LEADER 00000uam a2200433 a 4500 
003    CaSebORM 
005    20200110021437.1 
006    m     o  d         
007    cr cn          
008    040414s2013    xx      o           eng   
024 8  9781118612354 
035    (CaSebORM)9781118612354 
041 0  eng 
100 1  Rubinstein, Reuven,|eauthor. 
245 10 Fast Sequential Monte Carlo Methods for Counting and 
       Optimization|h[O'Reilly electronic resource] /|cRubinstein,
       Reuven. 
250    1st edition 
264  1 |bWiley,|c2013. 
300    1 online resource (208 pages) 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file 
365    |b109.95 
520    A comprehensive account of the theory and application of 
       Monte Carlo methods Based on years of research in 
       efficient Monte Carlo methods for estimation of rare-event
       probabilities, counting problems, and combinatorial 
       optimization, Fast Sequential Monte Carlo Methods for 
       Counting and Optimization is a complete illustration of 
       fast sequential Monte Carlo techniques. The book provides 
       an accessible overview of current work in the field of 
       Monte Carlo methods, specifically sequential Monte Carlo 
       techniques, for solving abstract counting and optimization
       problems. Written by authorities in the field, the book 
       places emphasis on cross-entropy, minimum cross-entropy, 
       splitting, and stochastic enumeration. Focusing on the 
       concepts and application of Monte Carlo techniques, Fast 
       Sequential Monte Carlo Methods for Counting and 
       Optimization includes: Detailed algorithms needed to 
       practice solving real-world problems Numerous examples 
       with Monte Carlo method produced solutions within the 1-2%
       limit of relative error A new generic sequential 
       importance sampling algorithm alongside extensive 
       numerical results An appendix focused on review material 
       to provide additional background information Fast 
       Sequential Monte Carlo Methods for Counting and 
       Optimization is an excellent resource for engineers, 
       computer scientists, mathematicians, statisticians, and 
       readers interested in efficient simulation techniques. The
       book is also useful for upper-undergraduate and graduate-
       level courses on Monte Carlo methods. 
533    Electronic reproduction.|bBoston, MA :|cSafari,|nAvailable
       via World Wide Web.|d2014. 
538    Mode of access: World Wide Web. 
542    |fCopyright © Wiley|g2014 
550    Made available through: Safari, an O’Reilly Media Company.
588 00 Online resource; Title from title page (viewed December 4,
       2013) 
655  7 Electronic books.|2local 
700 1  Ridder, Ad,|eauthor. 
700 1  Vaisman, Radislav,|eauthor. 
710 2  Safari, an O’Reilly Media Company. 
856 40 |zConnect to this resource online|uhttps://
       ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/-/9781118612354/?ar