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We can formulate the convex constraint `X is PSD` with a non-convex constraint using the Burer-Monteiro formulation
```
X = YYᵀ
```
This can be useful when we have non-convex optimization problem …
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I’d like to discuss something a bit heretical (repost from a Discord discussion with @SteveDiamond).
I recently had to solve a problem related to calculating accumulated rectangular areas and taki…
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The current implementation calls a different optimization routine depending on internal classification schemes
```julia
if model.has_nlp_constraints
@checked Lib.XPRSnlpoptimize(model.…
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Hello!
You can find it here: https://github.com/kayuksel/generative-opt
Just change the following lines for combinatorial optimization.
I also implemented Fast CMA-ES and Tabu Search in PyTor…
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Dear author, thank you for your excellent job!
But when I read your paper and code, I have encountered some problems.
1. The loss function in your code is not consistent with your paper:
Unified_…
ghost updated
3 years ago
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The MO-book uses many different solvers to tackle a large variety of optimization problems. Besides a brief introduction of what a solver is in [01/A Basic Pyomo Model](https://mobook.github.io/MO-boo…
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### Package Name/Version
cmaes/0.10.0
### Webpage
https://github.com/CMA-ES/libcmaes
### Source code
https://github.com/CMA-ES/libcmaes
### Description of the library/tool
From the Readme:
l…
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Hi everyone,
I would like to ask you if you are planning to implement the new oemof version 0.5.0 into the SESMG. Currently, I am modeling a district energy system with SESMG and some of the new fe…
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### Idea
We currently do not have optimization algorithms in stdlib. Having support for Linear Programming, Convex Optimization, Quadratic Programming, and/or Non-Linear Optimization algorithms wou…
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A very helpful optimization technique that is quite time efficient and even reduces space complexity. It proves to come in quite handy when the gradient descent seems to have a relatively fast learni…