Published 1993
| Version v1
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Monte Carlo simulations with indefinite and complex-valued measures
Description
A method is presented to tackle the sign problem in the simulations of systems having indefinite or complex-valued measures. In general, this new approach is shown to yield statistical errors smaller than the crude Monte Carlo using absolute values of the original measures. Exactly solvable, one-dimensional Ising models with complex temperature and complex activity illustrate the considerable improvements and the workability of the new method even when the crude one fails. 7 refs., 3 tabs., 2 figs
Availability note (English)
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25075228.pdf
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Additional details
Publishing Information
- Imprint Pagination
- 9 p.
- Report number
- UM-P--93/70
INIS
- Country of Publication
- Australia
- Country of Input or Organization
- Australia
- INIS RN
- 25075228
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; S99: GENERAL AND MISCELLANEOUS;
- Resource subtype / Literary indicator
- Numerical Data
- Descriptors DEI
- COMPUTERIZED SIMULATION; DATA COVARIANCES; DATA PROCESSING; EVALUATED DATA; ISING MODEL; MONTE CARLO METHOD; ONE-DIMENSIONAL CALCULATIONS
- Descriptors DEC
- CALCULATION METHODS; CRYSTAL MODELS; DATA; INFORMATION; MATHEMATICAL MODELS; NUMERICAL DATA; SIMULATION
Optional Information
- Funding organization
- Australian Research Council, Canberra, ACT (Australia).