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https://arxiv.org/abs/1610.02415v1
Directly related to #52 and #53. Somewhat related to #45, #55, and #56. This preprint examines an autoencoder-based method for representing molecules with continuou…
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The package started as a particle swarm optimizer for discrete optimization. However, this doesn't mean that it cannot be extended for the original continuous spectrum without too much of a hassle.
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Hi, I am getting the following error when trying to solve the inverse problem (learning \lambda) using NeuralPDE.jl: "`KeyError: key λ not found`" and it points towards the line `@named pde_system = P…
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Kennedy and Eberhardt discrete version of PSO is different from the one implement today. There they suggested a mechanism that allowed the optimization of an unspecified selection size. Maybe this can…
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# Creating the Optimization Possibilities Loop (OPL)
In `sim-exchange` we have a standing queue where orders sit, waiting to be
matched via a price on demanded cash flows, given user parameters.
…
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a) Image Reconstruction/Enhancement
1) Image Transformation through Domains:
- Fourier Transform
- Discrete Fourier Transform
- Convolution Theorem and Filtering in Frequency Domain
- Discrete …
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Hi, I really admire your work, it is very useful for me.
I would like to know whether the library supports the multi-objective optimization when the search space is discrete i.e., the value x passed…
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## Summary
Degeneracy Hunter (https://github.com/IDAES/idaes-pse/blob/main/idaes/core/util/model_diagnostics.py) uses PyNumero to construct/analyze the Jacobian of an optimization problem. Passing …
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For differential equations there already are both methods for OD and DO, that deal with the fact that time is continuous.
But for infinite dimensional optimization problems the optimality criteria ca…
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Optimization based parameter estimation techniques such as MAP can use state discretization techniques such as multiple shooting to speed up the optimization.
But for MCMC based parameter estimation …