线性规划代码matlab
时间: 2023-09-19 22:06:24 浏览: 68
在Matlab中,解决线性规划问题的代码可以如下所示:
clc, clear
prob = optimproblem('ObjectiveSense', 'max')
c = [4;3];
b = [10;8;7];
a = [2,1;1,1;0,1];
lb = zeros(2,1);
x = optimvar('x',2,'LowerBound',0);
prob.Objective = c'*x;
prob.Constraints.con = a*x<=b;
[sol, fval, flage, out] = solve(prob);
sol.x
这段代码的功能是解决一个线性规划问题,其中c是目标函数的系数向量,b是约束条件的右侧向量,a是约束条件的系数矩阵。lb是变量的下界限制,x是优化变量。prob.Objective定义了目标函数,prob.Constraints定义了约束条件。通过solve函数求解问题,结果存储在sol中。sol.x显示了决策变量x的值。你可以根据自己的线性规划问题进行相应的修改和调整。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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