dc.contributor.author | Krylovas, Aleksandras | |
dc.contributor.author | Kosareva, Natalja | |
dc.contributor.author | Dadelienė, Rūta | |
dc.contributor.author | Dadelo, Stanislavas | |
dc.date.accessioned | 2023-09-18T20:15:17Z | |
dc.date.available | 2023-09-18T20:15:17Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 2227-7390 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/148247 | |
dc.description.abstract | Innovative 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.format | PDF | |
dc.format.extent | p. 1-19 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.isreferencedby | Genamics Journal Seek | |
dc.relation.isreferencedby | DOAJ | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | Science Citation Index Expanded (Web of Science) | |
dc.source.uri | https://doi.org/10.3390/math8010066 | |
dc.source.uri | https://www.mdpi.com/2227-7390/8/1/66 | |
dc.title | Evaluation of elite athletes training management efficiency based on multiple criteria measure of conditioning using fewer data | |
dc.type | Straipsnis Web of Science DB / Article in Web of Science DB | |
dcterms.accessRights | This 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.references | 30 | |
dc.type.pubtype | S1 - Straipsnis Web of Science DB / Web of Science DB article | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.institution | Vilniaus universitetas | |
dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
dc.contributor.faculty | Kūrybinių industrijų fakultetas / Faculty of Creative Industries | |
dc.subject.researchfield | N 001 - Matematika / Mathematics | |
dc.subject.researchfield | S 008 - Komunikacija ir informacija / Communication and information | |
dc.subject.researchfield | S 007 - Edukologija / Educology | |
dc.subject.vgtuprioritizedfields | FM0101 - Fizinių, technologinių ir ekonominių procesų matematiniai modeliai / Mathematical models of physical, technological and economic processes | |
dc.subject.ltspecializations | L104 - Nauji gamybos procesai, medžiagos ir technologijos / New production processes, materials and technologies | |
dc.subject.en | athletes’ condition | |
dc.subject.en | approximation | |
dc.subject.en | parameter estimation | |
dc.subject.en | least squares method | |
dc.subject.en | visualization | |
dcterms.sourcetitle | Mathematics | |
dc.description.issue | iss. 1 | |
dc.description.volume | vol. 8 | |
dc.publisher.name | MDPI | |
dc.publisher.city | Basel | |
dc.identifier.doi | 000515730100016 | |
dc.identifier.doi | 10.3390/math8010066 | |
dc.identifier.elaba | 48557026 | |