Neutron Scattering Data Analysis 1990, Proceedings of the Conference on Neutron Scattering, 14-16 March 1990, Rutherford Appleton Laboratory, UKM. W. Johnson |
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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 ...
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additional algorithm allows analysis angle applications approach atoms average beam Bragg calculated cell combinatorial optimization configuration constant coordinates correction corresponding cost counts cross-section crystal deconvolution defined density dependent described detector determined diffraction direct display distribution effects elastic scattering energy error estimate example experiment experimental Figure final Fourier function give given inelastic intensity ISIS known limit magnetic Maximum Entropy measured method neutron neutron scattering normalization obtained optimization parameters particular peak performed Phys physical plot positive possible powder presented prior probability problem procedure radial distribution functions range reconstruction References refinement reflections resolution sample scale scan shown shows simulated annealing single solution space spectrum standard statistical structure factor temperature transfer transform unit usually vanadium vector wavelength