Optimization Models in a Transition Economy (Springer Optimization and Its Applications, 101, Band 101) - Hardcover

Über die Autorin bzw. den Autor

Ivan Sergienko is the director of the V.M. Glushkov Institute of Cybernetics of National Academy of Sciences of Ukraine. He received the State Prize for Science in Technology in 1972 and the SSSR State Prize in 1981. He was awarded the V. M. Glushkov Prize for Cybernetics, Computer Machine and Systems Theory in 1986, and elected an academician in 1988. He is the author of Springer titles "Methods of Optimization and Systems Analysis for Problems of Transcomputational Complexity" and "Optimal Control of Distributed Systems with Conjugation Conditions," and is also the editor of Springer journal "Cybernetics and Systems Analysis."

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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.