Zobrazeno 1 - 10
of 446
pro vyhledávání: '"Sun, Defeng"'
In this paper, we introduce an HPR-LP solver, an implementation of a Halpern Peaceman-Rachford (HPR) method with semi-proximal terms for solving linear programming (LP). The HPR method enjoys the iteration complexity of $O(1/k)$ in terms of the Karus
Externí odkaz:
http://arxiv.org/abs/2408.12179
In this paper, we study the Aubin property of the Karush-Kuhn-Tucker solution mapping for the nonlinear semidefinite programming (NLSDP) problem at a locally optimal solution. In the literature, it is known that the Aubin property implies the constra
Externí odkaz:
http://arxiv.org/abs/2408.08232
This paper proposes an efficient HOT algorithm for solving the optimal transport (OT) problems with finite supports. We particularly focus on an efficient implementation of the HOT algorithm for the case where the supports are in $\mathbb{R}^2$ with
Externí odkaz:
http://arxiv.org/abs/2408.00598
Autor:
Sun, Maojun, Han, Ruijian, Jiang, Binyan, Qi, Houduo, Sun, Defeng, Yuan, Yancheng, Huang, Jian
We introduce ``LAMBDA," a novel open-source, code-free multi-agent data analysis system that that harnesses the power of large models. LAMBDA is designed to address data analysis challenges in complex data-driven applications through the use of innov
Externí odkaz:
http://arxiv.org/abs/2407.17535
Semismooth* Newton methods have been proposed in recent years targeting multi-valued inclusion problems and have been successfully implemented to deal with several concrete generalized equations. In this paper, we show that these executable implement
Externí odkaz:
http://arxiv.org/abs/2407.14215
This paper solves a fundamental open problem in variational analysis on the equivalence between the Aubin property and the strong regularity for nonlinear second-order cone programming (SOCP) at a locally optimal solution. We achieve this by introduc
Externí odkaz:
http://arxiv.org/abs/2406.13798
Real-time prediction plays a vital role in various control systems, such as traffic congestion control and wireless channel resource allocation. In these scenarios, the predictor usually needs to track the evolution of the latent statistical patterns
Externí odkaz:
http://arxiv.org/abs/2403.18320
In this paper, we aim to accelerate a preconditioned alternating direction method of multipliers (pADMM), whose proximal terms are convex quadratic functions, for solving linearly constrained convex optimization problems. To achieve this, we first re
Externí odkaz:
http://arxiv.org/abs/2403.18618
Unsupervised feature selection has drawn wide attention in the era of big data since it is a primary technique for dimensionality reduction. However, many existing unsupervised feature selection models and solution methods were presented for the purp
Externí odkaz:
http://arxiv.org/abs/2403.16966
Recently, a quaternion tensor product named Qt-product was proposed, and then the singular value decomposition and the rank of a third-order quaternion tensor were given. From a more applicable perspective, we extend the Qt-product and propose a nove
Externí odkaz:
http://arxiv.org/abs/2403.16480