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

页码：420 / 429

页数：10

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