An Iterative Rank Penalty Method for Nonconvex Quadratically Constrained Quadratic Programs
Author:
Funder
National Science Foundation
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Applied Mathematics,Control and Optimization
Link
https://epubs.siam.org/doi/pdf/10.1137/17M1147214
Reference24 articles.
1. Lossless convexification of a class of optimal control problems with non-convex control constraints
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4. On convex relaxations for quadratically constrained quadratic programming
5. Local convergence analysis of a grouped variable version of coordinate descent
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