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Mystic

Mystic: a framework for highly-constrained non-convex optimization and uncertainty quantification. Where possible, mystic optimizers share a common interface, and thus can be easily swapped without the user having to write any new code. Mystic solvers all conform to a solver API, thus also have common method calls to configure and launch an optimization job. For more details, see. The API also makes it easy to bind a favorite 3rd party solver into the mystic framework. Mystic is in the early development ...

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Mystic | trac.mystic.cacr.caltech.edu Reviews
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Mystic: a framework for highly-constrained non-convex optimization and uncertainty quantification. Where possible, mystic optimizers share a common interface, and thus can be easily swapped without the user having to write any new code. Mystic solvers all conform to a solver API, thus also have common method calls to configure and launch an optimization job. For more details, see. The API also makes it easy to bind a favorite 3rd party solver into the mystic framework. Mystic is in the early development ...
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Mystic | trac.mystic.cacr.caltech.edu Reviews

https://trac.mystic.cacr.caltech.edu

Mystic: a framework for highly-constrained non-convex optimization and uncertainty quantification. Where possible, mystic optimizers share a common interface, and thus can be easily swapped without the user having to write any new code. Mystic solvers all conform to a solver API, thus also have common method calls to configure and launch an optimization job. For more details, see. The API also makes it easy to bind a favorite 3rd party solver into the mystic framework. Mystic is in the early development ...

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Mystic

http://trac.mystic.cacr.caltech.edu/project/mystic

Mystic: a framework for highly-constrained non-convex optimization and uncertainty quantification. Where possible, mystic optimizers share a common interface, and thus can be easily swapped without the user having to write any new code. Mystic solvers all conform to a solver API, thus also have common method calls to configure and launch an optimization job. For more details, see. The API also makes it easy to bind a favorite 3rd party solver into the mystic framework. Mystic is in the early development ...

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Add mystic.math.Distribution; use it for InitialPoints? Automate windows build (ticket #127. Tag for the mystic-0.2a1 release. Updated citation, todo's from scipy pub. Moved multilogger code to scripts; log reader can stop at desired. For help on using the repository browser. Powered by Trac 0.12. And coffee, lots of coffee. This project is funded by. For more information, please visit. The mystic project homepage at. Http:/ www.cacr.caltech.edu/projects/mystic.

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Mystic

Mystic: a framework for highly-constrained non-convex optimization and uncertainty quantification. Where possible, mystic optimizers share a common interface, and thus can be easily swapped without the user having to write any new code. Mystic solvers all conform to a solver API, thus also have common method calls to configure and launch an optimization job. For more details, see. The API also makes it easy to bind a favorite 3rd party solver into the mystic framework. Mystic is in the early development ...

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