Results 61 to 70 of about 76,322 (245)

A novel global optimization algorithm based on the smoothing function

open access: yesMATEC Web of Conferences, 2017
In this paper, a new global optimization algorithm based on the smoothing function is suggested. Firstly, one of the minimizer x*1 of the smooth function F is found by employing any local minimizer finder, then the function m(x, x*1) := min{F(x); F(x*1)}
Jingjing Tian, Liu-yang Yuan
doaj   +1 more source

On the Use of Biased-Randomized Algorithms for Solving Non-Smooth Optimization Problems

open access: yesAlgorithms, 2019
Soft constraints are quite common in real-life applications. For example, in freight transportation, the fleet size can be enlarged by outsourcing part of the distribution service and some deliveries to customers can be postponed as well; in inventory ...
Angel Alejandro Juan   +4 more
doaj   +1 more source

Complexity of Highly Parallel Non-Smooth Convex Optimization

open access: yes, 2019
A landmark result of non-smooth convex optimization is that gradient descent is an optimal algorithm whenever the number of computed gradients is smaller than the dimension $d$. In this paper we study the extension of this result to the parallel optimization setting. Namely we consider optimization algorithms interacting with a highly parallel gradient
Bubeck, Sébastien   +4 more
openaire   +2 more sources

Association of CDKN2A/B Homozygous Deletion and Extent of Resection With Survival of Patients With WHO CNS5 Grade 4 Astrocytoma

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives WHO grade 4 astrocytomas are associated with poor prognosis, and their prognostic factors remain controversial. This study aimed to identify the prognostic factors and develop a management algorithm for these patients. Methods This study retrospectively included 151 CNS5 adult grade 4 astrocytomas from two medical centers.
Jiawei Cai   +13 more
wiley   +1 more source

An Improved Chaotic Optimization Algorithm Applied to a DC Electrical Motor Modeling

open access: yesEntropy, 2017
The chaos-based optimization algorithm (COA) is a method to optimize possibly nonlinear complex functions of several variables by chaos search. The main innovation behind the chaos-based optimization algorithm is to generate chaotic trajectories by means
Simone Fiori, Ruben Di Filippo
doaj   +1 more source

Brainstem and Cerebellar Volume Loss and Associated Clinical Features in Progressive Supranuclear Palsy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Progressive Supranuclear Palsy (PSP) is a neurodegenerative ‘tauopathy’ with predominating pathology in the basal ganglia and midbrain. Caudal tau spread frequently implicates the cerebellum; however, the pattern of atrophy remains equivocal.
Chloe Spiegel   +8 more
wiley   +1 more source

Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization

open access: yes, 2023
This paper investigates new families of compositional optimization problems, called $\underline{\bf n}$on-$\underline{\bf s}$mooth $\underline{\bf w}$eakly-$\underline{\bf c}$onvex $\underline{\bf f}$inite-sum $\underline{\bf c}$oupled $\underline{\bf c}$ompositional $\underline{\bf o}$ptimization (NSWC FCCO).
Hu, Quanqi, Zhu, Dixian, Yang, Tianbao
openaire   +2 more sources

Does Long‐Term Lower Extremity Strength Training in Adults With Knee Osteoarthritis and Varus Alignment Reduce Knee Joint Loading During Gait?

open access: yesArthritis Care &Research, EarlyView.
Objective We examined whether 18 months of strength training in individuals with knee varus alignment and medial tibiofemoral osteoarthritis (OA) reduced knee joint loads during walking compared to an attention control group. Methods This study was a secondary analysis of a randomized clinical trial that compared the effects of strength training to a ...
Stephen P. Messier   +12 more
wiley   +1 more source

Trajectories of Physical Function in Canadian Children with Juvenile Idiopathic Arthritis

open access: yesArthritis Care &Research, Accepted Article.
Objectives We describe trajectories of physical function in children newly diagnosed with juvenile idiopathic arthritis (JIA) and identify trajectories with persisting functional impairments and associated baseline characteristics. Methods We included patients enrolled in the Canadian Alliance of Pediatric Rheumatology Investigators (CAPRI) Registry ...
Clare Cunningham   +14 more
wiley   +1 more source

Quasi-Newton methods for solving non-smooth multiobjective optimization

open access: yesJournal of Mathematical Extension, 2014
In this paper, a quasi-Newton type algorithm for non-smooth multiobjective optimization is presented. In this algorithm, in every iteration a quadratic subproblem solves until a critical point is reached. Moreover, the global convergence of the algorithm
Najmeh Hoseini Monjezi
doaj  

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