Matches in SemOpenAlex for { <https://semopenalex.org/work/W2560202228> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W2560202228 endingPage "10" @default.
- W2560202228 startingPage "1" @default.
- W2560202228 abstract "We study the cumulative distribution function (CDF), probability density function (PDF), and moments of distance between a given vertex and a uniformly distributed random point within a triangle in this work. Based on a computational technique that helps us provide unified formulae of the CDF and PDF for this random distance then we compute its moments of arbitrary orders, based on which the variance and standard deviation can be easily derived. We conduct Monte Carlo simulations under various conditions to check the validity of our theoretical derivations. Our method can be adapted to study the random distances sampled from arbitrary polygons by decomposing them into triangles." @default.
- W2560202228 created "2016-12-16" @default.
- W2560202228 creator A5042151067 @default.
- W2560202228 creator A5065155774 @default.
- W2560202228 date "2016-01-01" @default.
- W2560202228 modified "2023-10-17" @default.
- W2560202228 title "Moments of Distance from a Vertex to a Uniformly Distributed Random Point within Arbitrary Triangles" @default.
- W2560202228 cites W1572286032 @default.
- W2560202228 cites W1971685961 @default.
- W2560202228 cites W1979299785 @default.
- W2560202228 cites W1994029369 @default.
- W2560202228 cites W2039940720 @default.
- W2560202228 cites W2070263887 @default.
- W2560202228 cites W2086806918 @default.
- W2560202228 cites W2110999399 @default.
- W2560202228 cites W2127337238 @default.
- W2560202228 cites W2150492351 @default.
- W2560202228 cites W2313958883 @default.
- W2560202228 cites W3101904591 @default.
- W2560202228 cites W3104298728 @default.
- W2560202228 cites W56421048 @default.
- W2560202228 doi "https://doi.org/10.1155/2016/8371750" @default.
- W2560202228 hasPublicationYear "2016" @default.
- W2560202228 type Work @default.
- W2560202228 sameAs 2560202228 @default.
- W2560202228 citedByCount "5" @default.
- W2560202228 countsByYear W25602022282019 @default.
- W2560202228 countsByYear W25602022282021 @default.
- W2560202228 countsByYear W25602022282023 @default.
- W2560202228 crossrefType "journal-article" @default.
- W2560202228 hasAuthorship W2560202228A5042151067 @default.
- W2560202228 hasAuthorship W2560202228A5065155774 @default.
- W2560202228 hasBestOaLocation W25602022281 @default.
- W2560202228 hasConcept C103784038 @default.
- W2560202228 hasConcept C105795698 @default.
- W2560202228 hasConcept C114614502 @default.
- W2560202228 hasConcept C121332964 @default.
- W2560202228 hasConcept C121864883 @default.
- W2560202228 hasConcept C121955636 @default.
- W2560202228 hasConcept C132525143 @default.
- W2560202228 hasConcept C14036430 @default.
- W2560202228 hasConcept C144133560 @default.
- W2560202228 hasConcept C19499675 @default.
- W2560202228 hasConcept C196083921 @default.
- W2560202228 hasConcept C197055811 @default.
- W2560202228 hasConcept C2524010 @default.
- W2560202228 hasConcept C28719098 @default.
- W2560202228 hasConcept C33923547 @default.
- W2560202228 hasConcept C78458016 @default.
- W2560202228 hasConcept C80899671 @default.
- W2560202228 hasConcept C86803240 @default.
- W2560202228 hasConceptScore W2560202228C103784038 @default.
- W2560202228 hasConceptScore W2560202228C105795698 @default.
- W2560202228 hasConceptScore W2560202228C114614502 @default.
- W2560202228 hasConceptScore W2560202228C121332964 @default.
- W2560202228 hasConceptScore W2560202228C121864883 @default.
- W2560202228 hasConceptScore W2560202228C121955636 @default.
- W2560202228 hasConceptScore W2560202228C132525143 @default.
- W2560202228 hasConceptScore W2560202228C14036430 @default.
- W2560202228 hasConceptScore W2560202228C144133560 @default.
- W2560202228 hasConceptScore W2560202228C19499675 @default.
- W2560202228 hasConceptScore W2560202228C196083921 @default.
- W2560202228 hasConceptScore W2560202228C197055811 @default.
- W2560202228 hasConceptScore W2560202228C2524010 @default.
- W2560202228 hasConceptScore W2560202228C28719098 @default.
- W2560202228 hasConceptScore W2560202228C33923547 @default.
- W2560202228 hasConceptScore W2560202228C78458016 @default.
- W2560202228 hasConceptScore W2560202228C80899671 @default.
- W2560202228 hasConceptScore W2560202228C86803240 @default.
- W2560202228 hasFunder F4320321001 @default.
- W2560202228 hasLocation W25602022281 @default.
- W2560202228 hasLocation W25602022282 @default.
- W2560202228 hasOpenAccess W2560202228 @default.
- W2560202228 hasPrimaryLocation W25602022281 @default.
- W2560202228 hasRelatedWork W1519246337 @default.
- W2560202228 hasRelatedWork W1978042415 @default.
- W2560202228 hasRelatedWork W2015524032 @default.
- W2560202228 hasRelatedWork W2049196273 @default.
- W2560202228 hasRelatedWork W2070456631 @default.
- W2560202228 hasRelatedWork W2074196217 @default.
- W2560202228 hasRelatedWork W2346500824 @default.
- W2560202228 hasRelatedWork W2408489498 @default.
- W2560202228 hasRelatedWork W2519898166 @default.
- W2560202228 hasRelatedWork W4299532214 @default.
- W2560202228 hasVolume "2016" @default.
- W2560202228 isParatext "false" @default.
- W2560202228 isRetracted "false" @default.
- W2560202228 magId "2560202228" @default.
- W2560202228 workType "article" @default.