gurobi_solution_read, an Octave code which reads a file created by the optimization package GUROBI, representing the solution of a polyomino tiling problem, and writes out a simple ASCII file that MATLAB can read with the load() function.
For our problems, GUROBI reads an LP file defining an integer linear system, created by polyomino_monohedral_matrix() or polyomino_multihedral_matrix(), and then returns a solution in a file with a particular format. Once that file is converted by gurobi_solution_read(), the solution data can be read into MATLAB and printed or plotted.
Unlike CPLEX and SCIP, GUROBI only returns a single solution to the problem.
The computer code and data files described and made available on this web page are distributed under the MIT license
gurobi_solution_read is available in a MATLAB version and an Octave version and a Python version.
cplex_solution_read, an Octave code which extracts solution data from a CPLEX result file; CPLEX can be "fed" by an LP file created by POLYOMINO_MONOHEDRAL_MATRIX or POLYOMINO_MULTIHEDRAL_MATRIX, and the results can be displayed by POLYOMINO_MONOHEDRAL_TILING_PRINT or POLYOMINO_MULTIHEDRAL_TILING_PRINT.
gurobi, examples which call gurobi(), which is an mathematical programming package for optimization, solving problems in linear programming, mixed integer programming, and mixed integer quadratic programming.
polyominoes, an Octave code which defines, solves, and plots a variety of polyomino tiling problems, which are solved by a direct algebraic approach involving the reduced row echelon form (RREF) of a specific matrix, instead of the more typical brute-force or backtracking methods.
scip_solution_read, an Octave code which reads a file created by the integer programming package SCIP, representing the solution of a polyomino tiling problem, and writes out a simple ASCII file that can be read by load().