About: IPOPT

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IPOPT, short for "Interior Point OPTimizer, pronounced I-P-Opt", is a software library for large scale nonlinear optimization of continuous systems. It is written in Fortran and C and is released under the EPL (formerly CPL). IPOPT implements a interior point method, and uses line searches based on (Fletcher and Leyffer). IPOPT can be called from various modeling environments and C. IPOPT is part of the COIN-OR project.

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rdf:type	Thing software schema:CreativeWork work wikidata:Q386724 Software yago:WikicatOptimizationAlgorithmsAndMethods yago:Abstraction100002137 yago:Act100030358 yago:Activity100407535 yago:Algorithm105847438 yago:Event100029378 yago:Procedure101023820 yago:PsychologicalFeature100023100 yago:YagoPermanentlyLocatedEntity library yago:Rule105846932
rdfs:label	IPOPT (en) IPOPT (ja)
rdfs:comment	IPOPT（Interior Point OPTimizer、I-P-Opt と発音される）は、主双対内点法を利用した大規模（高次元）な連続最適化問題を解くライブラリである。C++で実装され、公開されているソースコードはEPLライセンスのもとで利用できる。 (ja) IPOPT, short for "Interior Point OPTimizer, pronounced I-P-Opt", is a software library for large scale nonlinear optimization of continuous systems. It is written in Fortran and C and is released under the EPL (formerly CPL). IPOPT implements a interior point method, and uses line searches based on (Fletcher and Leyffer). IPOPT can be called from various modeling environments and C. IPOPT is part of the COIN-OR project. (en)
foaf:name	IPOPT (en)
foaf:homepage	https://github.com/coin-or/Ipopt
name	IPOPT (en)
dcterms:subject	Optimization algorithms and methods Mathematical optimization software Numerical software
Wikipage page ID	2848660 (xsd:integer)
Wikipage revision ID	1087067538 (xsd:integer)
Link from a Wikipage to another Wikipage	Carnegie Mellon University Nonlinear optimization J. H. Wilkinson Prize for Numerical Software Library (computing) Common Public License Interior point method Quasi-Newton method General Algebraic Modeling System Mixed integer programming Linux MATLAB MacOS C++ COIN-OR C (programming language) Optimization algorithms and methods AMPL APMonitor Fortran AIMMS Mathematical optimization software Numerical software Eclipse Public License Hessian matrix Automatic differentiation Microsoft Windows Mathematical programming with equilibrium constraints Roger Fletcher (mathematician) Software BFGS method Sven Leyffer UNIX dbr:Filter_method_(optimization) dbr:Primal-dual_method
Link from a Wikipage to an external page	http://numero.cheme.cmu.edu/ https://projects.coin-or.org/Bonmin https://projects.coin-or.org/Ipopt http://www.mccormick.northwestern.edu/research-faculty/directory/profiles/waechter-andreas.html https://github.com/coin-or/Ipopt https://web.archive.org/web/20060622133403/http:/egon.cheme.cmu.edu/ibm/page.htm https://engineering.purdue.edu/ChE/people/ptProfile%3Fid=105202 https://www.informs.org/Recognizing-Excellence/Award-Recipients/Andreas-Wachter http://epubs.siam.org/sam-bin/getfile/SIOPT/articles/42908.pdf
sameAs	IPOPT IPOPT IPOPT IPOPT IPOPT
dbp:wikiPageUsesTemplate	dbt:Infobox_software dbt:More_citations_needed dbt:Multiple_issues dbt:Notability dbt:Reflist dbt:Start_date_and_age dbt:Compu-library-stub dbt:Mathematical_optimization_software
developer	Andreas Wächter, Carl Laird (en)
latest release date	2018-09-17 (xsd:date)
latest release version	3.120000 (xsd:double)
license	Eclipse Public License
operating system	Linux MacOS Microsoft Windows UNIX
released	2005-08-26 (xsd:date)
website	https://github.com/coin-or/Ipopt
has abstract	IPOPT, short for "Interior Point OPTimizer, pronounced I-P-Opt", is a software library for large scale nonlinear optimization of continuous systems. It is written in Fortran and C and is released under the EPL (formerly CPL). IPOPT implements a interior point method, and uses line searches based on (Fletcher and Leyffer). IPOPT can be called from various modeling environments and C. IPOPT is part of the COIN-OR project. IPOPT is designed to exploit 1st and 2nd derivative (Hessians) information if provided (usually via automatic differentiation routines in modeling environments such as AMPL). If no Hessians are provided, IPOPT will approximate them using a quasi-Newton methods, specifically a BFGS update. IPOPT was originally developed by Ph.D. student Andreas Wächter and Prof. Lorenz T. Biegler of the Department of Chemical Engineering at Carnegie Mellon University. Their work was recognized with the INFORMS Computing Society Prize in 2009. Arvind Raghunathan later created an extension to IPOPT for Mathematical programming with equilibrium constraints (MPEC) [1]. This version of IPOPT is generally known as IPOPT-C (with the 'C' standing for 'complementarity'). While in theory any mixed-integer program can be recast as an MPEC, it may or may not be solvable with IPOPT-C. Solution of MINLPs (Mixed-Integer Nonlinear Programs) using IPOPT is still being explored [2] [3]. Carl Laird and Andreas Wächter are the developers of IPOPT 3.0, which is a re-implementation of IPOPT in C++. Wächter and Laird were awarded the 2011 J. H. Wilkinson Prize for Numerical Software for this development. (en) IPOPT（Interior Point OPTimizer、I-P-Opt と発音される）は、主双対内点法を利用した大規模（高次元）な連続最適化問題を解くライブラリである。C++で実装され、公開されているソースコードはEPLライセンスのもとで利用できる。 (ja)
gold:hypernym	Library
prov:wasDerivedFrom	wikipedia-en:IPOPT?oldid=1087067538&ns=0
page length (characters) of wiki page	4392 (xsd:nonNegativeInteger)

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