Titlebook: Handbook of Global Optimization; Volume 2 Panos M. Pardalos,H. Edwin Romeijn Book 2002 Springer Science+Business Media Dordrecht 2002 algor

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Dataflow Learning in Coupled Lattices: An Application to Artificial Neural Networks,parameters. This view extends the conventional paradigm of static neural networks and shines light on the principles of parameter optimization, both for the static and dynamic cases. We show how gradient descent learning can be naturally implemented with local rules in coupled lattices. We review th

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Taboo Search: An Approach to the Multiple-Minima Problem for Continuous Functions,demonstrated by model calculations, the algorithm avoids entrapment in local minima and continues the search to give a near-optimal final solution. The procedure is generally applicable, derivative-free, easy to implement, conceptually simpler than Simulated Annealing and open to further improvement

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Recent Advances in the Direct Methods of X-Ray Crystallography,axima, and conversely. If, however, as is always the case, only magnitudes are available from the diffraction experiment, then the density function .(r) cannot be recovered. If one invokes prior structural knowledge, usually that the crystal is composed of discrete atoms of known atomic numbers, the