# Fides - A python package for Trust Region Optimization
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## About Fides
Fides implements an Interior Trust Region Reflective for boundary constrained
optimization problems based on the papers
[ColemanLi1994](https://doi.org/10.1007/BF01582221) and
[ColemanLi1996](http://dx.doi.org/10.1137/0806023). Accordingly, Fides is named
after the Roman goddess of trust and
reliability.
Fides can be installed via `pip install fides`. Further documentation is
available at [Read the Docs](https://fides-optimizer.readthedocs.io/).
## Features
* Boundary constrained and unconstrained interior trust-region optimization
* Reflective, truncated and optimization based boundary heuristics
* Exact, 2D and CG subproblem solvers
* BFGS, DFP, SR1, Broyden (good and bad) and Broyden class iterative
Hessian Approximation schemes
* SSM, TSSM, FX, GNSBFGS and custom hybrid Hessian Approximations schemes
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"description": "# Fides - A python package for Trust Region Optimization\n\n<a href=\"https://badge.fury.io/py/fides\">\n <img src=\"https://badge.fury.io/py/fides.svg\" alt=\"PyPI version\"></a>\n<a href=\"https://codecov.io/gh/fides-dev/fides\">\n <img src=\"https://codecov.io/gh/fides-dev/fides/branch/master/graph/badge.svg\" alt=\"Code coverage\"></a>\n<a href=\"https://fides-optimizer.readthedocs.io/en/latest/?badge=latest\">\n <img src=\"https://readthedocs.org/projects/fides-optimizer/badge/?version=latest\" alt=\"ReadTheDocs status\"></a>\n<a href=\"https://zenodo.org/badge/latestdoi/312057973\">\n <img src=\"https://zenodo.org/badge/312057973.svg\" alt=\"DOI\"></a>\n\n## About Fides\n\nFides implements an Interior Trust Region Reflective for boundary constrained\noptimization problems based on the papers\n[ColemanLi1994](https://doi.org/10.1007/BF01582221) and\n[ColemanLi1996](http://dx.doi.org/10.1137/0806023). Accordingly, Fides is named\nafter the Roman goddess of trust and\nreliability.\n\nFides can be installed via `pip install fides`. Further documentation is\n available at [Read the Docs](https://fides-optimizer.readthedocs.io/).\n \n \n## Features\n\n\n* Boundary constrained and unconstrained interior trust-region optimization\n* Reflective, truncated and optimization based boundary heuristics\n* Exact, 2D and CG subproblem solvers\n* BFGS, DFP, SR1, Broyden (good and bad) and Broyden class iterative\n Hessian Approximation schemes\n* SSM, TSSM, FX, GNSBFGS and custom hybrid Hessian Approximations schemes\n\n",
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