About: Poincaré plot     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : yago:WikicatDynamicalSystems, within Data Space : dbpedia.demo.openlinksw.com associated with source document(s)
QRcode icon
http://dbpedia.demo.openlinksw.com/describe/?url=http%3A%2F%2Fdbpedia.org%2Fresource%2FPoincaré_plot&invfp=IFP_OFF&sas=SAME_AS_OFF

A Poincaré plot, named after Henri Poincaré, is a type of recurrence plot used to quantify self-similarity in processes, usually periodic functions. It is also known as a return map. Poincaré plots can be used to distinguish chaos from randomness by embedding a data set in a higher-dimensional state space. Given a time series of the form a return map in its simplest form first plots (xt, xt+1), then plots (xt+1, xt+2), then (xt+2, xt+3), and so on.

AttributesValues
rdf:type
rdfs:label
  • ポアンカレプロット (ja)
  • Poincaré plot (en)
rdfs:comment
  • A Poincaré plot, named after Henri Poincaré, is a type of recurrence plot used to quantify self-similarity in processes, usually periodic functions. It is also known as a return map. Poincaré plots can be used to distinguish chaos from randomness by embedding a data set in a higher-dimensional state space. Given a time series of the form a return map in its simplest form first plots (xt, xt+1), then plots (xt+1, xt+2), then (xt+2, xt+3), and so on. (en)
  • ポアンカレプロットまたはリターンマップは、特に周期関数に従う過程の自己相似性を定量化するために用いられるリカレンスプロットの1つである。数学者のアンリ・ポアンカレに因んで名付けられた。ポアンカレプロットは、データをより高次元の状態空間に埋め込むことで、ランダムとカオスとを判別するために用いられる。 時系列データ に対して、ポアンカレプロットは(xt, xt+1)、(xt+1, xt+2)、(xt+2, xt+3)と描画していく。 (ja)
foaf:depiction
  • http://commons.wikimedia.org/wiki/Special:FilePath/PoincarePlot.gif
dcterms:subject
Wikipage page ID
Wikipage revision ID
Link from a Wikipage to another Wikipage
Link from a Wikipage to an external page
sameAs
dbp:wikiPageUsesTemplate
thumbnail
has abstract
  • A Poincaré plot, named after Henri Poincaré, is a type of recurrence plot used to quantify self-similarity in processes, usually periodic functions. It is also known as a return map. Poincaré plots can be used to distinguish chaos from randomness by embedding a data set in a higher-dimensional state space. Given a time series of the form a return map in its simplest form first plots (xt, xt+1), then plots (xt+1, xt+2), then (xt+2, xt+3), and so on. (en)
  • ポアンカレプロットまたはリターンマップは、特に周期関数に従う過程の自己相似性を定量化するために用いられるリカレンスプロットの1つである。数学者のアンリ・ポアンカレに因んで名付けられた。ポアンカレプロットは、データをより高次元の状態空間に埋め込むことで、ランダムとカオスとを判別するために用いられる。 時系列データ に対して、ポアンカレプロットは(xt, xt+1)、(xt+1, xt+2)、(xt+2, xt+3)と描画していく。 (ja)
prov:wasDerivedFrom
page length (characters) of wiki page
foaf:isPrimaryTopicOf
is Link from a Wikipage to another Wikipage of
is Wikipage redirect of
is foaf:primaryTopic of
Faceted Search & Find service v1.17_git139 as of Feb 29 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 08.03.3330 as of Mar 19 2024, on Linux (x86_64-generic-linux-glibc212), Single-Server Edition (378 GB total memory, 67 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software