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Welcome to reg4opt

reg4opt is a Python implementation of operator regression and convex regression methods presented in the paper "OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression" by Nicola Bastianello, Andrea Simonetto, Emiliano Dall'Anese.

The documentation is available here.

Installation

reg4opt works on Python 3.7 and depends on: tvopt, numpy, scipy. To run the examples, cvxpy may also be needed.

pip installation

pip install reg4opt

Cite

TODO

Author

reg4opt is developed by Nicola Bastianello under the supervision of Andrea Simonetto and Emiliano Dall'Anese

Project details

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This version

0.1.0

May 27, 2021

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