Solving Large Scale Quadratic Constrained Basis Pursuit

04/02/2021
by   Jirong Yi, et al.
0

Inspired by alternating direction method of multipliers and the idea of operator splitting, we propose a efficient algorithm for solving large-scale quadratically constrained basis pursuit. Experimental results show that the proposed algorithm can achieve 50  100 times speedup when compared with the baseline interior point algorithm implemented in CVX.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
12/29/2014

An ADMM algorithm for solving a proximal bound-constrained quadratic program

We consider a proximal operator given by a quadratic function subject to...
research
07/01/2019

The Constrained L_p-L_q Basis Pursuit Denoising Problem

In this paper, we consider the constrained L_p-L_q basis pursuit denoisi...
research
04/04/2014

Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion

In this paper, we propose an efficient and scalable low rank matrix comp...
research
10/02/2017

Large-Scale Quadratically Constrained Quadratic Program via Low-Discrepancy Sequences

We consider the problem of solving a large-scale Quadratically Constrain...
research
09/09/2019

An Efficient Algorithm for Multiple-Pursuer-Multiple-Evader Pursuit/Evasion Game

We present a method for pursuit/evasion that is highly efficient and and...
research
08/16/2023

SCQPTH: an efficient differentiable splitting method for convex quadratic programming

We present SCQPTH: a differentiable first-order splitting method for con...
research
04/07/2017

"RAPID" Regions-of-Interest Detection In Big Histopathological Images

The sheer volume and size of histopathological images (e.g.,10^6 MPixel)...

Please sign up or login with your details

Forgot password? Click here to reset