.M. Glushkov Institute of Cybernetics of the National Academy of Science of Ukraine.

Valeriy K. Zadiraka is Head of the Department of Numerical Methods for Optimization at the V.M. Glushkov Institute of Cybernetics of the National Academy of Science of Ukraine.

Oleg M. Lytvyn is Professor at the Department of Information Computing Technology and Mathematics at the Ukrainian Engineering Pedagogical Academy.


Bibliographic information

  • Book Title Elements of the General Theory of Optimal Algorithms
  • Authors Ivan V. Sergienko
    Valeriy K. Zadiraka
    Oleg M. Lytvyn
  • Series Title Springer Optimization and Its Applications
  • Series Abbreviated Title Springer Optimization
  • DOI https://doi.org/10.1007/978-3-030-90908-6
  • Copyright Information Springer Nature Switzerland AG 2021
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics Mathematics and Statistics (R0)
  • Hardcover ISBN 978-3-030-90906-2
  • eBook ISBN 978-3-030-90908-6
  • Series ISSN 1931-6828
  • Series E-ISSN 1931-6836
  • Edition Number 1
  • Number of Pages XVII, 378
  • Number of Illustrations 9 b/w illustrations, 0 illustrations in colour
  • Additional Information English translation of the 1st Ukrainian edition by Scientific Thought, Kiev, Ukraine, 2012
  • Topics Computational Mathematics and Numerical Analysis
    Optimization
    Algorithms