Overview
- Provide comprehensive methods of economic data analysis and strategies for apply results to economic decision-making
- The presentation of several economic models utilizing real-world data illustrates how the described optimization techniques can be practical applied
- Helps the reader to better understand the crisis and post-crisis recovery processes in a transition economy
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 101)
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Table of contents (4 chapters)
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Optimization Models in a Transition Economy
Authors: Ivan V. Sergienko, Mikhail Mikhalevich, Ludmilla Koshlai
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-1-4899-7544-7
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Science+Business Media New York 2014
Hardcover ISBN: 978-1-4899-7543-0Published: 12 December 2014
Softcover ISBN: 978-1-4899-7888-2Published: 10 September 2016
eBook ISBN: 978-1-4899-7544-7Published: 11 December 2014
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: VIII, 334
Number of Illustrations: 33 b/w illustrations
Topics: Optimization