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A library for nonlinear optimization written in Fortran. A library for nonlinear optimization written in Fortran. A low-level Python interface to Cbc, Clp, and Cgl. A Package for Automatic Differentiation of Algorithms Written in C/C. A Templatized C Framework with Python Bindings for Heuristic Search. Algebraic modeling library in C. Algorithms for K shortest paths. ApplicableInstances: An R library that can help improve synthetic instance sets. BuildTools - Visual Studio. BuildTools 0.5 Trac Archive.

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A library for nonlinear optimization written in Fortran. A library for nonlinear optimization written in Fortran. A low-level Python interface to Cbc, Clp, and Cgl. A Package for Automatic Differentiation of Algorithms Written in C/C. A Templatized C Framework with Python Bindings for Heuristic Search. Algebraic modeling library in C. Algorithms for K shortest paths. ApplicableInstances: An R library that can help improve synthetic instance sets. BuildTools - Visual Studio. BuildTools 0.5 Trac Archive.

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1 available projects

2 a branch and cut system

3 bonmin

4 branch and cut architecture

5 branch cut price framework

6 buildtools

7 c algorithmic differentiation

8 coin graph classes

9 coin base

10 coin or binary distributions

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Available Projects | projects.coin-or.org Reviews

https://projects.coin-or.org

A library for nonlinear optimization written in Fortran. A library for nonlinear optimization written in Fortran. A low-level Python interface to Cbc, Clp, and Cgl. A Package for Automatic Differentiation of Algorithms Written in C/C. A Templatized C Framework with Python Bindings for Heuristic Search. Algebraic modeling library in C. Algorithms for K shortest paths. ApplicableInstances: An R library that can help improve synthetic instance sets. BuildTools - Visual Studio. BuildTools 0.5 Trac Archive.

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projects.coin-or.org

1

A Package for Automatic Differentiation of Algorithms Written in C/C++

https://projects.coin-or.org/ADOL-C

Welcome to the ADOL-C home page. The package ADOL-C ( A. Facilitates the evaluation of first and higher derivatives of vector functions that are defined by computer programs written in C or C . The resulting derivative evaluation routines may be called from C/C , Fortran, or any other language that can be linked with C. The numerical values of derivative vectors are obtained free of truncation errors at a small multiple of the run time and randomly accessed memory of the given function evaluation program.

2

C Library for Semidefinite Programming

https://projects.coin-or.org/Csdp

CSDP, A C Library for Semidefinite Programming. Detailed descriptions of CSDP and its parallel version can be found in the following papers. CSDP, A C Library for Semidefinite Programming. Optimization Methods and Software 11(1):613-623, 1999. CSDP 2.3 User's Guide. Optimization Methods and Software 11(1):597-611, 1999. B Borchers and J. G. Young. Implementation of a primal dual method for SDP on a shared memory parallel architecture. Computational Optimization and Applications 37(3):355-369, 2007. Coino...

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COIN-OR Events

https://projects.coin-or.org/Events

This page is a list of COIN-OR events and conference activities. The events listing were moved to a wiki in 2007 to allow people to more easily include their COIN-OR activities on the web. Your posts are welcome. The 2015 Annual Report. Is now under construction. Please contribute to the News section, and fix any errors that you notice while you're there. Will take place on Saturday, January 10. The day before the start of the 2015. INFORMS Computing Society Biennial Meeting. The 2013 Annual Report.

4

metslib - Revision 167: /

https://projects.coin-or.org/svn/metslib

Metslib - Revision 167: /.

5

OBOE

https://projects.coin-or.org/OBOE

Welcome to the OBOE home page. Note that these project webpages are based on Wiki, which allows webusers to modify the content to correct typos, add information, or share their experience and tips with other users. You are welcome to contribute to these project webpages. To edit these pages or submit a ticket you must first. To implement OBOE on a typical problem of convex optimization such as "min {f(x) x in X}" the user must implement an oracle with the following specification:. Output from the Oracle:.

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A library for nonlinear optimization written in Fortran. A library for nonlinear optimization written in Fortran. A low-level Python interface to Cbc, Clp, and Cgl. A Package for Automatic Differentiation of Algorithms Written in C/C. A Templatized C Framework with Python Bindings for Heuristic Search. Algebraic modeling library in C. Algorithms for K shortest paths. ApplicableInstances: An R library that can help improve synthetic instance sets. BuildTools - Visual Studio. BuildTools 0.5 Trac Archive.

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