About: Density matrix renormalization group     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : dbo:TopicalConcept, 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%2FDensity_matrix_renormalization_group&invfp=IFP_OFF&sas=SAME_AS_OFF

The density matrix renormalization group (DMRG) is a numerical variational technique devised to obtain the low-energy physics of quantum many-body systems with high accuracy. As a variational method, DMRG is an efficient algorithm that attempts to find the lowest-energy matrix product state wavefunction of a Hamiltonian. It was invented in 1992 by Steven R. White and it is nowadays the most efficient method for 1-dimensional systems.

AttributesValues
rdf:type
rdfs:label
  • Grupo de renormalización de la matriz de densidad (es)
  • Density matrix renormalization group (en)
  • 密度行列繰り込み群法 (ja)
  • 密度矩陣重整化群 (zh)
rdfs:comment
  • The density matrix renormalization group (DMRG) is a numerical variational technique devised to obtain the low-energy physics of quantum many-body systems with high accuracy. As a variational method, DMRG is an efficient algorithm that attempts to find the lowest-energy matrix product state wavefunction of a Hamiltonian. It was invented in 1992 by Steven R. White and it is nowadays the most efficient method for 1-dimensional systems. (en)
  • El grupo de renormalización de la matriz de densidad (GRMD, o por sus siglas en inglés DMRG) es una técnica numérica variacional usada para obtener la física a bajas energías de sistemas cuánticos de muchos cuerpos con alta precisión. Fue inventado en 1992 por y es hoy en día uno de los métodos más eficientes para modelos unidimensionales. (es)
  • 密度行列繰り込み群法(みつどぎょうれつくりこみぐんほう 英: density matrix renormalization group; DMRG)は、量子多体系における低エネルギー物理を高精度に計算するために考案された数値変分法である。1992年に Steven R. White により開発された。 (ja)
  • 密度矩陣重整化群 (Density Matrix Renormalization Group),簡稱DMRG,是一種數值演算法,於西元1992年由美國物理學家史提芬·懷特提出。密度矩陣重整化群是用來計算量子多體系統(例如:Hubbard model、t-J模型、海森堡模型,等等)的一個非常精準的數值演算法,在一維或準一維的系統可以得到系統尺寸很大且很準確的計算結果,但是在二維的量子多體系統中卻很難達到所需要的精確度。目前此演算法仍無法計算三維的量子系統。 (zh)
rdfs:seeAlso
foaf:depiction
  • http://commons.wikimedia.org/wiki/Special:FilePath/Dmrg1.png
  • http://commons.wikimedia.org/wiki/Special:FilePath/Dmrg2.png
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
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, 59 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software