Tools to solve difficult numerical optimization problems.

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  • License: MIT License (MIT)
  • Author: Janos Gabler
  • Maintainer: Janos Gabler
  • Tags derivative free optimization, estimation, extremum estimation, finite differences, global optimization, inference, maximum likelihood, method of simulated moments, nonlinear optimization, numerical differentiation, optimization, parallel optimization, statistics
  • Requires: Python >=3.10
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Project description

estimagic (renamed to optimagic)

The project has been renamed to optimagic. The new repository is at https://github.com/optimagic-dev/optimagic/. This repository is used temporarily to release optimagic under the name estimagic.

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Avatar for janosg from gravatar.com janosg Avatar for timmens from gravatar.com timmens

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These details have not been verified by PyPI
Project links
Meta
  • License: MIT License (MIT)
  • Author: Janos Gabler
  • Maintainer: Janos Gabler
  • Tags derivative free optimization, estimation, extremum estimation, finite differences, global optimization, inference, maximum likelihood, method of simulated moments, nonlinear optimization, numerical differentiation, optimization, parallel optimization, statistics
  • Requires: Python >=3.10
Classifiers

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This version

0.5.0

0.5.0rc1 pre-release

0.4.7

0.4.6

0.4.5

0.4.4

0.4.3

0.4.2

0.4.1

0.4.0

0.3.4

0.3.3

0.3.2

0.3.1

0.3.0

0.2.4

0.2.3

0.2.2

0.2.1

0.2.0

0.0.1

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