Network Economics: A Variational Inequality Approach

Network Economics: A Variational Inequality Approach
复制标题

DOI:
10.1007/978-94-011-2178-1
复制
发表时间:
1992-12
期刊:
--
影响因子:
--
通讯作者:
A. Nagurney
A. Nagurney
中科院分区:
其他
文献类型:
--
作者:
A. Nagurney

文献摘要

被引文献

相似文献

自1993年第一版《网络经济学:变分不等式方法》出版以来,无论是方法论的发展,还是在该领域的应用,都取得了许多进展。这些都是在全球经济日益网络化的环境中发生的,在这种环境中,运输网络和通信网络的重要性现在已经得到了充分的认识,知识网络,环境网络和金融网络等网络越来越受到关注。这个版本通过共同和统一的原则增加了网络经济学新的和不断发展的领域的最新研究进展。此外,它还包括交通,空间分离的市场,寡头垄断市场和金融市场的动态模型。为了扩大这一材料的范围和影响,我们还在附录中列入了一系列问题,供自学和课堂使用。我们注意到,计算经济学一直处于最前沿,刺激发展的数学方法来分析和解决复杂的,大规模的问题。特别是在过去的15年里,人们对这一领域的兴趣急剧增长。在数据日益增多和计算机体系结构进步的支持下,现在可以处理的问题的规模和层面正在为理论建模和政策分析开辟新的视野。
Since the publication of the first edition of Network Economics: A Variational Inequality Approach in 1993, there have been many ad vances in both methodological developments, as well as, applications in this field. These have occurred in an environment of an increasingly networked global economy, in which the importance of transportation networks and communication networks is now well-recognized, with net works such as knowledge networks, environmental networks, and finan cial networks receiving growing attention. This edition adds recent research progress in new and evolving ar eas of network economics through common and unifying principles. In addition, it includes dynamic models of traffic, of spatially separated markets, of oligopolistic markets, and of financial markets. In order to expand the range and reach of this material, we have also included a series of problems in an appendix for self-study purposes and for use in the classroom. We note that computational economics has been at the forefront in stimulating the development of mathematical methodologies for the analysis and solution of complex, large-scale problems. The past fifteen years, in particular, have witnessed a dramatic growth of interest in this area. Supported by the increasing availability of data and by advances in computer architectures, the scale and dimensions of problems that can now be handled are unveiling new horizons in both theoretical modeling and policy analysis.