Solve for an unknown matrix like solve() for dimension one
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syms d
eqn = d^2 - 9 == 0;
sol = solve(eqn, d)
The above is a method of 'solving' in dimension one. Solve() wouldn't work
May I know the option(s) of 'solving' in multi-dimensions, especially when we have diagonal matrices? An example is provided below:
eqn2 = D^(-3) + D^(-2)*W1 + W2 == zeros(n)
where D, W1 and W2 are diagonal matrices and n is the length of D. D is positive. If W1 and W2 are known, how can we solve for D?
PS: I checked the fminunc family but they for optimization (minimum solvers).
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Torsten
le 28 Oct 2023
D = sym('D',[2 2]);
eqn = D*[1 4;-3 5] == [1 7;9 -12];
solve(eqn)
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Sulaymon Eshkabilov
le 28 Oct 2023
This exercise can be also simulated/solved by this way:
N=3; % Dimension
syms d [N N]
Eqn = d*randi(10, N)==randi(10,N);
SOL = solve(Eqn, d)
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