软件包：lp-solve（5.5.2.5-2 以及其他的） [debports]
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.
其他与 lp-solve 有关的软件包
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- dep: libc6.1 (>= 2.37)
- GNU C 语言运行库：共享库
同时作为一个虚包由这些包填实： libc6.1-udeb
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- dep: libcolamd3 (>= 1:7.0.1)
- column approximate minimum degree ordering library for sparse matrices