Results 81 to 90 of about 28,946 (263)
Grobner Basis Approach to Some Combinatorial Problems [PDF]
Computer Science Journal of Moldova, 2012 We consider several simple combinatorial problems and discuss different ways to express them using polynomial equations and try to describe the \GB of the corresponding ideals. The main instruments are complete symmetric polynomials that help to express
Victor Ufnarovski
doaj
A Modified Multi-Level Hyper Heuristic for Tackling Combinatorial Optimization Problems [PDF]
IJCI International Journal of Computers and InformationHyper-heuristics are search techniques that operate on heuristic spaces by selecting low-level heuristics appropriately. Hyper-heuristic aims to generate a generalized and automated approaches to solve various problem domains.
Asmaa Awad +3 more
doaj +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective This study aimed to investigate the immunological response to influenza vaccination, the incidence and severity of influenza infection, and the side effects of the vaccination in patients with ischemic stroke. Methods This prospective observational study was conducted between 2023 and 2024 at Ramathibodi Hospital.
Achiraya Pakngao +5 more
wiley +1 more source
Novelty and imitation within the brain: a Darwinian neurodynamic approach to combinatorial problems. [PDF]
Sci Rep, 2021 Czégel D +4 more
europepmc +1 more source
Approximation algorithms for combinatorial problems
Proceedings of the fifth annual ACM symposium on Theory of computing - STOC '73, 1973 Simple, polynomial-time, heuristic algorithms for finding approximate solutions to various polynomial complete optimization problems are analyzed with respect to their worst case behavior, measured by the ratio of the worst solution value that can be chosen by the algorithm to the optimal value.
openaire +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Isolated rapid eye movement sleep behavior disorder (iRBD) is a prodromal state for Lewy body disorders and exhibits biological heterogeneity that may influence clinical expression and progression. We examined clinical features in individuals with iRBD and biomarker‐defined synucleinopathy.
Daniel Weintraub +24 more
wiley +1 more source
Flexible Wolf Pack Algorithm for Dynamic Multidimensional Knapsack Problems
Research, 2020 Optimization problems especially in a dynamic environment is a hot research area that has attracted notable attention in the past decades. It is clear from the dynamic optimization literatures that most of the efforts have been devoted to continuous ...
Husheng Wu, Renbin Xiao
doaj +1 more source
Early Clinical, Imaging, and Pathological Characteristics of SRPK3/TTN‐Digenic Myopathy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective SRPK3/TTN‐digenic myopathy was recently established as a skeletal muscle myopathy caused by digenic inheritance. This study characterizes the early clinical presentation of SRPK3/TTN‐digenic myopathy in one previously reported and seven newly identified pediatric patients.
Rotem Orbach +23 more
wiley +1 more source
Transfer Reinforcement Learning for Combinatorial Optimization Problems
AlgorithmsReinforcement learning is an important technique in various fields, particularly in automated machine learning for reinforcement learning (AutoRL).
Gleice Kelly Barbosa Souza +5 more
doaj +1 more source
A combinatorial problem and numerical semigroups
Ars Mathematica Contemporanea, 2018 Let $a=(a_1,\ldots,a_n)$ and $b=(b_1,\ldots,b_n)$ be two $n$-tuples of positive integers, let $X$ be a set of positive integers, and let $g$ be a positive integer. In this work we show an algorithmic process in order to compute all the sets $C$ of positive integers that fulfill the following conditions: 1) the cardinality of $C$ is equal to $g$; 2) if $
Aureliano M. Robles-Pérez +1 more
openaire +5 more sources