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arXiv · 2408.13420

PySLSQP: A transparent Python package for the SLSQP optimization algorithm modernized with utilities for visualization and post-processing

Anugrah Jo Joshy·John T. Hwang
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Abstract

PySLSQP is a seamless interface for using the SLSQP algorithm from Python. It wraps the original SLSQP Fortran code sourced from the SciPy repository and provides a host of new features to improve the research utility of the original algorithm. Some of the additional features offered by PySLSQP include auto-generation of unavailable derivatives using finite differences, independent scaling of the problem variables and functions, access to internal optimization data, live-visualization, saving optimization data from each iteration, warm/hot restarting of optimization, and various other utilities for post-processing.

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Anugrah Jo Joshy, John T. Hwang. 2024-08-24. PySLSQP: A transparent Python package for the SLSQP optimization algorithm modernized with utilities for visualization and post-processing. https://arxiv.org/abs/2408.13420

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