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dc.contributor.authorKrylovas, Aleksandras
dc.contributor.authorKosareva, Natalja
dc.contributor.authorDadelienė, Rūta
dc.contributor.authorDadelo, Stanislavas
dc.date.accessioned2023-09-18T20:15:17Z
dc.date.available2023-09-18T20:15:17Z
dc.date.issued2020
dc.identifier.issn2227-7390
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/148247
dc.description.abstractInnovative solutions and techniques in the sports industry are commonly used and tested in real conditions. Elite athletes have to achieve their peak performance before the main competition of the year, which is the World Championship, and every fourth year before the Olympic Games, when the main competition of athletes takes place. The present study aims to analyze and evaluate the ability of elite kayakers to achieve the best form at the right times, with the Olympic Games taking the greatest importance. Target values for multiple measures of conditioning are compared to target values set by experts. A weighted least squares metric with weights varied by time period is developed as a measure of fulfillment of the athletes’ conditioning plans. The novelty of the paper is the idea of using linear combination of polynomials and trigonometric functions for approximating the target functions and application of the proposed methodology for the optimization and evaluation of athletic training.eng
dc.formatPDF
dc.format.extentp. 1-19
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyGenamics Journal Seek
dc.relation.isreferencedbyDOAJ
dc.relation.isreferencedbyScopus
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.source.urihttps://doi.org/10.3390/math8010066
dc.source.urihttps://www.mdpi.com/2227-7390/8/1/66
dc.titleEvaluation of elite athletes training management efficiency based on multiple criteria measure of conditioning using fewer data
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
dcterms.references30
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionVilniaus universitetas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.contributor.facultyKūrybinių industrijų fakultetas / Faculty of Creative Industries
dc.subject.researchfieldN 001 - Matematika / Mathematics
dc.subject.researchfieldS 008 - Komunikacija ir informacija / Communication and information
dc.subject.researchfieldS 007 - Edukologija / Educology
dc.subject.vgtuprioritizedfieldsFM0101 - Fizinių, technologinių ir ekonominių procesų matematiniai modeliai / Mathematical models of physical, technological and economic processes
dc.subject.ltspecializationsL104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies
dc.subject.enathletes’ condition
dc.subject.enapproximation
dc.subject.enparameter estimation
dc.subject.enleast squares method
dc.subject.envisualization
dcterms.sourcetitleMathematics
dc.description.issueiss. 1
dc.description.volumevol. 8
dc.publisher.nameMDPI
dc.publisher.cityBasel
dc.identifier.doi000515730100016
dc.identifier.doi10.3390/math8010066
dc.identifier.elaba48557026


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