Works matching IS 09266003 AND DT 2025 AND VI 91 AND IP 1

Results: 10

A symmetric version of the generalized Chambolle-Pock-He-Yuan method for saddle point problems: A symmetric version of the generalized Chambolle-Pock...: F. Ma et al.

Published in:

Computational Optimization & Applications, 2025, v. 91, n. 1, p. 1, doi. 10.1007/s10589-025-00671-2

By:

Ma, Feng;
Li, Si;
Zhang, Xiayang

Publication type:

Article

Speeding up L-BFGS by direct approximation of the inverse Hessian matrix: Speeding up L-BFGS by direct approximation...: A. Sadeghi-Lotfabadi, K. Ghiasi-Shirazi.

Published in:

Computational Optimization & Applications, 2025, v. 91, n. 1, p. 283, doi. 10.1007/s10589-025-00665-0

By:

Sadeghi-Lotfabadi, Ashkan;
Ghiasi-Shirazi, Kamaledin

Publication type:

Article

Quadratic convex reformulations for a class of complex quadratic programming problems: Quadratic convex reformulations...: C. Lu et al.

Published in:

Computational Optimization & Applications, 2025, v. 91, n. 1, p. 125, doi. 10.1007/s10589-025-00672-1

By:

Lu, Cheng;
Kang, Gaojian;
Qu, Guangtai;
Deng, Zhibin

Publication type:

Article

The ω-condition number: applications to preconditioning and low rank generalized Jacobian updating: The ω-condition number: applications to preconditioning and low...: W. L. Jung et al.

Published in:

Computational Optimization & Applications, 2025, v. 91, n. 1, p. 235, doi. 10.1007/s10589-025-00669-w

By:

Jung, Woosuk L.;
Torregrosa-Belén, David;
Wolkowicz, Henry

Publication type:

Article

Inertial accelerated stochastic mirror descent for large-scale generalized tensor CP decomposition: Inertial accelerated stochastic mirror descent for large-scale...: Z. Liu et al.

Published in:

Computational Optimization & Applications, 2025, v. 91, n. 1, p. 201, doi. 10.1007/s10589-025-00668-x

By:

Liu, Zehui;
Wang, Qingsong;
Cui, Chunfeng;
Xia, Yong

Publication type:

Article

On a family of relaxed gradient descent methods for strictly convex quadratic minimization: On a family of relaxed gradient descent methods...: L. MacDonald et al.

Published in:

Computational Optimization & Applications, 2025, v. 91, n. 1, p. 173, doi. 10.1007/s10589-025-00670-3

By:

MacDonald, Liam;
Murray, Rua;
Tappenden, Rachael

Publication type:

Article

Proximal gradient method for convex multiobjective optimization problems without Lipschitz continuous gradients: Proximal gradient method for convex multiobjective...: X. Zhao et al.

Published in:

Computational Optimization & Applications, 2025, v. 91, n. 1, p. 27, doi. 10.1007/s10589-025-00663-2

By:

Zhao, Xiaopeng;
Raushan, Ravi;
Ghosh, Debdas;
Yao, Jen-Chih;
Qi, Min

Publication type:

Article

On the well-posedness of tracking Dirichlet data for Bernoulli free boundary problems: On the well-posedness of tracking Dirichlet data for...: W. Gong, L. Liu.

Published in:

Computational Optimization & Applications, 2025, v. 91, n. 1, p. 311, doi. 10.1007/s10589-025-00662-3

By:

Gong, Wei;
Liu, Le

Publication type:

Article

Finding search directions in quasi-Newton methods for minimizing a quadratic function subject to uncertainty.

Published in:

Computational Optimization & Applications, 2025, v. 91, n. 1, p. 145, doi. 10.1007/s10589-025-00661-4

By:

Peng, Shen;
Canessa, Gianpiero;
Ek, David;
Forsgren, Anders

Publication type:

Article

On a globally convergent semismooth* Newton method in nonsmooth nonconvex optimization: On a globally convergent semismooth* Newton method in...: H. Gfrerer.

Published in:

Computational Optimization & Applications, 2025, v. 91, n. 1, p. 67, doi. 10.1007/s10589-025-00658-z

By:

Gfrerer, Helmut

Publication type:

Article