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Optimization Models in a Transition Economy

  • Ivan V. Sergienko
  • Mikhail Mikhalevich
  • Ludmilla Koshlai

Part of the Springer Optimization and Its Applications book series (SOIA, volume 101)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Ivan V. Sergienko, Mikhail Mikhalevich, Ludmilla Koshlai
    Pages 1-69
  3. Ivan V. Sergienko, Mikhail Mikhalevich, Ludmilla Koshlai
    Pages 71-159
  4. Ivan V. Sergienko, Mikhail Mikhalevich, Ludmilla Koshlai
    Pages 161-260
  5. Ivan V. Sergienko, Mikhail Mikhalevich, Ludmilla Koshlai
    Pages 261-334

About this book

Introduction

This book opens new avenues in understanding mathematical models within the context of a  transition economy. The exposition lays out the methods for combining different mathematical structures and tools to effectively build the next model that will accurately reflect real world economic processes. Mathematical modeling of weather phenomena allows us to forecast certain essential weather parameters without any possibility of changing them. By contrast, modeling of transition economies gives us the freedom to not only predict changes in important indexes of all types of economies, but also to influence them more effectively in the desired direction. Simply put: any economy, including a transitional one, can be controlled.

This book is useful to anyone who wants to increase profits within their business, or improve the quality of their family life and the economic area they live in. It is beneficial for undergraduate and graduate students specializing in the fields of Economic Informatics, Economic Cybernetics, Applied Mathematics and Large Information Systems, as well as for professional economists, and employees of state planning and statistical organizations.

Keywords

antimonopoly measures financial stabilization models labor market analysis ordinal regression methods software development

Authors and affiliations

  • Ivan V. Sergienko
    • 1
  • Mikhail Mikhalevich
    • 2
  • Ludmilla Koshlai
    • 3
  1. 1.V.M. Glushkov Institute of CyberneticsNational Academy of Sciences of UkraineKievUkraine
  2. 2.V.M. Glushkov Institute of CyberneticsNational Academy of Sciences of UkraineKievUkraine
  3. 3.V.M. Glushkov Institute of CyberneticsNational Academy of Sciences of UkraineKievUkraine

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4899-7544-7
  • Copyright Information Springer Science+Business Media New York 2014
  • Publisher Name Springer, Boston, MA
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-1-4899-7543-0
  • Online ISBN 978-1-4899-7544-7
  • Series Print ISSN 1931-6828
  • Series Online ISSN 1931-6836
  • Buy this book on publisher's site