A Method of Nonparametric Estimation of Unique Unknown Objective Function Using Sets of Constraint Condition and Corresponding Optimal Solution Data : The Case of Concave Programming with Linear Inequalities Constraint - Collections

＜departmental bulletin paper＞
A Method of Nonparametric Estimation of Unique Unknown Objective Function Using Sets of Constraint Condition and Corresponding Optimal Solution Data : The Case of Concave Programming with Linear Inequalities Constraint

Creator	Creator Name 前田, 幸嗣 Maeda, Koushi Affiliation Affiliation Name 農業計算学講座 Seminar of Econometric Analysis in Agriculture
Creator	Author PID K000332 Creator Name 川口, 雅正 Kawaguchi, Tsunemasa Affiliation Affiliation Name 農業計算学講座 Seminar of Econometric Analysis in Agriculture
Language	Japanese
Publisher	九州大學農學部
Publisher	Faculty of Agriculture, Kyushu University
Date	1999-11
Source Title	Science bulletin of the Faculty of Agriculture, Kyushu University
Vol	54
Issue	1/2
First Page	97
Last Page	102
Publication Type	Version of Record
Access Rights	open access
JaLC DOI	https://doi.org/10.15017/23637
Related DOI	九州大學農學部學藝雜誌 \|\| 54(1/2) \|\| p97-102
	Science bulletin of the Faculty of Agriculture, Kyushu University \|\| 54(1/2) \|\| p97-102
	http://www.agr.kyushu-u.ac.jp/
Related URI	九州大學農學部學藝雜誌 \|\| 54(1/2) \|\| p97-102
	Science bulletin of the Faculty of Agriculture, Kyushu University \|\| 54(1/2) \|\| p97-102
	http://www.agr.kyushu-u.ac.jp/
Relation	九州大學農學部學藝雜誌 \|\| 54(1/2) \|\| p97-102
	Science bulletin of the Faculty of Agriculture, Kyushu University \|\| 54(1/2) \|\| p97-102
	http://www.agr.kyushu-u.ac.jp/

File	FileType	Size	Views	Description
p097	pdf	507 KB	202

Record ID	23637
Peer-Reviewed	Unrefereed
ISSN	0368-6264
NCID	AN0005519X
Notes	In this paper, we present a nonparametric linear programming estimation method of unique unknown objective function in concave programming with linear inequalities constraint, using sets of constraint condition and corresponding optimal solution data. We also present a linear programming method of maximizing the estimated objective function under new constraint. A case study of simple experimental problem proves the usefulness of our methods. Finally, we show the implications of this paper and problems to be solved in the future.
Created Date	2012.07.31
Modified Date	2022.11.11