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Recent advances in quantum Monte Carlo methods [electronic resource] / edited by William A. Lester, Jr.

Contributor(s): Material type: TextTextSeries: Recent advances in computational chemistry ; v. 2.Publication details: Singapore ; River Edge, NJ : World Scientific, ©1997.Description: 1 online resource (vii, 235 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9789812819710
  • 9812819711
  • 6613948314
  • 9786613948311
  • 1283635852
  • 9781283635851
Subject(s): Genre/Form: Additional physical formats: Print version:: Recent advances in quantum Monte Carlo methods.DDC classification:
  • 541.2801519282 22
LOC classification:
  • QD462 .R44 1997eb
Other classification:
  • SK 840
  • UK 1200
  • VC 6100
Online resources: Summary: The quantum Monte Carlo (QMC) method is gaining interest as a complement to basis set ab initio methods in cases where high accuracy computation of atomic and molecular properties is desired. This volume focuses on recent advances in this area. QMC as used here refers to methods that directly solve the Schrödinger equation, for example, diffusion and Green's function Monte Carlo, as well as variational Monte Carlo. The latter is an approach to computing atomic and molecular properties by the Monte Carlo method that has fundamental similarities to basis set methods with the exception that the limitation to one-particle basis functions to facilitate integral evaluation is avoided. This feature makes possible the consideration of many-body wave functions containing explicitly interparticle distances - a capability common to all variants of QMC.
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Print version record.

The quantum Monte Carlo (QMC) method is gaining interest as a complement to basis set ab initio methods in cases where high accuracy computation of atomic and molecular properties is desired. This volume focuses on recent advances in this area. QMC as used here refers to methods that directly solve the Schrödinger equation, for example, diffusion and Green's function Monte Carlo, as well as variational Monte Carlo. The latter is an approach to computing atomic and molecular properties by the Monte Carlo method that has fundamental similarities to basis set methods with the exception that the limitation to one-particle basis functions to facilitate integral evaluation is avoided. This feature makes possible the consideration of many-body wave functions containing explicitly interparticle distances - a capability common to all variants of QMC.

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