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Methods of Optimization and Systems Analysis for Problems of Transcomputational Complexity

  • Book
  • © 2012

Overview

Authors:
  1. Ivan V. Sergienko

    1. , V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kiev, Ukraine

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  • Offers an interesting and rigorous presentation of modern optimization and adjacent disciplines
  • Presents research from a well-known school of optimization originating in Ukraine
  • Enables the students of informatics and cybernetics to refine their specialization
  • Includes supplementary material: sn.pub/extras
  • Includes supplementary material: sn.pub/extras

Part of the book series: Springer Optimization and Its Applications (SOIA, volume 72)

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Table of contents (5 chapters)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Science Was the Meaning of His Life

    • Ivan V. Sergienko
    Pages 1-27

  3. Optimization Methods and Their Efficient Use

    • Ivan V. Sergienko
    Pages 29-105

  4. Mathematical Modeling and Analysis of Complex Processes on Supercomputer Systems

    • Ivan V. Sergienko
    Pages 107-160

  5. Problems of Modeling and Analysis of Processes in Economic Cybernetics

    • Ivan V. Sergienko
    Pages 161-185

  6. Analyzing the Solution of Complicated Combinatorial Problems

    • Ivan V. Sergienko
    Pages 187-210

  7. Back Matter

    Pages 211-226
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Keywords

About this book

This work presents lines of investigation and scientific achievements of the Ukrainian school of optimization theory and adjacent disciplines. These include the development of approaches to mathematical theories, methodologies, methods, and application systems for the solution of applied problems in economy, finances, energy saving, agriculture, biology, genetics, environmental protection, hardware and software engineering, information protection, decision making, pattern recognition, self-adapting control of complicated objects, personnel training, etc. The methods developed include sequential analysis of variants, nondifferential optimization, stochastic optimization, discrete optimization, mathematical modeling, econometric modeling, solution of extremum problems on graphs, construction of discrete images and combinatorial recognition, etc. Some of these methods became well known in the world's mathematical community and are now known as classic methods.

Authors and Affiliations

  • , V.M. Glushkov Institute of Cybernetics, National Academy of Sciences of Ukraine, Kiev, Ukraine

    Ivan V. Sergienko

About the author

Sergienko, Ivan V., D. PM. S. Born in 1936. Recipient of the State Prize for Science and Technology in 1972. Corresponding member since 1978. Recipient of the SSSR State Prize in 1981. Awarded the V. M. Glushkov Prize for Cybernetics, Computer Machine and Systems Theory in 1986. Elected an academician in 1988.

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