Zobrazeno 1 - 10
of 925
pro vyhledávání: '"Wang, Jiulin"'
Bilevel optimization provides a comprehensive framework that bridges single- and multi-objective optimization, encompassing various formulations, including standard nonlinear programs. This paper focuses on a specific class of bilevel optimization kn
Externí odkaz:
http://arxiv.org/abs/2409.08948
This paper studies a class of simple bilevel optimization problems where we minimize a composite convex function at the upper-level subject to a composite convex lower-level problem. Existing methods either provide asymptotic guarantees for the upper
Externí odkaz:
http://arxiv.org/abs/2402.05415
This paper investigates simple bilevel optimization problems where the upper-level objective minimizes a composite convex function over the optimal solutions of a composite convex lower-level problem. Existing methods for such problems either only gu
Externí odkaz:
http://arxiv.org/abs/2402.02155
Publikováno v:
In Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 15 October 2024 319
Autor:
Liu, Guan, Chen, Mingrui, Wang, Jiulin, Cui, Xinyuan, Wang, Kan, Yang, Ziyang, Gao, Ang, Zhang, Amin, Zhang, Qian, Shen, Yulan, Gao, Guo, Cui, Daxiang
Publikováno v:
In Sensors and Actuators: B. Chemical 1 September 2024 414
Publikováno v:
In Energy Storage Materials August 2024 71
Publikováno v:
In Nano Energy 15 December 2024 132
Generalized trust-region subproblem (GT) is a nonconvex quadratic optimization with a single quadratic constraint. It reduces to the classical trust-region subproblem (T) if the constraint set is a Euclidean ball. (GT) is polynomially solvable based
Externí odkaz:
http://arxiv.org/abs/2108.13729
The local nonglobal minimizer of trust-region subproblem, if it exists, is shown to have the second smallest objective function value among all KKT points. This new property is extended to $p$-regularized subproblem. As a corollary, we show for the f
Externí odkaz:
http://arxiv.org/abs/2108.07963
Publikováno v:
In Chemical Engineering Journal 1 June 2024 489