## Neutron Scattering Data Analysis 1990: Invited and Contributed Papers from the Conference on Neutron Scattering Data Analysis Held at The Rutherford Appleton Laboratory, Chilton, 14-16 March 1990 |

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Page 30

Typically, the

e.g. lO3). It is worth to note that in the last stages of the SA optimization procedure

(namely when the system configuration is in the basin of attraction of the ...

Typically, the

**algorithm**is stopped when this ratio falls below an arbitrary value (e.g. lO3). It is worth to note that in the last stages of the SA optimization procedure

(namely when the system configuration is in the basin of attraction of the ...

Page 32

PERFORMANCE OF THE

prominent feature of S A is its ease of implementation. This is reflected in the

wide variety of problems which have been handled with this method since 1983.

However it ...

PERFORMANCE OF THE

**ALGORITHM**For practical applications, a mostprominent feature of S A is its ease of implementation. This is reflected in the

wide variety of problems which have been handled with this method since 1983.

However it ...

Page 42

1984), 652-657 4 B. Gidas Nonstationary Markov chains and convergence of the

annealing

A. Sangiovanni-Vincentalli Convergence and finite-time behavior of simulated ...

1984), 652-657 4 B. Gidas Nonstationary Markov chains and convergence of the

annealing

**algorithm**J. Statistical Phys. 39,73-131 (1985) 5 D. Mitra, F. Romeo &A. Sangiovanni-Vincentalli Convergence and finite-time behavior of simulated ...

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### Common terms and phrases

algorithm applications approach atoms Bayesian beam Bragg peaks calculated configuration constraints coordinates corresponding cost function cross-section crystallographic Data Anal data analysis data set defined detector bank determined diffraction data diffractometer distribution function elastic scattering energy error bars example experiment experimental Figure Fourier transform Gaussian GENIE GENIE-V3 histogram inelastic instrument intensity inverse ISIS least squares likelihood function magnetic structure magnetisation density matrix MaxEnt reconstruction Maximum Entropy McGreevy measured method molecular Monte Carlo neutron diffraction neutron scattering normalisation normalization obtained optimisation optimization problems parameters Patterson map performed Phys plot positive powder diffraction presented at Neutron prior procedure quasielastic radial distribution functions refinement reflectivity data resolution function ROTAX Rutherford Appleton Laboratory sample scan scattering law shown simulated annealing single crystal solution spectra spectrometer spectrum statistical structure factor symmetry technique temperature time-of-flight truncation UNIRAS unit cell vanadium vector wavelength workspace