| Record ID | marc_columbia/Columbia-extract-20221130-011.mrc:120533388:1870 |
| Source | marc_columbia |
| Download Link | /show-records/marc_columbia/Columbia-extract-20221130-011.mrc:120533388:1870?format=raw |
LEADER: 01870cam a2200301Ia 4500
001 5267625
005 20221110003953.0
008 050128t20042004njua b 001 0 eng d
020 $a9812389350
035 $a(OCoLC)ocm57519136
035 $a(NNC)5267625
035 $a5267625
040 $aSCT$cSCT$dOCLCQ$dOrLoB-B
090 $aQC174.85.M64$bB44 2004
100 1 $aBerg, Bernd A.$0http://id.loc.gov/authorities/names/no2005010557
245 10 $aMarkov chain Monte Carlo simulations and their statistical analysis :$bwith web-based Fortran code /$cBernd A. Berg.
260 $aHackensack, NJ :$bWorld Scientific,$c[2004], ©2004.
300 $axv, 361 pages :$billustrations ;$c24 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
504 $aIncludes bibliographical references (p. 339-348) and index.
505 00 $g1.$tSampling, statistics and computer code -- $g2.$tError analysis for independent random variables -- $g3.$tMarkov chain Monte Carlo -- $g4.$tError analysis for Markov chain data -- $g5.$tAdvanced Monte Carlo -- $g6.$tParallel computing -- $g7.$tConclusions, history and outlook -- $gApp. A.$tComputational supplements -- $gApp. B.$tMore exercises and some solutions -- $gApp. C.$tMore Fortran routines.
520 1 $a"This book teaches modern Markov chain Monte Carlo (MC) simulation techniques step by step. The material should be accessible to advanced undergraduate students and is suitable for a course."--BOOK JACKET.
650 0 $aMarkov processes.$0http://id.loc.gov/authorities/subjects/sh85081369
650 0 $aMonte Carlo method.$0http://id.loc.gov/authorities/subjects/sh85087032
650 0 $aStatistical physics.$0http://id.loc.gov/authorities/subjects/sh85127573
650 0 $aFORTRAN 77 (Computer program language)$0http://id.loc.gov/authorities/subjects/sh89003275
852 00 $bmat$hQC174.85.M64$iB47 2004g