Results 41 to 50 of about 111,305 (313)
On global minimizers of quadratic functions with cubic regularization [PDF]
In this paper, we analyze some theoretical properties of the problem of minimizing a quadratic function with a cubic regularization term, arising in many methods for unconstrained and constrained optimization that have been proposed in the last years ...
Cristofari, Andrea+2 more
core +2 more sources
An Improved Adaptive Trust-Region Method for Unconstrained Optimization
In this study, we propose a trust-region-based procedure to solve unconstrained optimization problems that take advantage of the nonmonotone technique to introduce an efficient adaptive radius strategy.
Hamid Esmaeili, Morteza Kimiaei
doaj +1 more source
An optimization model for zinc anodes centered on anion traction in a low‐concentration electrolyte system is proposed. The fluoride‐ion enriched interfacial layer on the zinc anode surface enhances the concentration of Zn2+ in a lateral direction through electrostatic forces, thereby facilitating horizontal zinc plating.
Yiyang Zhang+9 more
wiley +1 more source
A new heavy‐atom‐free, donor–acceptor‐type organoboron luminophore has been synthesized, which exhibits red room‐temperature phosphorescence (RTP) in the crystalline state. Furthermore, the amorphous solid generated by grinding shows green thermally activated delayed fluorescence (TADF), displaying distinct mechanochromic luminescence (MCL) through ...
Yohei Adachi+7 more
wiley +1 more source
In this paper, we investigate the application of signal‐to‐leakage‐plus‐noise ratio (SLNR) beamforming to low Earth orbit non‐terrestrial networks. The SLNR criterion aims at maximizing the received desired signal power for each user while minimizing the overall interference power caused by each user to all other co‐channel receivers. We show that such
M. Rabih Dakkak+3 more
wiley +1 more source
An important and difficult problem in optimization is the high-order unconstrained binary optimization, which can represent many optimization problems more efficiently than quadratic unconstrained binary optimization, but how to quickly solve it has ...
Bi-Ying Wang+5 more
doaj +1 more source
The Hybrid BFGS-CG Method in Solving Unconstrained Optimization Problems
In solving large scale problems, the quasi-Newton method is known as the most efficient method in solving unconstrained optimization problems. Hence, a new hybrid method, known as the BFGS-CG method, has been created based on these properties, combining ...
Mohd Asrul Hery Ibrahim+2 more
doaj +1 more source
Connected and automated vehicles (CAVs) provide the most intriguing opportunity to reduce pollution, energy consumption, and travel delays. In earlier work, we addressed the optimal coordination of CAVs using Hamiltonian analysis.
Mahbub, A M Ishtiaque+1 more
core +1 more source
A Linesearch Algorithm with Memory for Unconstrained Optimization [PDF]
This paper considers algorithms for unconstrained nonlinear optimization where the model used by the algorithm to represent the objective function explicitly includes memory of the past iterations. This is intended to make the algorithm less “myopic” in the sense that its behaviour is not completely dominated by the local nature of the objective ...
GOULD N.+3 more
openaire +4 more sources
Trustworthy Inverse Molecular Design via Alignment with Molecular Dynamics
Data‐driven inverse molecular design (IMD) is a promising approach to discovering new molecules with desired properties. Despite the remarkable progress, existing IMD methods lag behind in terms of trustworthiness, as indicated by their misalignment with the ground‐truth function that models the molecular dynamics.
Kevin Tirta Wijaya+3 more
wiley +1 more source