Variational calculations of fermion second-order reduced density matrices be semidefinite programming algorithm

Maho Nakata, Hiroshi Nakatsuji, Masahiro Ehara, Mitsuhiro Fukuda, Kazuhide Nakata, Katsuki Fujisawa

Research output: Contribution to journalArticle

209 Citations (Scopus)

Abstract

The DMVT was developed systematically by using semidefinite programming algorithm (SDPA) as a problem solver. It was shown that the technique is very stable. Although errors were found, these are permissible in both energy and properties.

Original languageEnglish
Pages (from-to)8282-8292
Number of pages11
JournalJournal of Chemical Physics
Volume114
Issue number19
DOIs
Publication statusPublished - May 15 2001
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)
  • Physical and Theoretical Chemistry

Fingerprint Dive into the research topics of 'Variational calculations of fermion second-order reduced density matrices be semidefinite programming algorithm'. Together they form a unique fingerprint.

  • Cite this