Results 61 to 70 of about 1,967,671 (302)

Combinatorial optimization with 2-joins

open access: yesJournal of Combinatorial Theory, Series B, 2012
A 2-join is an edge cutset that naturally appears in decomposition of several classes of graphs closed under taking induced subgraphs, such as perfect graphs and claw-free graphs. In this paper we construct combinatorial polynomial time algorithms for finding a maximum weighted clique, a maximum weighted stable set and an optimal coloring for a class ...
Trotignon, Nicolas, Kristina, Vuskovic
openaire   +7 more sources

Effectiveness of Resistance Intradialytic Exercise Compared to Aerobic Intradialytic Exercise for Patients With Chronic Kidney Disease: A Randomized Controlled Clinical Trial

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida   +6 more
wiley   +1 more source

Aplicación de la búsqueda tabú en regresión no lineal

open access: yesRevista de Matemática: Teoría y Aplicaciones, 2009
We implement the combinatorial optimization technique known as tabu search in the parameter estimation problem in a given non linear model. For the generation of neighbors, the implementation is based on a discretization of the parameter space, which is ...
Mario A. Villalobos   +2 more
doaj   +1 more source

Comparative Evaluation of Hemodiafiltration, Hemoperfusion, and Standard Hemodialysis on Efficacy, Inflammatory Control, Dialysis Adequacy, and Safety in End‐Stage Renal Disease: A Prospective Observational Study

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo   +5 more
wiley   +1 more source

Evaluating Typical Algorithms of Combinatorial Optimization to Solve Continuous-Time Based Scheduling Problem

open access: yesAlgorithms, 2018
We consider one approach to formalize the Resource-Constrained Project Scheduling Problem (RCPSP) in terms of combinatorial optimization theory. The transformation of the original problem into combinatorial setting is based on interpreting each operation
Alexander A. Lazarev   +2 more
doaj   +1 more source

Similarity-based parameter transferability in the quantum approximate optimization algorithm

open access: yesFrontiers in Quantum Science and Technology, 2023
The quantum approximate optimization algorithm (QAOA) is one of the most promising candidates for achieving quantum advantage through quantum-enhanced combinatorial optimization.
Alexey Galda   +10 more
doaj   +1 more source

Clustering and combinatorial optimization in recursive supervised learning

open access: yes, 2007
The use of combinations of weak learners to learn a dataset has been shown to be better than the use of a single strong learner. In fact, the idea is so successful that boosting, an algorithm combining several weak learners for supervised learning, has
Guan, S.U.   +5 more
core   +1 more source

Organoids in pediatric cancer research

open access: yesFEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Iterative quantum algorithm for combinatorial optimization based on quantum gradient descent

open access: yesResults in Physics
Combinatorial optimization has wide and high-value applications in many fields of science and industry, but solving general combinatorial optimization problems is non-deterministic polynomial time (NP) hard.
Xin Yi   +5 more
doaj   +1 more source

Flexible Wolf Pack Algorithm for Dynamic Multidimensional Knapsack Problems

open access: yesResearch, 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

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