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Ipopt (Interior Point OPTimizer, pronounced eye-pea-Opt) is a software package for large-scale nonlinear optimization. Ipopt is written in C++ and is released as open source code under the Eclipse Public License (EPL). It is available from the COIN-OR initiative. The code has been written by Carl Laird and Andreas Wächter, who is the COIN project leader for Ipopt. The Ipopt distribution can be used to generate a library that can be linked to one's own C++, C, or Fortran code, as well as a solver executable for the AMPL modeling environment. The package includes interfaces to CUTEr optimization testing environment, as well as the MATLAB and R programming environments. IPOPT can be used on Linux/UNIX, Mac OS X and Windows platforms. An excellent reference for this library can be found in: Wächter and L. T. Biegler, On the Implementation of a Primal-Dual Interior Point Filter Line Search Algorithm for Large-Scale Nonlinear Programming, Mathematical Programming 106(1), pp. 25-57, 2006 WWW: https://projects.coin-or.org/Ipopt PR: 168290 Submitted by: Pedro F. Giffuni <pfg@FreeBSD.org>
23 lines
1.0 KiB
Plaintext
23 lines
1.0 KiB
Plaintext
Ipopt (Interior Point OPTimizer, pronounced eye-pea-Opt) is a software
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package for large-scale nonlinear optimization.
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Ipopt is written in C++ and is released as open source code under the
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Eclipse Public License (EPL). It is available from the COIN-OR
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initiative. The code has been written by Carl Laird and Andreas Wchter,
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who is the COIN project leader for Ipopt.
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The Ipopt distribution can be used to generate a library that can be
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linked to one's own C++, C, or Fortran code, as well as a solver
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executable for the AMPL modeling environment. The package includes
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interfaces to CUTEr optimization testing environment, as well as the
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MATLAB and R programming environments. IPOPT can be used on Linux/UNIX,
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Mac OS X and Windows platforms.
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An excellent reference for this library can be found in:
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Wachter and L. T. Biegler, On the Implementation of a Primal-Dual Interior
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Point Filter Line Search Algorithm for Large-Scale Nonlinear Programming,
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Mathematical Programming 106(1), pp. 25-57, 2006
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WWW: https://projects.coin-or.org/Ipopt
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