Stochastic Algorithms: Foundations and Applications
Editat de Andreas Albrecht, Kathleen Steinhöfelen Limba Engleză Paperback – 16 sep 2003
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Specificații
ISBN-13: 9783540201038
ISBN-10: 3540201033
Pagini: 184
Ilustrații: VIII, 172 p.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.29 kg
Ediția:2003
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540201033
Pagini: 184
Ilustrații: VIII, 172 p.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.29 kg
Ediția:2003
Editura: Springer
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Prospects of Quantum Informatics.- A Converging ACO Algorithm for Stochastic Combinatorial Optimization.- Optimality of Randomized Algorithms for the Intersection Problem.- Stochastic Algorithms for Gene Expression Analysis.- Analysis of a Randomized Local Search Algorithm for LDPCC Decoding Problem.- Testing a Simulated Annealing Algorithm in a Classification Problem.- Global Search through Sampling Using a PDF.- Simulated Annealing for Optimal Pivot Selection in Jacobian Accumulation.- Quantum Data Compression.- Who’sThe Weakest Link?.- On the Stochastic Open Shop Problem.- Global Optimization – Stochastic or Deterministic?.- Two-Component Traffic Modelled by Cellular Automata: Imposing Passing Restrictions on Slow Vehicles Increases the Flow.- Average-Case Complexity of Partial Boolean Functions.- Classes of Binary Rational Distributions Closed under Discrete Transformations.
Caracteristici
Includes supplementary material: sn.pub/extras