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Variational density matrix optimization using semidefinite programming

(2011) COMPUTER PHYSICS COMMUNICATIONS. 182(9). p.2025-2028
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Project
HPC-UGent: the central High Performance Computing infrastructure of Ghent University
Keywords
Density matrix, Variational, Semidefinite programming, STATE CORRELATION ENERGIES, ATOMIC IONS

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Citation

Please use this url to cite or link to this publication:

Chicago
Verstichel, Brecht, Helen van Aggelen, Dimitri Van Neck, Paul W Ayers, and Patrick Bultinck. 2011. “Variational Density Matrix Optimization Using Semidefinite Programming.” Computer Physics Communications 182 (9): 2025–2028.
APA
Verstichel, B., van Aggelen, H., Van Neck, D., Ayers, P. W., & Bultinck, P. (2011). Variational density matrix optimization using semidefinite programming. COMPUTER PHYSICS COMMUNICATIONS, 182(9), 2025–2028.
Vancouver
1.
Verstichel B, van Aggelen H, Van Neck D, Ayers PW, Bultinck P. Variational density matrix optimization using semidefinite programming. COMPUTER PHYSICS COMMUNICATIONS. 2011;182(9):2025–8.
MLA
Verstichel, Brecht, Helen van Aggelen, Dimitri Van Neck, et al. “Variational Density Matrix Optimization Using Semidefinite Programming.” COMPUTER PHYSICS COMMUNICATIONS 182.9 (2011): 2025–2028. Print.
@article{1093973,
  author       = {Verstichel, Brecht and van Aggelen, Helen and Van Neck, Dimitri and Ayers, Paul W and Bultinck, Patrick},
  issn         = {0010-4655},
  journal      = {COMPUTER PHYSICS COMMUNICATIONS},
  language     = {eng},
  number       = {9},
  pages        = {2025--2028},
  title        = {Variational density matrix optimization using semidefinite programming},
  url          = {http://dx.doi.org/10.1016/j.cpc.2010.12.034},
  volume       = {182},
  year         = {2011},
}

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