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ewu63 authored May 3, 2020
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[![Build Status](https://travis-ci.com/mdolab/pyoptsparse.svg?branch=master)](https://travis-ci.com/mdolab/pyoptsparse)
[![Coverage Status](https://coveralls.io/repos/github/mdolab/pyoptsparse/badge.svg?branch=master)](https://coveralls.io/github/mdolab/pyoptsparse?branch=master)
[![Documentation Status](https://readthedocs.com/projects/mdolab-pyoptsparse/badge/?version=latest)](https://mdolab-pyoptsparse.readthedocs-hosted.com/en/latest/?badge=latest)
[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black)

pyOptsparse is an object-oriented framework for formulating and solving nonlinear constrained optimization problems in an efficient, reusable, and portable manner.
It is a fork of pyOpt that uses sparse matrices throughout the code to more efficiently handle large-scale optimization problems.
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