A stabilized sequential quadratic semidefinite programming method for degenerate nonlinear semidefinite programs-Reference-Cited by-同舟云学术

A stabilized sequential quadratic semidefinite programming method for degenerate nonlinear semidefinite programs

Published:2022-09-16 Issue:3 Volume:83 Page:1027-1064
ISSN:0926-6003
Container-title:Computational Optimization and Applications
language:en
Short-container-title:Comput Optim Appl

Author:

Yamakawa Yuya^ORCID,Okuno Takayuki

Funder

非線形半正定値最適化理論の深化と機械学習への応用

非線形半正定値計画問題に対する高速かつ効率的手法の開発

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computational Mathematics,Control and Optimization

Link

https://link.springer.com/content/pdf/10.1007/s10589-022-00402-x.pdf

Reference40 articles.

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2. Andreani, R., Gómez, W., Haeser, G., Mito, L.M., Ramos, A.: On optimality conditions for nonlinear conic programming. Technical report. http://www.optimization-online.org/DB HTML/2020/03/7660.html (2020)

3. Andreani, R., Haeser, G., Viana, D.S.: Optimality conditions and global convergence for nonlinear semidefinite programming. Math. Program. 180, 203–235 (2020)

4. Boggs, P.T., Tolle, J.W.: Sequential quadratic programming. Acta Numer. 4, 1–51 (1995)

5. Correa, R., Ramírez, H.: A global algorithm for nonlinear semidefinite programming. SIAM J. Optim. 15(1), 303–318 (2004)

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