lp.m
% Copyright 2016, Gurobi Optimization, Inc. % % This example formulates and solves the following simple LP model: % maximize % x + 2 y + 3 z % subject to % x + y <= 1 % y + z <= 1 % clear model; model.A = sparse([1 1 0; 0 1 1]); model.obj = [1 2 3]; model.modelsense = 'Max'; model.rhs = [1 1]; model.sense = [ '<' '<']; result = gurobi(model) disp(result.objval); disp(result.x); % Alterantive representation of A - as sparse triplet matrix i = [1; 1; 2; 2]; j = [1; 2; 2; 3]; x = [1; 1; 1; 1]; model.A = sparse(i, j, x, 2, 3); clear params; params.method = 2; params.timelimit = 100; result = gurobi(model, params); disp(result.objval); disp(result.x)
