ebook img

Dr. Ampl - Northwestern University PDF

78 Pages·2004·1.69 MB·English
by  
Save to my drive
Quick download
Download
Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.

Preview Dr. Ampl - Northwestern University

Dr. Ampl A Meta Solver for Optimization Dominique Orban Bob Fourer École Polytechnique de Montréal Northwestern University [email protected] [email protected] DominiqueOrban,May21,2004 TheDrAmplmetasolver-p.1/36 n Current software challenges n The NEOS Server n The AMPL modeling language n The DrAmpl meta solver n Numerical results n Future directions of research Outline lOutline n Numerical Optimization lNumericalOptimization Software Modelanalysis TheDAG Bounds Convexity Classification Preprocessing Solverchoice Finalnotes DominiqueOrban,May21,2004 TheDrAmplmetasolver-p.2/36 n The NEOS Server n The AMPL modeling language n The DrAmpl meta solver n Numerical results n Future directions of research Outline lOutline n Numerical Optimization lNumericalOptimization n Current software challenges Software Modelanalysis TheDAG Bounds Convexity Classification Preprocessing Solverchoice Finalnotes DominiqueOrban,May21,2004 TheDrAmplmetasolver-p.2/36 n The AMPL modeling language n The DrAmpl meta solver n Numerical results n Future directions of research Outline lOutline n Numerical Optimization lNumericalOptimization n Current software challenges Software n The NEOS Server Modelanalysis TheDAG Bounds Convexity Classification Preprocessing Solverchoice Finalnotes DominiqueOrban,May21,2004 TheDrAmplmetasolver-p.2/36 n The DrAmpl meta solver n Numerical results n Future directions of research Outline lOutline n Numerical Optimization lNumericalOptimization n Current software challenges Software n The NEOS Server Modelanalysis TheDAG n The AMPL modeling language Bounds Convexity Classification Preprocessing Solverchoice Finalnotes DominiqueOrban,May21,2004 TheDrAmplmetasolver-p.2/36 n Numerical results n Future directions of research Outline lOutline n Numerical Optimization lNumericalOptimization n Current software challenges Software n The NEOS Server Modelanalysis TheDAG n The AMPL modeling language Bounds n The DrAmpl meta solver Convexity Classification Preprocessing Solverchoice Finalnotes DominiqueOrban,May21,2004 TheDrAmplmetasolver-p.2/36 n Future directions of research Outline lOutline n Numerical Optimization lNumericalOptimization n Current software challenges Software n The NEOS Server Modelanalysis TheDAG n The AMPL modeling language Bounds n The DrAmpl meta solver Convexity n Numerical results Classification Preprocessing Solverchoice Finalnotes DominiqueOrban,May21,2004 TheDrAmplmetasolver-p.2/36 Outline lOutline n Numerical Optimization lNumericalOptimization n Current software challenges Software n The NEOS Server Modelanalysis TheDAG n The AMPL modeling language Bounds n The DrAmpl meta solver Convexity n Numerical results Classification n Future directions of research Preprocessing Solverchoice Finalnotes DominiqueOrban,May21,2004 TheDrAmplmetasolver-p.2/36 Numerical Optimization A general problem, representable in a modeling language may lOutline lNumericalOptimization be written as Software Modelanalysis TheDAG minimize f(x) objective Bounds subject to cL c(x) cU general constraints Convexity (cid:20) (cid:20) xL x xU explicit bounds Classification (cid:20) (cid:20) Preprocessing Solverchoice where f : Rn R; c : Rn Rm 2: Finalnotes ! ! 2 C Bounds may be equal or infinite, some c (x) may be linear. i DominiqueOrban,May21,2004 TheDrAmplmetasolver-p.3/36 Current software challenges lOutline n Myriad of solvers available for most classes of optimization lNumericalOptimization problems Software lCurrentsoftwarechallenges n Competing solvers designed to tackle the same class of lConsequences lMoresoftwarechallenges problems, with varying subtelties lTheNEOSOptimizationServer lTheAMPLmodelinglanguage n Competing general-purpose solvers lSometypicalAMPLcommands lDrAmplisametasolver n Competing free and commercial codes Modelanalysis n Competing modeling languages and environments TheDAG n Often, solvers have limited compatibility with modeling Bounds environments or interfaces do not exist Convexity Classification Preprocessing Solverchoice Finalnotes DominiqueOrban,May21,2004 TheDrAmplmetasolver-p.4/36

Description:
Dominique Orban, May 21, 2004 The DrAmpl meta solver - p. 1/36 Dr. Ampl A Meta Solver for Optimization Dominique Orban École Polytechnique de Montréal
See more

The list of books you might like

Most books are stored in the elastic cloud where traffic is expensive. For this reason, we have a limit on daily download.