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Hey,
I noticed that the GaussianProcess.optimize_hyperparameters() method can move the parameters into regions where the covariance matrix is not invertible. I think this is because of the lack of in…
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# Curve-fitting — Engineering Systems Optimization
[https://teachbooks.tudelft.nl/engineering-systems-optimization/pages/Unconstrained_optimization_example_2.html](https://teachbooks.tudelft.nl/eng…
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https://github.com/JuliaSmoothOptimizers/CUTEst.jl is a set of nonlinear optimization problems. We should use those to setup benchmarks between the optimizers, splitting between constrained and uncons…
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Luksan - Matonoha - Vlček test set
Sparse Test Problems for Unconstrained Optimization
Ladislav Luksan, Ctirad Matonoha, Jan Vlček
https://www.researchgate.net/publication/325314400_Sparse_Test_P…
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three other algorithms: Bi-AC, MACPO, and MAPPO-LI’ve been exploring the CSQ and CS-MADDPG algorithms in your repository, and I’m impressed by their performance. However, I noticed that the baseline a…
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**Bug description**
I'm trying to run a partitioned analysis of morphological data (with separate partitions for binary, unordered multistate, and ordered multistate characters, and with proportion…
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The recent overhaul of our mode estimation interface breaks things for Pathfinder. @sethaxen raised this on Slack, I'll paste here what he said:
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>Pathfinder does a bit more than just call the opti…
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Bug 1: Rstard should be defined as (1 + Rstarn/100) * bstar
Proof: Rstarn was defined as 100 * (rstar*pistar-1) and used in measurement equations for short-term and long-term nominal interest rates a…
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We do optimization in the unconstrained space. When this eventually gets mapped back to the constrained space, the values can be numerically unstable if the parameters in the unconstrained space are v…
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Hi, I'm writing to ask if qio can be also available and used for parctical engineering problems.
Best!