Solving linear system with constraints

2022 12 5
2 个回答
更新时间：2022 12 5
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You only need to focus on lines '12' and below. For reference, the above vectors are part of a math problem I wanted to see how to "automate."
I would like to assign '35' a variable that finds the maximum value such that the largest value of 'ans' is equal to 105. I am new to MatLab and require logic associated with each step if possible. Thank you in advance.

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回答（2 个）

Askic V
Askic V 2022-12-5
编辑：Askic V 2022-12-5
Ran in:

1 个投票

Ran in:
In order people to help you, insert your code instead of screenshot. Please use code tags shown here:
Regarding the question you asked, please have a look at this example:
rng('default')
v = randi(100, 1, 15)
v = 1×15
82 91 13 92 64 10 28 55 96 97 16 98 96 49 81
% returns max element in v and its index
[m,ind] = max(v)
m = 98
ind = 12
Torsten
Torsten 2022-12-5
Ran in:

1 个投票

Ran in:
x0 = 2;
sol = fmincon(@obj,x0,[],[],[],[],[],[],@nonlcon)
Local minimum found that satisfies the constraints. Optimization completed because the objective function is non-decreasing in feasible directions, to within the value of the optimality tolerance, and constraints are satisfied to within the value of the constraint tolerance.
sol = 35.0000
function value = obj(x)
value = -x;
end
function [c, ceq] = nonlcon(x)
B = [0 1500 0];
BC = [0 1 0];
D = [-200 0 500];
E = [500 0 500];
BD = (D-B)/norm(D-B);
BE = (E-B)/norm(E-B);
matrix = [BD ;BE ;BC].';
matrix2 = [0; 0; x];
ans = matrix\matrix2;
c = max(ans) - 105;
ceq = [];
end

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提问:

Matthew
Matthew
2022-12-5

回答：

Torsten
Torsten
2022-12-5

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