Neutron Scattering Data Analysis 1990, Proceedings of the Conference on Neutron Scattering, 14-16 March 1990, Rutherford Appleton Laboratory, UKM. W. Johnson |
From inside the book
Results 1-3 of 45
Page 30
... algorithm ) . 3.5 Monitoring the behavior of the algorithm While the SA algorithm can in principle achieve convergence to a globally - optimum solution with probability arbitrarily close to 1 ( given enough computer time ) , for ...
... algorithm ) . 3.5 Monitoring the behavior of the algorithm While the SA algorithm can in principle achieve convergence to a globally - optimum solution with probability arbitrarily close to 1 ( given enough computer time ) , for ...
Page 32
... algorithm can be estimated by two quantities : the quality of the solution and the computing time required by the optimization . 4.1 Quality of the solution The quality of the final solution which assesses the ability of the procedure ...
... algorithm can be estimated by two quantities : the quality of the solution and the computing time required by the optimization . 4.1 Quality of the solution The quality of the final solution which assesses the ability of the procedure ...
Page 42
... algorithms and SA The principal shortcoming of SA is the amount of computational effort it requires to converge to a near - optimal solution . A possible method to increase the speed of the algorithm is to distribute the execution of ...
... algorithms and SA The principal shortcoming of SA is the amount of computational effort it requires to converge to a near - optimal solution . A possible method to increase the speed of the algorithm is to distribute the execution of ...
Other editions - View all
Common terms and phrases
Acta Cryst 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 determined diffraction data diffractometer elastic scattering energy error bars example experiment experimental Figure Fourier transform Gaussian GENIE GENIE-V3 histogram inelastic instrument intensity interpolation inverse ISIS likelihood function magnetic structure matrix MaxEnt Reconstruction Maximum Entropy McGreevy measured method molecular Momentum Transfer MoO3 neutron diffraction neutron scattering normalisation normalization obtained optimisation optimization problems parameters Patterson map performed Phys plot positive powder diffraction presented at Neutron prior probability procedure Qmaz quasielastic refinement reflectivity data resolution function ROTAX Rutherford Appleton Laboratory sample scan Scatt scattering law shown simulated annealing single crystal solution spectra spectrometer spectrum statistical structure factor symmetry temperature time-of-flight truncation UNIRAS unit cell vanadium vector wavelength workspace