Package: lp-solve (5.5.2.11-2) [debports]
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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.
Other Packages Related to lp-solve
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- dep: libc6 (>= 2.38)
- GNU C Library: Shared libraries
also a virtual package provided by libc6-udeb
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- dep: libcolamd3 (>= 1:7.0.1)
- column approximate minimum degree ordering library for sparse matrices
Download lp-solve
Architecture | Package Size | Installed Size | Files |
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hppa (unofficial port) | 284.2 kB | 735.0 kB | [list of files] |