| 书目名称 | Optimization Models in a Transition Economy |
| 编辑 | Ivan V. Sergienko,Mikhail Mikhalevich,Ludmilla Kos |
| 视频video | |
| 概述 | 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 h |
| 丛书名称 | Springer Optimization and Its Applications |
| 图书封面 |  |
| 描述 | .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.. |
| 出版日期 | Book 2014 |
| 关键词 | antimonopoly measures; financial stabilization models; labor market analysis; ordinal regression method |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4899-7544-7 |
| isbn_softcover | 978-1-4899-7888-2 |
| isbn_ebook | 978-1-4899-7544-7Series ISSN 1931-6828 Series E-ISSN 1931-6836 |
| issn_series | 1931-6828 |
| copyright | Springer Science+Business Media New York 2014 |
发表于 2025-3-21 16:23:03
