<?xml version="1.0" encoding="UTF-8"?>
<mods xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.loc.gov/mods/v3" version="3.1" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
  <titleInfo>
    <title>Fast sequential Monte Carlo methods for counting and optimization</title>
  </titleInfo>
  <name type="personal">
    <namePart>Rubinstein, Reuven Y.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Ridder, Ad</namePart>
    <namePart type="date">1955-</namePart>
  </name>
  <name type="personal">
    <namePart>Vaisman, Radislav.</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <genre authority="">Electronic books.</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">nju</placeTerm>
    </place>
    <dateIssued encoding="marc">2013</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="gmd">electronic resource</form>
    <extent>1 online resource.</extent>
  </physicalDescription>
  <abstract>This book presents the first comprehensive account of fast sequential Monte Carlo (SMC) methods for counting and optimization at an exceptionally accessible level. Written by authorities in the field, it places great emphasis on cross-entropy, minimum cross-entropy, splitting, and stochastic enumeration. The overall aim is to make SMC methods accessible to readers who want to apply and to accentuate the unifying and novel mathematical ideas behind SMC in their future studies or work.</abstract>
  <tableOfContents>Series; Copyright; Dedication; Chapter 1: Introduction to Monte Carlo Methods; Chapter 2: Cross-Entropy Method; 2.1 Introduction; 2.2 Estimation of Rare-Event Probabilities; 2.3 Cross-Entropy Method forOptimization; 2.4 Continuous Optimization; 2.5 Noisy Optimization; Chapter 3: Minimum Cross-Entropy Method; 3.1 Introduction; 3.2 Classic MinxEnt Method; 3.3 Rare Events and MinxEnt; 3.4 Indicator MinxEnt Method; 3.5 IME Method for Combinatorial Optimization; Chapter 4: Splitting Method for Counting and Optimization; 4.1 Background; 4.2 Quick Glance at the Splitting Method</tableOfContents>
  <tableOfContents>4.3 Splitting Algorithm with Fixed Levels4.4 Adaptive Splitting Algorithm; 4.5 Sampling Uniformly on Discrete Regions; 4.6 Splitting Algorithm for Combinatorial Optimization; 4.7 Enhanced Splitting Method for Counting; 4.8 Application of Splitting to Reliability Models; 4.9 Numerical Results with the Splitting Algorithms; 4.10 Appendix: Gibbs Sampler; Chapter 5: Stochastic Enumeration Method; 5.1 Introduction; 5.2 OSLA Method and Its Extensions; 5.3 SE Method; 5.4 Applications of SE; 5.5 Numerical Results; Appendix A: Additional Topics; A.1 Combinatorial Problems; A.2 Information</tableOfContents>
  <tableOfContents>A.3 Efficiency of EstimatorsBibliography; Abbreviations and Acronyms; List of Symbols; Index; Series</tableOfContents>
  <note type="statement of responsibility">Reuven Rubinstein, Faculty of Industrial Engineering and Management, Technion, Israel Institute of Technology, Haifa, Israel, Ad Ridder, Department of Econometrics and Operations Research, Vrije University, Amsterdam, Netherlands, Radislav Vaisman, Faculty of Industrial Engineering and Management, Technion, Israel Institute of Technology, Haifa, Israel.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Monte Carlo method</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Mathematical optimization</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>MATHEMATICS</topic>
    <topic>Numerical Analysis</topic>
  </subject>
  <subject authority="fast">
    <topic>Mathematical optimization</topic>
  </subject>
  <subject authority="fast">
    <topic>Monte Carlo method</topic>
  </subject>
  <subject authority="gnd">
    <topic>Sequentielle Monte-Carlo-Methode</topic>
  </subject>
  <subject authority="gnd">
    <topic>Optimierung</topic>
  </subject>
  <classification authority="lcc">T57.64</classification>
  <classification authority="ddc" edition="23">518/.282</classification>
  <relatedItem type="otherFormat" displayLabel="Print version:">
    <titleInfo>
      <title>Fast sequential Monte Carlo methods for counting and optimization</title>
    </titleInfo>
    <name>
      <namePart>Rubinstein, Reuven Y.</namePart>
    </name>
    <originInfo>
      <publisher>Hoboken, New Jersey : John Wiley &amp; Sons, Inc., [2013]</publisher>
    </originInfo>
    <identifier type="local">(DLC)  2013011113</identifier>
  </relatedItem>
  <relatedItem type="series">
    <titleInfo>
      <title>Wiley series in probability and statistics</title>
    </titleInfo>
  </relatedItem>
  <identifier type="isbn">9781118612316 (pdf)</identifier>
  <identifier type="isbn">1118612310 (pdf)</identifier>
  <identifier type="isbn" invalid="yes"/>
  <identifier type="isbn">9781118612354</identifier>
  <identifier type="isbn">1118612353</identifier>
  <identifier type="isbn">9781118612378</identifier>
  <identifier type="isbn">111861237X</identifier>
  <identifier type="isbn">9781118612323</identifier>
  <identifier type="isbn">1118612329</identifier>
  <identifier type="isbn">9781306118422</identifier>
  <identifier type="isbn">1306118425</identifier>
  <identifier type="isbn" invalid="yes"/>
  <identifier type="lccn">2013019187</identifier>
  <identifier type="issue number">EB00063967 Recorded Books</identifier>
  <identifier type="stock number">CL0500000419 Safari Books Online</identifier>
  <identifier type="uri">http://onlinelibrary.wiley.com/book/10.1002/9781118612323</identifier>
  <location>
    <url>http://onlinelibrary.wiley.com/book/10.1002/9781118612323</url>
  </location>
  <recordInfo>
    <recordContentSource authority="marcorg">DLC</recordContentSource>
    <recordCreationDate encoding="marc">130509</recordCreationDate>
    <recordChangeDate encoding="iso8601">20171106121152.0</recordChangeDate>
    <recordIdentifier source="OCoLC">ocn843010592</recordIdentifier>
    <languageOfCataloging>
      <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
    </languageOfCataloging>
  </recordInfo>
</mods>
