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100   $a20150209h20142014  uy             0
101 0 $aeng
135   $aurnn#---|u||u
181   $ctxt
182   $cc
183   $acr
200 00$aUniform distribution and Quasi-Monte Carlo methods $ediscrepancy, integration and applications /$fedited by Peter Kritzer [and three others]
210  1$aBerlin, [Germany] ;$aBoston, [Massachusetts] :$cDe Gruyter,$d2014.
210  4$d©2014
215   $a1 online resource (270 p.)
225 1 $aRadon Series on Computational and Applied Mathematics,$x1865-3707 ;$vVolume 15
300   $aIncludes index.
311 0 $a3-11-031794-X 
311 0 $a3-11-031789-3 
327   $tFront matter --$tPreface --$tContents --$tMetric number theory, lacunary series and systems of dilated functions /$rAistleitner, Christoph --$tStrong uniformity /$rBeck, József --$tDiscrepancy theory and harmonic analysis /$rBilyk, Dmitriy --$tExplicit constructions of point sets and sequences with low discrepancy /$rDick, Josef / Pillichshammer, Friedrich --$tSubsequences of automatic sequences and uniform distribution /$rDrmota, Michael --$tOn Atanassov's methods for discrepancy bounds of low-discrepancy sequences /$rFaure, Henri --$tThe hybrid spectral test: a unifying concept /$rHellekalek, Peter --$tTractability of multivariate analytic problems /$rKritzer, Peter / Pillichshammer, Friedrich / Wo?niakowski, Henryk --$tDiscrepancy estimates for sequences: new results and open problems /$rLarcher, Gerhard --$tA short introduction to quasi-Monte Carlo option pricing /$rLeobacher, Gunther --$tThe construction of good lattice rules and polynomial lattice rules /$rNuyens, Dirk --$tIndex --$tBackmatter
330   $aThis book is summarizing the results of the workshop "Uniform Distribution and Quasi-Monte Carlo Methods" of the RICAM Special Semester on "Applications of Algebra and Number Theory" in October 2013. The survey articles in this book focus on number theoretic point constructions, uniform distribution theory, and quasi-Monte Carlo methods. As deterministic versions of the Monte Carlo method, quasi-Monte Carlo rules enjoy increasing popularity, with many fruitful applications in mathematical practice, as for example in finance, computer graphics, and biology. The goal of this book is to give an overview of recent developments in uniform distribution theory, quasi-Monte Carlo methods, and their applications, presented by leading experts in these vivid fields of research.
410  0$aRadon series on computational and applied mathematics ;$vVolume 15.
606   $aUniform distribution (Probability theory)
606   $aMonte Carlo method
615  0$aUniform distribution (Probability theory)
615  0$aMonte Carlo method.
676   $a515.782
686   $aSK 180$qSEPA$2rvk
702   $aKritzer$b Peter
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910787074503321
996   $aUniform distribution and Quasi-Monte Carlo methods$93782834
997   $aUNINA