lp.m
该示例公式并解决以下简单的lp模型:% maximize % x狗万app足彩 + 2 y + 3 z % subject to % x + y <= 1% y + z <= 1%模型。A = sparse([1 10 0;0 1 1]);模型。Obj = [1 2 3];模型。modelsense =“Max”;模型。RHS = [1 1];模型。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); % Set some parameters params.method = 2; params.timelimit = 100; result = gurobi(model, params); disp(result.objval); disp(result.x) end
