Advertisement

Methods of Optimization and Systems Analysis for Problems of Transcomputational Complexity

  • Ivan V. Sergienko

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

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Ivan V. Sergienko
    Pages 1-27
  3. Ivan V. Sergienko
    Pages 29-105
  4. Back Matter
    Pages 211-226

About this book

Introduction

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.

Keywords

development and applications of optimization methods economical cybernetics mathematical modeling of complicated processes solution of complicated combinatorial problems transcomputational problem

Authors and affiliations

  • Ivan V. Sergienko
    • 1
  1. 1., V.M. Glushkov Institute of CyberneticsNational Academy of Sciences of UkraineKievUkraine

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-4211-0
  • Copyright Information Springer Science+Business Media New York 2012
  • Publisher Name Springer, New York, NY
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4614-4210-3
  • Online ISBN 978-1-4614-4211-0
  • Series Print ISSN 1931-6828
  • Buy this book on publisher's site