线性规划matlab7.0代码
时间: 2023-09-28 10:10:30 浏览: 43
Sure! Here's a simple example of linear programming code in MATLAB 7.0:
```matlab
% Define the objective function coefficients
f = [2, 3];
% Define the inequality constraints coefficients
A = [-1, 1; 3, 2];
b = [4; 12];
% Define the lower and upper bounds on the variables
lb = zeros(2, 1);
ub = [Inf; Inf];
% Solve the linear programming problem
[x, fval, exitflag] = linprog(f, A, b, [], [], lb, ub);
% Display the solution
disp('Optimal solution:');
disp(x);
disp('Optimal objective value:');
disp(fval);
```
In this example, we have a linear programming problem with two variables. The objective function is to maximize `2x1 + 3x2` subject to the constraints `-x1 + x2 <= 4` and `3x1 + 2x2 <= 12`. The variables are non-negative, so the lower bounds (`lb`) are set to zero. The upper bounds (`ub`) are set to infinity.
The `linprog` function is used to solve the linear programming problem. It takes the objective function coefficients (`f`), inequality constraints coefficients (`A` and `b`), and variable bounds (`lb` and `ub`) as parameters. The outputs are the optimal solution (`x`), the optimal objective value (`fval`), and the exit flag (`exitflag`) indicating the solver's status.
Hope this helps! Let me know if you have any more questions.