lp.m
lp()函数% 2023年版权,Gurobi优化,LLC % %狗万app足彩这个例子中制定和解决以下简单的lp模型:%最大化% x + 2 y + 3 z %, % x + y < = 1% y + z < = 1%的模型。一个=稀疏([1 1 0;0 1 1]);模型。obj = (1 2 3);模型。modelsense =“Max”;模型。rhs = [1];模型。感觉= [' < ' ' < '); 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
