Newton methods for solving nonlinear
显示 更早的评论
Please help me fix this code programe
main()
function main()
X0 = [25; 20; 4; 1];
% Áp dụng phương pháp Newton
X = newtons_method(X0)
% Hiển thị kết quả
disp('Kết quả:')
disp(['Nhiệt độ nước lớn nhất là: ', num2str(X(1))]);
end
function F = equations(X)
F = [X(1) - (X(2) + 0.5 * X(3) - 0.2 * X(4));
X(2) - 20;
X(3) - 5;
X(4) - 2];
end
function J = jacobian(X)
J = [1, -0.5, -0.1, 0.2;
0, 1, 0, 0;
0, 0, 1, 0;
0, 0, 0, 1];
end
function X = newtons_method(X0)
% Phương pháp Newton
max_iterations = 100;
tolerance = 1e-6;
X = X0;
for i = 1:max_iterations
F = equations(X);
J = jacobian(X);
delta_X = -J \ F;
X = X + delta_X;
if norm(delta_X, inf) < tolerance
break;
end
end
end
8 个评论
Torsten
2023-11-15
Ok, the first row of your Jacobian is wrong and your system of equations is a linear one so that you could have solved it easier than with Newton's method, but the iteration converges. So what exactly is your question ?
Khai
2023-11-15
Khai
2023-11-15
Torsten
2023-11-15
We have enough problems in the world - why inventing a new one ?
John D'Errico
2023-11-15
Your "solver" works. At least it does on the trivial example problem you chose, which is purely linear, so it will "converge" in one iteration. So where is the problem?
Khai
2023-11-16
Khai
2023-11-16
回答(0 个)
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