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Optimization Models in a Transition Economy

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....

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Sergienko, Ivan V. (Autor), Mikhalevich, Mikhail (Autor), Koshlai, Ludmilla (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:Springer Optimization and Its Applications, 101
Temas:
Acceso en línea:Texto Completo
Descripción
Sumario: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.
Descripción Física:VIII, 334 p. 33 illus. online resource.
ISBN:9781489975447
ISSN:1931-6836 ;