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現状,最適化すべき目的関数を`steepest_descent.py`の中で定義しているが,この関数はあくまで最適化した結果を返すようにするべきだと思うので,目的関数の定義は呼び出すときに定義するように変更した方がよいと思う.
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We should implement additional optimization algorithms like:
- [ ] conjugate gradient
- [ ] L-BFGS
- [x] steepest descent + line search
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As far as I understand, the current stopping criterion used in pyamg is `norm(r_k) / norm(r_0) < eps`, where `eps` is specified with the `tol` parameter of the multigrid solver.
I understand that s…
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Grid conversion not working for psi.
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At the last two lines of your eight_queens_steepest_descent_optimizer, you can actually combine the two prints to get print('n =', n, ':', '\n', 'optimized board', steepest_descent_optimizer(n), '\n')…
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The *Model basics* section (23.1) says:
> But there’s a better way to tackle that problem: a numerical minimisation tool called Newton-Raphson search. The intuition of Newton-Raphson is pretty simp…
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* set_m is not working correctly - the spin values are set to (0, 0, 0) somewhere.
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Hello,
in order to be able to express parameter estimation tasks in SED-ML we need the capability of defining some optimization methods. Under:
KISAO_0000472:
Simulated Annealing
Random Sea…
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Might be as simple as making sure the target `test-ipynb` https://github.com/computationalmodelling/fidimag/blob/master/Makefile#L91 is run as part of the continuous integration on travis.
[This sh…
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Hello, I have been trying to geometry optimize >100 dimer pairs of organic molecules. I have a 60% success rate. I am struggling with the 40% that fail. I have tried using second order convergence and…