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### Describe your issue.
I have a weird issue with `minimize()`, or I understand the tolerance parameters wrong. The documentation is unclear on this, but I assume the stop condition is fulfilled i…
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I've been using hyperopt and optuna for a while, very curious to see if any of the other optimizers do better, although honestly my use cases may be pretty simple and I suspect not that much differenc…
druce updated
3 years ago
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Hi,
I am litteraly going crazy with Scipy.minimize.
I am simply trying to fit a certain list to a set of parameters representing a bezier curve.
My input is the "curveToFitArray". I have an ini…
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Add tags for minimizers (e.g. LM, Nelder-Mead, etc) allowing users to compare similar methods across fitting software. Include information about which algorithm types are useful for particular purpose…
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I followed the instruction in github to import types of ansatz from _openfermioncirq.varional_ , but it reports the fault:
ModuleNotFoundError: No module named 'openfermion.ops._givens_rotations'
…
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Currently `scipy.optimize.minimize` provides no gradient-free optimization schemes for bounded problems. Nelder-Mead is perhaps the most frequently used such algorithm, and it can work with bounds too…
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Currently something like this doesn't work
```julia
julia> f(a) = (a[0]-1)^2 + (a[1] - 2)^2
f (generic function with 1 method)
julia> optimize(f, ones(0:1))
ERROR: BoundsError: attempt to acc…
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This is a suggestion for a backwards-incompatible change, so that's probably for SciPy 2.0.
All scipy optimization methods evaluate the objective function at points of shape `(n,)`, even if the ini…
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Hi Tim!
I'm getting some curious results from the lt_single_mx function.
The below two very similar mortality schedules are from Lee-Carter extrapolations (MortCast) for two adjacent time periods …
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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…