000			01640nam a22003135i 4500
001			92400
005			20240202151702.0
010			_a978-3-030-98319-2 _dcompra
090			_a92400
100			_a20231023d2022 k||y0pory50 ba
101	0		_aeng
102			_aCH
200	1		_aMonte Carlo and quasi-Monte Carlo methods _bDocumento eletrónico _eMCQMC 2020, Oxford, United Kingdom, August 10-14 _gedited by Alexander Keller
210			_aCham _cSpringer International Publishing _d2022
215			_aXVI, 311 p. _cil.
225	2		_aSpringer proceedings in mathematics & statistics _v387
303			_aThis volume presents the revised papers of the 14th International Conference in Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, MCQMC 2020, which took place online during August 10-14, 2020. This book is an excellent reference resource for theoreticians and practitioners interested in solving high-dimensional computational problems, arising, in particular, in statistics, machine learning, finance, and computer graphics, offering information on the latest developments in Monte Carlo and quasi-Monte Carlo methods and their randomized versions.
606			_aStatistics
606			_aNumber theory
606			_aFunctional analysis
606			_aMathematical optimization
680			_aQA276-280
702			_942229 _aKeller _bAlexander _4340
710			_970653 _aMonte Carlo and Quasi-Monte Carlo Methods in Scientific Computing _eOxford, United Kingdom _fAugust 10-14, 2020
801		0	_aPT _gRPC
856	4		_uhttps://doi.org/10.1007/978-3-030-98319-2
942			_2lcc _cF _n0