## 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 33

Bibliography : E. Bonomi & J.L. Lutton The N-city traveling salesman problem :

1984) R.E. Randelman & G.S. Grest N-city traveling salesman problem :

optimization ...

Bibliography : E. Bonomi & J.L. Lutton The N-city traveling salesman problem :

**statistical**mechanics and the Metropolis algorithm SIAM Review 26, 551-568 (1984) R.E. Randelman & G.S. Grest N-city traveling salesman problem :

optimization ...

Page 43

[2.2] 7 - Relation between SA and

of SA to solve large combinatorial optimization problems is based on an analogy

with the annealing of solids. Following the successes of SA in optimization, ...

[2.2] 7 - Relation between SA and

**statistical**physics As mentioned in § 2, the useof SA to solve large combinatorial optimization problems is based on an analogy

with the annealing of solids. Following the successes of SA in optimization, ...

Page 171

Experimental error -a The RMC algorithm assumes that we have only

errors. In practice this is not true, but the whole procedure is not thereby

invalidated. A three dimensional structure that is consistent with the experimental

data ...

Experimental error -a The RMC algorithm assumes that we have only

**statistical**errors. In practice this is not true, but the whole procedure is not thereby

invalidated. A three dimensional structure that is consistent with the experimental

data ...

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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