Package: lp-solve-doc (5.5.2.5-2)
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Download Source Package lp-solve:
- [lp-solve_5.5.2.5-2.dsc]
- [lp-solve_5.5.2.5.orig-doc.tar.gz]
- [lp-solve_5.5.2.5.orig.tar.gz]
- [lp-solve_5.5.2.5-2.debian.tar.xz]
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External Resources:
- Homepage [lpsolve.sourceforge.net]
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Solve (mixed integer) linear programming problems - documentation
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 documentation for the lp_solve program and the library.
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| Architecture | Package Size | Installed Size | Files |
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