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Books > Business & Economics > Business & management > Management & management techniques > Operational research

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The Cross-Entropy Method - A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning (Hardcover, 2004 ed.) Loot Price: R4,876

Discovery Miles 48 760

Repayment Terms: R457 pm x 12*

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The Cross-Entropy Method - A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning...

The Cross-Entropy Method - A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning (Hardcover, 2004 ed.)

Reuven Y. Rubinstein, Dirk P. Kroese

Series: Information Science and Statistics

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Loot Price R4,876 Discovery Miles 48 760 | Repayment Terms: R457 pm x 12*

Expected to ship within 10 - 15 working days

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Rubinstein is the pioneer of the well-known score function and cross-entropy methods.

Accessible to a broad audience of engineers, computer scientists, mathematicians, statisticians and in general anyone, theorist and practitioner, who is interested in smart simulation, fast optimization, learning algorithms, and image processing.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Information Science and Statistics
Release date:	July 2004
First published:	2004
Authors:	Reuven Y. Rubinstein • Dirk P. Kroese
Dimensions:	235 x 155 x 26mm (L x W x T)
Format:	Hardcover
Pages:	301
Edition:	2004 ed.
ISBN-13:	978-0-387-21240-1
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	0-387-21240-X
Barcode:	9780387212401