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A Tool for Custom Construction of QMC and RQMC Point Sets
v1v2 (latest)

A Tool for Custom Construction of QMC and RQMC Point Sets

Monte Carlo and Quasi-Monte Carlo Methods (MCQMC), 2020
18 December 2020
P. LÉcuyer
Pierre Marion
Maxime Godin
F. Puchhammer
ArXiv (abs)PDFHTML

Papers citing "A Tool for Custom Construction of QMC and RQMC Point Sets"

8 / 8 papers shown
Message-Passing Monte Carlo: Generating low-discrepancy point sets via
  Graph Neural Networks
Message-Passing Monte Carlo: Generating low-discrepancy point sets via Graph Neural Networks
T. Konstantin Rusch
Nathan Kirk
M. Bronstein
Christiane Lemieux
Daniela Rus
294
16
0
23 May 2024
Challenges in Developing Great Quasi-Monte Carlo Software
Challenges in Developing Great Quasi-Monte Carlo Software
Sou-Cheng T. Choi
Yuhan Ding
F. J. Hickernell
Rathinavel Jagadeeswaran
Aleksei G. Sorokin
142
4
0
10 Nov 2023
Quasi-Monte Carlo Algorithms (not only) for Graphics Software
Quasi-Monte Carlo Algorithms (not only) for Graphics Software
A. Keller
Carsten Wächter
Nikolaus Binder
154
1
0
28 Jul 2023
A search for short-period Tausworthe generators over $\mathbb{F}_b$ with
  application to Markov chain quasi-Monte Carlo
A search for short-period Tausworthe generators over Fb\mathbb{F}_bFb​ with application to Markov chain quasi-Monte CarloJournal of Statistical Computation and Simulation (JSCS), 2023
S. Harase
171
1
0
19 Mar 2023
Generator Matrices by Solving Integer Linear Programs
Generator Matrices by Solving Integer Linear Programs
L. Paulin
D. Coeurjolly
Nicolas Bonneel
J. Iehl
V. Ostromoukhov
Alex Keller
146
6
0
27 Feb 2023
Super-polynomial accuracy of one dimensional randomized nets using the
  median-of-means
Super-polynomial accuracy of one dimensional randomized nets using the median-of-means
Z. Pan
Art B. Owen
205
21
0
24 Nov 2021
Variance Reduction with Array-RQMC for Tau-Leaping Simulation of
  Stochastic Biological and Chemical Reaction Networks
Variance Reduction with Array-RQMC for Tau-Leaping Simulation of Stochastic Biological and Chemical Reaction NetworksBulletin of Mathematical Biology (Bull. Math. Biol.), 2020
F. Puchhammer
Amal Ben Abdellah
P. LÉcuyer
224
6
0
01 Sep 2020
Monte Carlo and Quasi-Monte Carlo Density Estimation via Conditioning
Monte Carlo and Quasi-Monte Carlo Density Estimation via ConditioningINFORMS journal on computing (IJOC), 2019
P. LÉcuyer
F. Puchhammer
Amal Ben Abdellah
313
24
0
11 Jun 2019
1
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