Through popular implementation of structured query language (SQL) and query-by-example(QBE) relational databases have become the de-facto industry standard for data modelling.We consider the indices, sets, and the declarative form of Linear Programming (LP) modelling languages and introduce new constructs which provide direct link to the database systems. The models constructed in this way are data driven and display a dynamicstructure. We then show how this approach can be naturally extended to include column generation features stated in procedural forms within an otherwise declarative modelling paradigm
Column generation is a well-known and widely practiced technique for solving linear programs with to...
A Computer Assisted Mathematical Programming (Modelling) System (CAMPS) is described in this paper. ...
Following a general trend in artificial intelligence, the fields machine learning and data mining ha...
LP models are usually constructed using index sets and data tables which are closely related to the ...
This paper describes some rules for combining component models into complete linear programs. The ob...
Relational algebra and the industry standard SQL are core topic covered in un-dergraduate database c...
We propose relational linear programming, a simple framework for combing linear programs (LPs) and l...
This paper describes some rules for combining component models into complete linear programs. The ob...
Computational models of the real world often involve analyzing discrete points of data logically rep...
Most research in mathematical programming has been concerned with efficient computational algorithms...
Because of the difficulties often experienced in formulating and understanding large scale models, m...
At head of title: Center for Computational Research in Economics and Management Science
In this project report, I will discuss a Multiple Linear Programming Query (MLPQ) system and the the...
Geoffrion's structured modeling provides a very promising framework for the development of future mo...
Column generation is a well-known and widely practiced technique for solving linear programs with to...
Column generation is a well-known and widely practiced technique for solving linear programs with to...
A Computer Assisted Mathematical Programming (Modelling) System (CAMPS) is described in this paper. ...
Following a general trend in artificial intelligence, the fields machine learning and data mining ha...
LP models are usually constructed using index sets and data tables which are closely related to the ...
This paper describes some rules for combining component models into complete linear programs. The ob...
Relational algebra and the industry standard SQL are core topic covered in un-dergraduate database c...
We propose relational linear programming, a simple framework for combing linear programs (LPs) and l...
This paper describes some rules for combining component models into complete linear programs. The ob...
Computational models of the real world often involve analyzing discrete points of data logically rep...
Most research in mathematical programming has been concerned with efficient computational algorithms...
Because of the difficulties often experienced in formulating and understanding large scale models, m...
At head of title: Center for Computational Research in Economics and Management Science
In this project report, I will discuss a Multiple Linear Programming Query (MLPQ) system and the the...
Geoffrion's structured modeling provides a very promising framework for the development of future mo...
Column generation is a well-known and widely practiced technique for solving linear programs with to...
Column generation is a well-known and widely practiced technique for solving linear programs with to...
A Computer Assisted Mathematical Programming (Modelling) System (CAMPS) is described in this paper. ...
Following a general trend in artificial intelligence, the fields machine learning and data mining ha...