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Analyzed 5 days ago. based on code collected 3 months ago.

Project Summary

A Python environment for large and sparse linear and nonlinear optimization using intuitive interfaces to linear algebra tools and subproblem solvers written in low-level languages. It provides building blocks to experiment with new ideas and algorithms.

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In a Nutshell, NLPy...

This Project has No vulnerabilities Reported Against it

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Languages

Languages?height=75&width=75
Python
44%
C
29%
Fortran (Fixed-format)
10%
7 Other
17%

30 Day Summary

Jun 11 2019 — Jul 11 2019

12 Month Summary

Jul 11 2018 — Jul 11 2019

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