LPFML: A W3C XML Schema for Linear and Integer Programming

References

• AIMMS The AIMMS modeling language. (2003) (Paragon Decision Technology, B.V., Haarlem, The Netherlands) . http://www.aimms.com/aimms/product/modeling_language.htmlGoogle Scholar
• Anderson D. R., Sweeney D. J., Williams T. A.An Introduction to Management Science (1991) 6th ed.(West Publishing, St. Paul, MN) Google Scholar
• Bradley G. Introduction to extensible markup language (XML) with operations research examples. Newsletter INFORMS Comput. Soc. (2003) 24:1–20Google Scholar
• Bradley G. Network and graph markup language (NaGML)—data file formats. (2004) . Technical report NPS-OR-04-007, Department of Operations Research, Naval Postgraduate School, Monterey, CAGoogle Scholar
• Brooke A., Kendrick D., Meeraus A.GAMS, A User’s Guide (1988) (Scientific Press, Redwood City, CA) Google Scholar
• Chang T.-H. Modelling and presenting mathematical programs with xml:lp. (2003) . Masters thesis, Department of Management, University of Canterbury, Christchruch, New ZealandGoogle Scholar
• COIN (2003) . COIN LP, http://www.coin-or.org/Google Scholar
• Dash Optimization (2003a) . Xpress-Mosel, http://www.dashoptimization.com/pdf/mosel.pdfGoogle Scholar
• Dash Optimization (2003b) . Xpress-optimizer reference manual, http://computing.ee.ethz.ch/sepp/xpress-13b-et/optimizer/optimizer.pdfGoogle Scholar
• Dolan E. D., Fourer R., Moré J. J., Munson T. S. Optimization on the NEOS server. SIAM News (2002) 35(6):8–9Google Scholar
• Duff I. S., Erisman A. M., Reid J. K.Direct Methods for Sparse Matrices (1986) (Oxford University Press, New York) Google Scholar
• Ezechukwu O., Maros I. OOF: Open optimization framework. (2003) . Technical report ISSN 1469-4174, Department of Computing, Imperial College of London, London, UKGoogle Scholar
• Fink M.The Business and Economics of Linux and Open Source (2003) 1st ed.(Prentice Hall PTR, Upper Saddle River, NJ) Google Scholar
• Fourer R. Modeling languages versus matrix generators for linear programming. ACM Trans. Math. Software (1983) 9:143–183Crossref, Google Scholar
• Fourer R., Gay D., Kernighan B.AMPL: A Modeling Language for Mathematical Programming (1993) (Scientific Press, San Francisco, CA) Google Scholar
• Fourer R., Ma J., Martin K. OSiL: An instance language and API for optimization. (2004) . Technical report, Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, ILGoogle Scholar
• Gay D. M. Correctly rounded binary-decimal and decimal-binary conversions. (1990) . Numerical Analysis Manuscript No. 90-10, AT&T Bell Laboratories, Murray Hill, NJGoogle Scholar
• IBM (2003) . Passing your model using mathematical programming system (MPS) format, http://www-306.ibm.com/software/data/bi/osl/pubs/Library/featur11.htmGoogle Scholar
• ILOG (2003a) . ILOG CPLEX, http://www.ilog.com/products/cplex/Google Scholar
• ILOG (2003b) . ILOG tutorial, http://www.ilog.com/products/oplstudio/tutorial/index.cfmGoogle Scholar
• Kay M.XSLT Programmer’s Reference 3rd Edition (2004) (Wrox Press, Birmingham, UK) Google Scholar
• Kristjánsson B. (2001) . Optimization modeling in distributed applications: How new technologies such as XML and SOAP allow OR to provide web-based services, http://www.maximal-usa.com/slides/Svna01Max/index.htmGoogle Scholar
• Lopes L., Fourer B. An XML-based format for communicating optimization problems. (2001) Presented at INFORMS Annual MeetingMiami Beach, FLGoogle Scholar
• Ma J. Optimization services (OS), a general framework for optimization modeling systems. (2004) . Ph.D. dissertation, Department of Industrial Engineering and Management Sciences, Northwestern University, Evanston, ILGoogle Scholar
• Mairose L., Sweeney D., Martin K. Strategic planning in bank location. Proc. Amer. Inst. Decision Sci. (1979) Google Scholar
• Makhorin A. (2003) . GLPK (GNU linear programming kit), http://www.gnu.org/software/glpk/glpk.htmlGoogle Scholar
• Martin K. A modeling system for mixed integer linear programming using XML technologies. (2002) . Technical report, Graduate School of Business, University of Chicago, ILGoogle Scholar
• Maximal Software (2002) . MPL manual, http://www.maximal-usa.com/mplman/mplwtoc.htmlGoogle Scholar
• Moré J., Munson T., Sarich J. (2004) . NEOS optimization server, http://www-neos.mcs.anl.gov/neos/Google Scholar
• Mosek ApS (2003) . MOSEK, http://www.mosek.com/Google Scholar
• Murtagh B., Saunders M. MINOS 5.4 user’s guide. (1983) (Systems Optimization Laboratory SOL 83-20R, Stanford University, Stanford, CA) Crossref, Google Scholar
• OptiRisk Systems (2004) . Fortmp, http://www.optirisk-systems.com/Google Scholar
• O’Reilly (1999) . Science XML vocabularies, http://www.xml.com/pub/rg/ScienceGoogle Scholar
• Sandhu P.The MathML Handbook (2003) (Charles River Media, Hingham, MA) Google Scholar
• Schrage L.Optimization Modeling with LINDO (1997) 5th ed.(Brooks/Cole, Pacific Grove, CA) Google Scholar
• Schrage L.Optimization Modeling with LINGO (2000) (Lindo Systems, Inc., Chicago, IL) Google Scholar
• Skonnard A., Gudgin M.Essential XML Quick Reference (2002) (Pearson Education, Inc., Boston, MA) Google Scholar
• Soiffer N. MathML: A proposal for representing mathematics in HTML. ACM SIGSAM Bull. (1997) 31(3):44–45Crossref, Google Scholar
• Suciu D., Liefke H. (1999) . XMILL an efficient compressor for XML, http://www.research.att.com/sw/tools/xmill/Google Scholar
• Winston W.Operations Research Applications and Algorithms (1994) 3rd ed.(Duxbury Press, Belmont, CA) Google Scholar