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Informational Asymmetries and Observational Learning in Search
search learning experiment regret
2015/7/17
As economics modeling moves from super rational decision makers to considering boundedly rational agents,
some economic problems deserve a second look. This paper studies the effects of learning on t...
Abstract: We study the problem of navigating through a database of similar objects using comparisons. This problem is known to be strongly related to the small-world network design problem. However, c...
There exists a strong connection between numerical methods for the integration of ordinary differential equations and optimization problems. In this paper, we try to discover further their links. And ...
This paper presents a unified framework of the nonmonotone convex combinationalgorithms (such as Frank-Wolfe Algorithm) for solving the traffic assignmentproblems. Global convergence results are estab...
A NEW SUFFICIENT CONDITION FOR THE CONVERGENCE OF THE DFP ALGORITHM WITH WOLFE LINE SEARCH
Global convergence DFP algorithm Wolfe
2007/8/7
The DFP algorithm is one of the mest famous numerical algorithms for unconstrained optimization.It is an open problem whether DFP algorithm with inexact line searches is globally convergent. In this p...
期刊信息
篇名
On the Search for Sequences using A Neural Networks
语种
英文
撰写或编译
作者
Hu Fei
第一作者单位
刊物名称
Staged Technical Report For
页面
1996.10
出版日期
1996年
月
日
文章标识(ISSN)
相关项目
神经网络编码译码方法的研究