Results 81 to 90 of about 4,731,628 (237)
Large Scale Resource Allocation for the Internet of Things Network Based on ADMM
Large scale deployment of Internet of Things (IoT) devices poses challenges in resource allocation. In this paper, alternating direction method of multipliers (ADMM) is adopted to solve such large scale resource allocation problems.
Yanhua He +3 more
doaj +1 more source
Research on Multibeam Pattern Synthesis of Time Modulated Array Based on Convex Optimization
An efficient multibeam pattern synthesis method for time modulated array (TMA) is proposed in this paper. The aim of this method is to generate a beam pattern on the specified sideband of TMA. The pattern synthesis problem is divided into two stages.
Jiawen Hu +4 more
doaj +1 more source
Are Convex Optimization Curves Convex?
In this paper, we study when we might expect the optimization curve induced by gradient descent to be \emph{convex} -- precluding, for example, an initial plateau followed by a sharp decrease, making it difficult to decide when optimization should stop.
Barzilai, Guy +2 more
openaire +2 more sources
We considered a convex bilevel optimization problem when the outer level problem was to find a minimizer of a strongly convex function over the set of solutions of the inner level problem which was in the form of minimization of the sum of a convex ...
Adisak Hanjing +2 more
doaj +1 more source
This paper extends a result of isolated calmness for nuclear norm regularized convex optimization problems to Ky Fan $ k $-norm regularized convex optimization problems.
Ziran Yin +4 more
doaj +1 more source
Joint User Association and Beamforming Design for ISAC Networks With Large Language Models
Integrated sensing and communication (ISAC) has been envisioned to play a more important role in future wireless networks. However, the design of ISAC networks is challenging, especially when there are multiple communication and sensing (C&S ...
Haoyun Li +5 more
doaj +1 more source
This paper introduces constructing convex-relaxed programs for nonconvex optimization problems. Branch-and-bound algorithms are convex-relaxation-based techniques.
Keller André A.
doaj +1 more source
This paper proposes a convex quadratic optimization commutation method to raise the equalization degree of power loss distribution of coil array for magnetic levitation planar motors.
Shengguo Zhang +2 more
doaj +1 more source
Optimized Temporal Interference Stimulation Based on Convex Optimization: A Computational Study
Temporal interference (TI) stimulation is a non-invasive method targeting deep brain regions by applying two pairs of high-frequency currents with a slight frequency difference to the scalp.
Chao Geng +5 more
doaj +1 more source
Mathematical Modeling for Holistic Convex Optimization of Hybrid Trains [PDF]
Rabee Jibrin +2 more
openalex +1 more source

