Results 101 to 110 of about 111,305 (313)
Computer Vision Technologies in Movement Disorders: A Systematic Review
Movement Disorders Clinical Practice, EarlyView.Abstract Background Evaluation of movement disorders primarily relies on phenomenology. Despite refinements in diagnostic criteria, the accuracy remains suboptimal. Such a gap may be bridged by machine learning and video technology, which permit objective, quantitative, non‐invasive motor analysis.
Pasquale Maria Pecoraro +4 more
wiley +1 more source
Best interpolation in a strip II: Reduction to unconstrained convex optimization [PDF]
, 1996 Asen L. Dontchev, Ilya Kolmanovsky
openalex +1 more source
Parallel projected variable metric algorithms for unconstrained optimization [PDF]
The parallel variable metric optimization algorithms of Straeter (1973) and van Laarhoven (1985) are reviewed, and the possible drawbacks of the algorithms are noted.
Freeman, T. L.
core +1 more source
Evolutionary pattern search algorithms for unconstrained and linearly constrained optimization [PDF]
, 2001 William E. Hart
openalex +1 more source
A dimension-reducing method for unconstrained optimization
Journal of Computational and Applied Mathematics, 1996 AbstractA new method for unconstrained optimization in Rn is presented. This method reduces the dimension of the problem in such a way that it can lead to an iterative approximate formula for the computation of (n − 1) components of the optimum while its remaining component is computed separately using the final approximations of the other components ...
T. N. Grapsa, Michael N. Vrahatis
openaire +2 more sources
Movement Disorders, EarlyView.ABSTRACT Background With disease‐modifying drugs for degenerative ataxias on the horizon, ecologically valid measures of gait performance that can detect patient‐relevant changes in trial‐like time frames are highly warranted. Objectives In this 2‐year longitudinal study, we aimed to unravel ataxic gait measures sensitive to longitudinal changes in ...
Jens Seemann +8 more
wiley +1 more source
Multi-Objective Optimization Technique Based on QUBO and an Ising Machine
IEEE AccessWith an increase in the complexity of society, solving multi-objective optimization problems (MOPs) has become crucial. In this study, we introduced a novel method called “quadratic unconstrained binary optimization based on the weighted normal ...
Hiroshi Ikeda, Takashi Yamazaki
doaj +1 more source
Один подход к решению нелинейных задач оптимизации с ограничениями
, 2009 Розглянуто підхід до зведення задачі опуклого програмування з обмеженнями до задачі безумовної оптимізації. Вважається заданою початкова точка, що належить внутрішності допустимої множини. Еквівалентна задача безумовної оптимізації формується таким чином,
Лаптин, Ю.П.
core
A Spectral Conjugate Gradient Method for Unconstrained Optimization [PDF]
, 2001 E. G. Birgin, J. M. Martı́nez
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Solving Large‐Scale Weapon Target Assignment Problems in Seconds Using Branch‐Price‐And‐Cut
Naval Research Logistics (NRL), EarlyView.ABSTRACT This paper proposes a framework based on branch‐price‐and‐cut to solve the weapon target assignment (WTA) problem, a popular class of non‐linear assignment problems that has received significant attention over the past several decades. We first reformulate the WTA into a form amenable to column generation and then derive efficient algorithms ...
Dimitris Bertsimas, Alex Paskov
wiley +1 more source