matlab+yalmip

Matlab和YALMIP是一种用于数学建模和优化的工具。使用Matlab和YALMIP可以方便地进行数学建模和求解优化问题。下面是一个使用Matlab和YALMIP求解优化问题的示例代码：

% 导入YALMIP库
addpath(genpath('YALMIP路径'))

% 定义变量
x = sdpvar(n, 1); % 决策变量x
w = sdpvar; % 不确定变量w

% 约束条件
C = \[x + w <= 2\]; 

% 不确定集
W = \[-0.5 <= w <= 0.5, uncertain(w)\];

% 目标函数
objective = -x;

% 求解模型
sol = optimize(C + W, objective);

% 获取结果
obj = -value(objective); % 目标函数取值
x_value = value(x); % 决策变量x取值

关于Matlab和YALMIP的安装过程，可以参考链接：\[https://blog.csdn.net/robert_chen1988/article/details/44464369\](https://blog.csdn.net/robert_chen1988/article/details/44464369)。
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