Linear, Integer and Nonlinear Programming models, algorithms and software systems for their solution as well as tools for modelling their industrial applications continue to be researched in academic and industrial contexts.
Developments in this field have come from many directions. The field of computational solution of large scale LP's has seen competition between the two groups specialising in Sparse Simplex and Interior Point Methods. As a result it has been enriched with applied research results and the emerging benchmarks for testing LP systems.
Use of computers with vector, paralell and distributed processors have brought new challenges and commensurate rewards in algorithm designs and their software realisations. Computational developments in nonlinear optimization systems and in integer programming systems which can now solve large applied problems are progressing the acceptance of Mathematical Programming in finance, energy studies, scheduling and many other applications.
The ability to create prototype models and investigate them are facilitated by well established modeling tools. The research issues and industrial experience of such modeling tools for user support will be discussed.
APMOD95 is the third in the series of successful events. The first took place in Brunel University, UK, January 1991, and the second in Budapest, Hungary, 1993. This series of events complements the triennial Mathematical Programming Symposia and has built up a good tradition: in particular they are followed by refereed publications and have been well liked by the participating scientists.
Contributions from all over the world are invited and solicited. The symposium is thus set out to attract specialists with different backgrounds such as hardware manufacturers, industrial research workers, software houses and academic researchers. The common theme drawing them together concerns the application of Mathematical Programming and modelling to solve large, difficult and real problems of industry and commerce.
Contributed abstracts (100 words): 31 January 1995 Acceptance of papers notified by: 14 February 1995 Extended abstracts (1000-1500 words): 15 March 1995 Submission of papers for refereed proceedings: 31 August 1995
Academic 175 GBP Industrial 350 GBP Exhibition 500-800 GBP
Lunch and preliminary proceedings included in the fee. Fees reduced by 25 GBP for members of sponsoring societies.
Brunel, The University of West London
Dept. of Mathematics and Statistics
Uxbridge, Middlesex, UB8 3PH
England
Tel: +44 1895 203275
Fax: +44 1895 203303
Email: molly.demmar@brunel.ac.uk
Maximal Software will be present at the APMOD95 meeting, as an exhibitor throughout the conference at the software exhibit. We will also make the following presentation in the Modeling System session:
Title: Using MPL for Windows with New Windows DLL Solvers and Direct Database Connection.
Over the last few years Graphical User Interfaces (GUI’'s) like Microsoft Windows and X/Motif have become dominant players in the personal computer and the workstation market. The open systems nature and multitasking capabilities of these systems allows us now to directly link modeling systems to solvers and databases. In this presentation we will demonstrate a new version of MPL for Windows that implements a complete model development environment within the Graphical User Interface.
Several solvers have recently become available for Windows including, among others, the new CPLEX Windows DLL. We will demonstrate how the tight integration of MPL and CPLEX allows us transparently access CPLEX solution algorithms directly from MPL’s pull-down menus and set options in user-friendly dialog boxes. We will also demonstrate how MPL can run DOS/386 solvers such as FortMP directly from the Windows environment.
We will also demonstrate how MPL for Windows can link directly with relational databases such as Paradox, FoxPro and Dbase. Relational databases have, through popular implementation of SQL and Query-by-Example become an industry standard for database systems. Special emphases will be given to how databases can be used to handle data management tasks for algebraic modeling systems and what effect this can have on maintaining large industrial models.
Finally, we will discuss the current state-of-the-art of windowing systems in mathematical programming and what impact these new developments are likely to have on modeling in the near future.
Speaker: Bjarni Kristjansson, Maximal Software, Inc.