A Novel Optimization Method for Nonconvex Quadratically Constrained Quadratic Programs
This paper presents a novel optimization method for effectively solving nonconvex quadratically constrained quadratic programs (NQCQP) problem. By applying a novel parametric linearizing approach, the initial NQCQP problem and its subproblems can be transformed into a sequence of parametric linear p...
Saved in:
Main Authors: | Hongwei Jiao, Yong-Qiang Chen, Wei-Xin Cheng |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2014-01-01
|
Series: | Abstract and Applied Analysis |
Online Access: | http://dx.doi.org/10.1155/2014/698489 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Global Optimization Algorithm for Generalized Quadratic Programming
by: Hongwei Jiao, et al.
Published: (2013-01-01) -
Robust Linear Neural Network for Constrained Quadratic Optimization
by: Zixin Liu, et al.
Published: (2017-01-01) -
Study on Stochastic Linear Quadratic Optimal Control with Quadratic and Mixed Terminal State Constraints
by: Yang Hongli
Published: (2013-01-01) -
On Clustering Detection Based on a Quadratic Program in Hypergraphs
by: Qingsong Tang
Published: (2022-01-01) -
Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates
by: Roulet, Vincent, et al.
Published: (2024-11-01)