A relational model for the representation of mathematical programming models

Author

Choobineh, Joobin

Author_Institution

Dept. of Bus. Anal. & Res., Texas A&M Univ., College Station, TX, USA

Volume

iii

fYear

1992

fDate

7-10 Jan 1992

Firstpage

384

Abstract

A first order predicate calculus for the representation of mathematical optimization models is developed. It is shown that the relational scheme of a database can be inferred from the algebraic representation of the optimization models. More importantly, it is shown that the indices for an iterated operator can be inferred. This inference results in the reduction of syntactical burden on users of systems which will be based on this model. Assuming a relational representation of data, a relational model for the expression of constraints and objective functions of the optimization models is introduced

Keywords

database theory; inference mechanisms; mathematical programming; relational databases; algebraic representation; constraints; database; first order predicate calculus; indices; inference; iterated operator; mathematical optimization models; mathematical programming models; objective functions; relational model; relational scheme; representation; Calculus; Computer languages; Constraint optimization; Educational institutions; Logic; Mathematical model; Mathematical programming; Relational databases; Sensitivity analysis; Writing;

fLanguage

English

Publisher

ieee

Conference_Titel

System Sciences, 1992. Proceedings of the Twenty-Fifth Hawaii International Conference on

Conference_Location

Kauai, HI

Print_ISBN

0-8186-2420-5

Type

conf

DOI

10.1109/HICSS.1992.183508

Filename

183508