Skip to content
Free planNo credit card requiredStart writing

article · SIAM Journal on Optimization · 2013

A Quadratically Constrained Quadratic Optimization Model for Completely Positive Cone Programming

Naohiko Arima, Sunyoung Kim, Masakazu Kojima

Cited by 22Abstract and details only

Abstract

We propose a class of quadratic optimization problems which can be reformulated by completely positive cone programming with the same optimal values. The objective function can be any quadratic form. The constraints of each problem are described in terms of quadratic forms with no linear terms, and all constraints are homogeneous equalities, except one inhomogeneous equality where a quadratic form is set to be a positive constant. For the equality constraints, “a hierarchy of copositvity” condition is assumed. This model is a generalization of the standard quadratic optimization problem of minimizing a quadratic form over the standard simplex, and covers many of the existing quadratic optimization problems studied for exact copositive cone and completely positive cone programming relaxations. In particular, it generalizes the recent results on quadratic optimization problems by Burer and the set-semidefinite representation by Eichfelder and Povh [Optim. Lett., 7 (2013), pp. 1373--1386].

Cite this paper

APA 7

Arima, N., Kim, S., & Kojima, M. (2013). A Quadratically Constrained Quadratic Optimization Model for Completely Positive Cone Programming. SIAM Journal on Optimization, 23(4), 2320–2340. https://doi.org/10.1137/120890636

MLA 9

Arima, Naohiko, et al. “A Quadratically Constrained Quadratic Optimization Model for Completely Positive Cone Programming.” SIAM Journal on Optimization, vol. 23, no. 4, 2013, pp. 2320–40, https://doi.org/10.1137/120890636.

Chicago

Arima, Naohiko, Sunyoung Kim, and Masakazu Kojima. 2013. “A Quadratically Constrained Quadratic Optimization Model for Completely Positive Cone Programming.” SIAM Journal on Optimization 23 (4): 2320–40. https://doi.org/10.1137/120890636.

Harvard

Arima, N., Kim, S. and Kojima, M. (2013) ‘A Quadratically Constrained Quadratic Optimization Model for Completely Positive Cone Programming’, SIAM Journal on Optimization, 23(4), pp. 2320–2340. Available at: https://doi.org/10.1137/120890636.

BibTeX
@article{arima2013quadratically,
  title = {{A Quadratically Constrained Quadratic Optimization Model for Completely Positive Cone Programming}},
  author = {Arima, Naohiko and Kim, Sunyoung and Kojima, Masakazu},
  journal = {SIAM Journal on Optimization},
  volume = {23},
  number = {4},
  pages = {2320--2340},
  year = {2013},
  doi = {10.1137/120890636}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.