Pseudo-random number sampling

Results: 9



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1Total Variation Reconstruction From Quasi-Random Samples Colas Schretter1,2 , Ignace Loris3 , Ann Dooms1,2 and Peter Schelkens1,2 1 Vrije Universiteit Brussel, Dept. of Electronics and Informatics, Pleinlaan 2, B-1050 Br

Total Variation Reconstruction From Quasi-Random Samples Colas Schretter1,2 , Ignace Loris3 , Ann Dooms1,2 and Peter Schelkens1,2 1 Vrije Universiteit Brussel, Dept. of Electronics and Informatics, Pleinlaan 2, B-1050 Br

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Source URL: homepages.ulb.ac.be

Language: English - Date: 2014-02-26 11:10:13
2Total Variation Reconstruction From Quasi-Random Samples ABSTRACT Pseudo-random numbers are often used for generating incoherent uniformly distributed sample distributions.

Total Variation Reconstruction From Quasi-Random Samples ABSTRACT Pseudo-random numbers are often used for generating incoherent uniformly distributed sample distributions.

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Source URL: homepages.ulb.ac.be

Language: English - Date: 2014-11-17 05:12:41
3スライド タイトルなし

スライド タイトルなし

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Source URL: rcwww.kek.jp

Language: English - Date: 2012-07-09 09:52:58
4Contents  Part I Preliminaries 1  Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Contents Part I Preliminaries 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

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Source URL: statistik.wu-wien.ac.at

Language: English - Date: 2006-10-24 05:17:21
5USER MANUAL  UNURAN for Windows VERSION 0.6.0  INTRODUCTION

USER MANUAL UNURAN for Windows VERSION 0.6.0 INTRODUCTION

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Source URL: statistik.wu-wien.ac.at

Language: English - Date: 2006-01-05 04:03:47
6UNU.RAN User Manual Generating non-uniform random numbers Version 1.8.0, 25 October 2010 Josef Leydold Wolfgang H¨

UNU.RAN User Manual Generating non-uniform random numbers Version 1.8.0, 25 October 2010 Josef Leydold Wolfgang H¨

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Source URL: statistik.wu-wien.ac.at

Language: English - Date: 2010-10-25 12:24:27
7Random Sampling with a Reservoir JEFFREY SCOTT VITTER Brown University We introduce fast algorithms for selecting a random sample of n records without replacement from a pool of N records, where the value of N is unknown

Random Sampling with a Reservoir JEFFREY SCOTT VITTER Brown University We introduce fast algorithms for selecting a random sample of n records without replacement from a pool of N records, where the value of N is unknown

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Source URL: www.mathcs.emory.edu

Language: English - Date: 2005-10-15 23:23:14
8Random Sampling with a Reservoir JEFFREY SCOTT VITTER Brown University We introduce fast algorithms for selecting a random sample of n records without replacement from a pool of N records, where the value of N is unknown

Random Sampling with a Reservoir JEFFREY SCOTT VITTER Brown University We introduce fast algorithms for selecting a random sample of n records without replacement from a pool of N records, where the value of N is unknown

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Source URL: www.mathcs.emory.edu

Language: English - Date: 2005-10-15 23:23:14
9

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Source URL: www.cs.umd.edu

Language: English - Date: 2008-02-12 13:33:44