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Simulated annealing / Maximum likelihood / Mathematical optimization / Partition function / Stochastic optimization / Adaptive simulated annealing / Quantum annealing / Estimation theory / Statistics / Numerical analysis


Draft of paper appearing in: %A L. Ingber %T Very fast simulated re-annealing %J Mathl. Comput. Modelling %V 12 %P[removed]
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Document Date: 2012-06-26 15:07:35


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Washington / DC / Monterey / Amsterdam / London / Dordrecht / New York / /

Company

Oxford University Press / SAIC / Wiley & Sons / /

Country

Netherlands / /

Facility

National Defense University / University of Paris / /

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empirical systems / combat systems / few quick algorithms / multi-dimensional search / path integral solutions / large-scale nonlinear stochastic systems / wired computer chip / particular systems / neuroscience systems / numerical algorithm / chemical and electrical synaptic parameters / above systems / physical systems / mechanics algorithm / energy / /

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University of Paris / National Defense University / Washington / Very Fast Simulated Re-Annealing Lester Ingber Physics Department / National Training Center / U.S. Army Concepts Analysis Agency / Oxford University / Naval Postgraduate School / U.S. Securities and Exchange Commission / /

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Lester Ingber / M.P. Vecchi / S. Kirkpatrick / Ai / Lester Ingber IV / Equation / C.D. Gelatt / Jr. / /

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VP / A.H. Teller / and E. Teller / /

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FL / DC / /

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Virginia / Maryland / California / New York / /

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neuroscience / Discussion An algorithm / Statistical mechanics algorithm / artificial intelligence / numerical algorithm / 2797 An algorithm / densely wired computer chip / /

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