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When an `Array{Float64,2}` instead of a `Array{Float64,1}` is passed to the `optimize` function a `StackOverflowError` is thrown. A more helpful exception with a hint to the true reason for the error …
veita updated
7 years ago
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Related to #103, I've read some papers about the Nelder-Mead algorithm and implemented a variant called Adaptive Nelder-Mead Simplex (ANMS) algorithm.
You can find the package at https://github.com/bi…
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I figured I should update details in separate issues instead of the one big issue #200 .
I am planning to start off by testing on CUTEst unconstrained functions, through the CUTEst.jl package. I inst…
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http://docs.scipy.org/doc/scipy/reference/optimize.minimize-neldermead.html#optimize-minimize-neldermead
Lists xtol as the parameter which it should be xatol.
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This is about giving contextual help on impact functions from within the dock.
Maybe a small link next to the impact function combo.
Also expanded out from current list of impact functions (impact_fun…
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I have a prototype using NLopt to do the position fitting. It is so much more robust than the janky piece of code I wrote myself. I'm currently using the COBYLA algorithm for its support of equality c…
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In the past, Nelder-Mead was returning `f_converged` around [here](https://github.com/JuliaOpt/Optim.jl/blob/master/src/nelder_mead.jl#L225). Currently, Nelder-Mead returns gradient-converged in [this…
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**Use case:** `pmap` with a function that uses Optim within its body.
**Problem:**
Julia 0.4 `@time` results for pmap-call:
- single core time 3s, 2M allocations, 90MB, 0.57% gc time
- 8 cores time …
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Hi,
I'm trying out method.AUC and wanted to note two items:
1. It seems to always give an optim error about use "Brent":
``` r
Warning messages:
1: In optim(par = coef_init, fn = .cvRisk_AUC, Z = Z,…
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scipy.optimize.minimize() with method='Nelder-Mead' has maxiter and maxfev options to end optimization early. If either of them is unset then it gets set to 200 times the number of input variables. Fo…