A hybrid gradient method for strictly convex quadratic programming
Author:
Affiliation:
1. Computer Science Department Mathematics Research Center, CIMAT A.C. Guanajuato Mexico
Publisher
Wiley
Subject
Applied Mathematics,Algebra and Number Theory
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/nla.2360
Reference22 articles.
1. Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems
2. Quadratic programming and machine learning‐large scale problems and sparsity;Loosli G;Optimisation in Signal and Image Processing,2009
3. Algorithms for bound constrained quadratic programming problems;Moré JJ;Numer Math,1989
4. Gradient Method with Retards and Generalizations
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