[x,fval,exitflag,output,lambda] = quadprog(H,f,[],[],Aeq,beq); 结果分析 检查终点、函数值和退出标志。 x,fval,exitflag x =2×1 -0.8000 0.8000 fval = -1.6000 exitflag = 1 退出标志为1表示结果是局部最小值。由于H是正定矩阵,此问题为凸型,因此最小值是全局最小值。 通过检查特征值,确认H...
exitflag); % 根据 exitflag 的值执行相应的错误处理逻辑 switch exitflag case -1 error('The algorithm did not converge.'); case -2 error('The problem is unbounded.'); case -3 error('No feasible point found.'); % 可以根据需要添加更多 case 语句来处理其他可能的 exitflag 值 otherwise error...
得到了所有的参数,将参数输入MATLAB,编程如下:(代码是直接在Command Window中一行一行录入的,所以每行前面有符号“>>”) >> H = [1-1; -12];>> f = [-2; -6];>> A = [11; -12;21];>> b = [2;2;3];>> lb = [0;0];>> [x,fval,exitflag,output,lambda] = quadprog(H,f,A,b,...
>> b = [2; 2; 3];>> lb = [0; 0];>> [x,fval,exitflag,output,lambda] = quadprog(H,f,A,b,[],[],lb)输出以下结果：Warning: Large-scale algorithm does not currently solve this problem formulation,using medium-scale algorithm instead.> In quadprog at 291 Optimization terminated.x =...
exitflag = 1 output = iterations: 2 constrviolation: 0 algorithm: 'medium-scale: active-set' firstorderopt: [] cgiterations: [] message: 'Optimization terminated.' lambda = lower: [2x1 double] upper: [2x1 double] eqlin: [0x1 double] ineqlin: [2x1 double] 输出中的warning说明 quadpr...
2.Set the options to use the 'active-set' algorithm with no display:opts = optimset('Algorithm','active-set','Display','off'); 设置选项 3.Call quadprog:[x,fval,exitflag,output,lambda] = ...quadprog(H,f,A,b,[],[],lb,[],[],opts); 使用优化函数quadprog 4.Exami...
Examine the final point, function value, and exit flag. Get x,fval,exitflag x = 2×1 -0.8000 0.8000 fval = -1.6000 exitflag = 1 An exit flag of 1 means the result is a local minimum. Because H is a positive definite matrix, this problem is convex, so the minimum is a glo...
[x, fval, exitflag, output] = quadprog(H, A, [], [], [], [], lb, [], [], options); %唯一 需要运算的函数elapsedTime = toc;% 结束循环内计时并获取消耗时间disp(['Execution time for iteration ', num2str(i), ': ', num2str(elapsedTime)]);endelapsedTime2 = toc; % 结束整体...
n解:把二次规划问题写成标准形式:(1/2)XTHX+fTX 这里:H= 1 -1 f= -2 X= x1 -1 2 -6 x2 nH=[1 -1;-1 2]; f=[-2;-6]; A=[1 1;-1 2;2 1]; b=[2;2;3]; lb=zeros(2,1); [x,fval,exitflag,output,lambda]=quadprog(H,f,A,b,[],[],lb)...
求解优化问题 1.线性优化 注:linprog的表达式必须是<= 实例2: 2.非线性优化 [x,fval,exitflag,output]=fmincon[目标函数f(x)调用,x的初值,A Task1:线性规划 整数规划 非线性规划 二次规划 法3.3 Matlab 求约束极值问题 在Matlab 优化工具箱中,用于求解约束最优化问题的函数有:fminbnd、fmincon、 quadprog...