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https://github.com/nfultz/pylrqp

Low Rank Quadratic Programming
https://github.com/nfultz/pylrqp

optimization python quadratic-programming

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Low Rank Quadratic Programming

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# PyLRQP - Low Rank Quadratic Programming

This package provides a python version of the LowRankQP R package[1];
only the cholesky based method has been ported.

There is one function in this package:


def LowRankQP(Vmat, dvec, Amat, bvec, uvec)

Solves min α'Vα - α'd subject to Aα = b and 0 ≤ α ≤ u

Vmat - p x p symmetric matrix
dvec - p x 1 vector
Amat - p x k matrix
bvec - k x 1 vector
uvec - p x 1 vector

[1] https://cran.r-project.org/web/packages/LowRankQP/index.html