lp-solve 5.5.0.13-7 source package in Ubuntu Linaro Evaluation Build

Changelog

lp-solve (5.5.0.13-7) unstable; urgency=low

  * move to "3.0 (quilt)" format; move downloaded docs into extra docs
    tarball and move change from 5.5.0.10-6 from only in .diff.gz (oops!)
    to proper patch
  * include headers needed for plugin libraries (closes: #555830), thanks
    Matthias Kümmerer
  * add ${misc:Depends} 
  * remove debian/watch (closes: #529154) 
 -- Ubuntu Archive Auto-Sync <email address hidden>   Fri,  18 Dec 2009 17:43:02 +0000

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Uploaded by:
Ubuntu Archive Auto-Sync
Uploaded to:
Lucid
Original maintainer:
Juan Esteban Monsalve Tobon
Architectures:
any
Section:
math
Urgency:
Low Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Oneiric based series for Ubuntu LEB release universe math

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Lucid: [FULLYBUILT] armel

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File Size SHA-256 Checksum
lp-solve_5.5.0.13.orig-docs.tar.gz 369.6 KiB 1d31b9b16f914372bc0e58c279fefabca279f3b665f21be8d83b418addd75509
lp-solve_5.5.0.13.orig.tar.gz 774.8 KiB 8714793ffc227c5d78b83acc8e409a68f6159d83bcf0af632a69887c97fe4155
lp-solve_5.5.0.13-7.debian.tar.gz 8.9 KiB 8d310fb4f08e62b2e96be176e8607ef70387ca69746f45489219afe8715a72b1
lp-solve_5.5.0.13-7.dsc 2.1 KiB 4b53606f4b46259c136f0ec56154e452e5184b015e775fb7214a3e4fe5c016f2

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Binary packages built by this source

liblpsolve55-dev: Solve (mixed integer) linear programming problems - library

 The linear programming (LP) problem can be formulated as: Solve A.x >=
 V1, with V2.x maximal. A is a matrix, x is a vector of (nonnegative)
 variables, V1 is a vector called the right hand side, and V2 is a vector
 specifying the objective function.
 .
 An integer linear programming (ILP) problem is an LP with the
 constraint that all the variables are integers. In a mixed integer
 linear programming (MILP) problem, some of the variables are integer
 and others are real.
 .
 The program lp_solve solves LP, ILP, and MILP problems. It is slightly
 more general than suggested above, in that every row of A (specifying
 one constraint) can have its own (in)equality, <=, >= or =. The result
 specifies values for all variables.
 .
 lp_solve uses the 'Simplex' algorithm and sparse matrix methods for
 pure LP problems. If one or more of the variables is declared
 integer, the Simplex algorithm is iterated with a branch and bound
 algorithm, until the desired optimal solution is found. lp_solve can
 read MPS format input files.
 .
 This package contains the static library for developing programs using
 liblpsolve.
 .
 Homepage http://www.geocities.com/lpsolve/

lp-solve: Solve (mixed integer) linear programming problems

 The linear programming (LP) problem can be formulated as: Solve A.x >=
 V1, with V2.x maximal. A is a matrix, x is a vector of (nonnegative)
 variables, V1 is a vector called the right hand side, and V2 is a vector
 specifying the objective function.
 .
 An integer linear programming (ILP) problem is an LP with the
 constraint that all the variables are integers. In a mixed integer
 linear programming (MILP) problem, some of the variables are integer
 and others are real.
 .
 The program lp_solve solves LP, ILP, and MILP problems. It is slightly
 more general than suggested above, in that every row of A (specifying
 one constraint) can have its own (in)equality, <=, >= or =. The result
 specifies values for all variables.
 .
 lp_solve uses the 'Simplex' algorithm and sparse matrix methods for
 pure LP problems. If one or more of the variables is declared
 integer, the Simplex algorithm is iterated with a branch and bound
 algorithm, until the desired optimal solution is found. lp_solve can
 read MPS format input files.
 .
 Homepage http://www.geocities.com/lpsolve/