Efficient interpretation of large-scale real data by static inverse optimization

被引：0
|
作者：
Zhang, H [1 ]
Ishikawa, M [1 ]
机构：
[1] Kyushu Inst Technol, Grad Sch Life Sci & Syst Engn, Kitakyushu, Fukuoka 8080196, Japan
来源：
RECENT DEVELOPMENT IN THEORIES & NUMERICS | 2003年
关键词：
D O I：
10.1142/9789812704924_0040
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
We have proposed a method for static inverse optimization to interpret real data from a viewpoint of optimization. In this paper we propose an efficient method for generating constrains by divide-and-conquer to interpret large-scale real data by static inverse optimization. To evaluate its effectiveness, simulation experiments are carried out by using rented housing data (about 4,000 samples) with 4 attributes. Criterion functions for deciding housing of tenants living along Yamanote and Soubu-Chou lines in Tokyo are estimated.
引用
收藏
页码：420 / 429
页数：10
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