LEADER 02131nam 2200457 450 001 9910155544903321 005 20230421030718.0 035 $a(CKB)3710000000966233 035 $a(MiAaPQ)EBC4756348 035 $a(WSP)00001011 035 $a(EXLCZ)993710000000966233 100 $a20161223e19981990 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 00$aFinite size scaling and numerical simulation of statistical systems /$feditor, V. Privman 210 1$aSingapore :$cWorld Scientific,$d1998. 210 4$dİ1990 215 $a1 online resource (530 pages) $cillustrations 300 $aTitle from PDF file title page (viewed November 16, 2016). 320 $aIncludes bibliographical references. 330 $a"The theory of Finite Size Scaling describes a build-up of the bulk properties when a small system is increased in size. This description is particularly important in strongly correlated systems where critical fluctuations develop with increasing system size, including phase transition points, polymer conformations. Since numerical computer simulations are always done with finite samples, they rely on the Finite Size Scaling theory for data extrapolation and analysis. With the advent of large scale computing in recent years, the use of the size-scaling methods has become increasingly important."--Publisher's website. 606 $aFinite size scaling (Statistical physics) 606 $aPhase transformations (Statistical physics) 606 $aMonte Carlo method 606 $aCritical phenomena (Physics) 615 0$aFinite size scaling (Statistical physics) 615 0$aPhase transformations (Statistical physics) 615 0$aMonte Carlo method. 615 0$aCritical phenomena (Physics) 676 $a530.1/3 702 $aPrivman$b V$g(Vladimir),$f1955- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910155544903321 996 $aFinite size scaling and numerical simulation of statistical systems$92586006 997 $aUNINA