Zobrazeno 1 - 10
of 2 418
pro vyhledávání: '"quasi-newton method"'
Autor:
Yulin Cheng, Jing Gao
Publikováno v:
AIMS Mathematics, Vol 9, Iss 9, Pp 25232-25252 (2024)
In this paper, an augmented memoryless BFGS quasi-Newton method was proposed for solving unconstrained optimization problems. Based on a new modified secant equation, an augmented memoryless BFGS update formula and an efficient optimization algorithm
Externí odkaz:
https://doaj.org/article/89889ce2aeda4af7b808d7e76537fbc8
Publikováno v:
Chinese Journal of Magnetic Resonance, Vol 41, Iss 2, Pp 128-138 (2024)
In recent years, Halbach magnet has been extensively used in miniaturized NMR spectrometers. However, the inhomogeneity of the magnetic field of permanent magnets poses a challenge to passive shimming method. In this paper, we conducted a passive shi
Externí odkaz:
https://doaj.org/article/9c909fe4039a4b8fbcfc3d3022201575
Publikováno v:
Tongxin xuebao, Vol 45, Pp 90-100 (2024)
To address the issues of ineffective task offloading decisions caused by multitasking and resource constraints in vehicular networks, the Quasi-Newton method deep reinforcement learning dual-phase online offloading (QNRLO) algorithm was proposed. The
Externí odkaz:
https://doaj.org/article/1774ebc0685e4841ba1e36c922683b58
Autor:
Zhang Hongsheng, Deng Ze
Publikováno v:
Jixie chuandong, Vol 48, Pp 93-101 (2024)
In order to solve the problem of waste lithium-ion battery recycling, a robot end-effector is designed to carry the battery weight and adapt to different sizes in the process of sorting. In this study, each mechanism of the end-effector is introduced
Externí odkaz:
https://doaj.org/article/b3fd97c1871d461c9f9aba1b662dd057
Publikováno v:
Baghdad Science Journal, Vol 21, Iss 6 (2024)
In this paper, two modifications for spectral quasi-Newton algorithm of type BFGS are imposed. In the first algorithm, named SQNEI, a certain spectral parameter is used in such a step for BFGS algorithm differs from other presented algorithms. The se
Externí odkaz:
https://doaj.org/article/7598932403ba4f47b77afd9606f9ca2c
Autor:
Xiao-Jing Wang, Zhen-Sheng Yu
Publikováno v:
IEEE Access, Vol 12, Pp 181533-181543 (2024)
In this paper, we introduce a novel approach to solve the vector projection problem under linear equality and cardinality constraints, termed the Quasi-Newton Lagrangian method. This approach employs a Lagrangian transformation to address linear equa
Externí odkaz:
https://doaj.org/article/8d52c7d42bed404c9f37fc361268462e
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 4663-4673 (2024)
This article presents an optimization-based approach to overcome redundancy arising from the multivariables enumeration process in multiple signal classification (MUSIC). By incorporating Broyden–Fletcher–Goldfarb–Shanno (BFGS) optimization, th
Externí odkaz:
https://doaj.org/article/a40130cd09d24f13a3f9fbe75207e346
Autor:
Caiming Lin, Xinyi He
Publikováno v:
Symmetry, Vol 16, Iss 7, p 821 (2024)
We propose a portfolio optimization method with a multi-trend objective and an accelerated quasi-Newton method (MTO-AQNM). It leverages a BFGS-based quasi-Newton algorithm and incorporates an ℓ1 regularization term and the self-funding constraint.
Externí odkaz:
https://doaj.org/article/da9e796df5914290846e6946ae26650d
Publikováno v:
Axioms, Vol 13, Iss 4, p 240 (2024)
In this article, we consider the correction of metric matrices in quasi-Newton methods (QNM) from the perspective of machine learning theory. Based on training information for estimating the matrix of the second derivatives of a function, we formulat
Externí odkaz:
https://doaj.org/article/222f5f454fae4a1ebe1abb8f07501a61