Probability Models for Computer Science
Autor Sheldon M. Rossen Limba Engleză Hardback – 11 iul 2001
Many interesting examples and exercises have been chosen to illuminate the techniques presentedExamples relating to bin packing, sorting algorithms, the find algorithm, random graphs, self-organising list problems, the maximum weighted independent set problem, hashing, probabilistic verification, max SAT problem, queuing networks, distributed workload models, and many othersMany interesting examples and exercises have been chosen to illuminate the techniques presented
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Specificații
ISBN-13: 9780125980517
ISBN-10: 0125980515
Pagini: 304
Dimensiuni: 152 x 229 x 18 mm
Greutate: 0.58 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0125980515
Pagini: 304
Dimensiuni: 152 x 229 x 18 mm
Greutate: 0.58 kg
Editura: ELSEVIER SCIENCE
Public țintă
Primary market is emerging upper undergraduate courses devoted to probability (and statistics) for computer scientists. A strong secondary market will be to practitioners in the fieldCuprins
Review of Probability; Some Examples; Poisson and Compound Poisson Variables; Approximations and Processes; Markov Chains; Queuing; Random Algorithms and the Probabilistic Method; Martingales; Simulation.