Results 71 to 80 of about 427,889 (308)
On strong λ-statistical convergence of sequences in probabilistic metric (pm) spaces [PDF]
arXiv, 2020 In this paper we study some basic properties of strong {\lambda}- statistical convergence of sequences in probabilistic metric (PM) spaces. We also introduce and study the notion of strong {\lambda}-statistically Cauchyness. Further introducing the notions of strong {\lambda}-statistical limit point and strong {\lambda}-statistical cluster point of a ...
arxiv
A review of artificial intelligence in brachytherapy
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen +4 more
wiley +1 more source
Strong convergence of some drift implicit Euler scheme. Application to the CIR process [PDF]
arXiv, 2012 We study the convergence of a drift implicit scheme for one-dimensional SDEs that was considered by Alfonsi for the Cox-Ingersoll-Ross (CIR) process. Under general conditions, we obtain a strong convergence of order 1. In the CIR case, Dereich, Neuenkirch and Szpruch have shown recently a strong convergence of order 1/2 for this scheme. Here, we obtain
arxiv
Claustrum Volume Is Reduced in Multiple Sclerosis and Predicts Disability
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective The claustrum is a small, thin structure of predominantly gray matter with broad connectivity and enigmatic function. Little is known regarding the impact of claustrum pathology in multiple sclerosis (MS). Methods This study assessed whether claustrum volume was reduced in MS and whether reductions were associated with specific ...
Nicole Shelley +5 more
wiley +1 more source
Strong Convergence of Generalized Projection Algorithms for Nonlinear Operators
Abstract and Applied Analysis, 2009 We establish strong convergence theorems for finding a common element of the zero point set of a maximal monotone operator and the fixed point set of two relatively nonexpansive mappings in a Banach space by using a new hybrid method.
Chakkrid Klin-eam +2 more
doaj +1 more source
A strong convergence to the Rosenblatt process [PDF]
arXiv, 2011 We give a strong approximation of Rosenblatt process via transport processes and we give the rate of convergence.
arxiv
Arthritis Care &Research, Accepted Article.As many patients with inflammatory arthritis (IA) have chronic pain, understanding how to best assess and manage pain in IA is a priority. Co‐morbid depression is prevalent in adults with IA, affecting 15 to 39% of people. Whilst pain and depression are thought to be associated in IA, this concept is largely based on cross‐sectional data.
Natasha Cox +3 more
wiley +1 more source
An extrapolated fixed-point optimization method for strongly convex smooth optimizations
AIMS MathematicsIn this work, we focused on minimizing a strongly convex smooth function over the common fixed-point constraints. We proposed an extrapolated fixed-point optimization method, which is a modified version of the extrapolated sequential constraint method ...
Duangdaw Rakjarungkiat, Nimit Nimana
doaj +1 more source
Strong Convergence of an Iterative Algorithm for Hierarchical Problems
Abstract and Applied Analysis, 2014 We introduce the triple hierarchical problem over the solution set of the variational inequality problem and the fixed point set of a nonexpansive mapping. The strong convergence of the algorithm is proved under some mild conditions.
Poom Kumam, Thanyarat Jitpeera
doaj +1 more source
Strong convergence theorem for Vilenkin-Fejér means [PDF]
arXiv, 2015 As main result we prove strong convergence theorems of Vilenkin-Fej\'er means when $0
arxiv