|
|
|

Below, we give an overview of our research and publications on theoretical,
empirical and
computational
aspects of random number generation and related topics (the named
publications are available in bibtex
format). Selected empirical results and documentations are also
available in our pLab
report series.
Of course, this list of publications is not up to date - we prefer
research to administration. For the newest results, please contact
us personally.
THEORETICAL RESULTS
Entacher, K.: Generalized Haar function systems
in the theory of uniform distributions of sequences modulo one.
PhD thesis, University of Salzburg, 1995. Karl Entacher will send
you his thesis in postscript on request.
Entacher, K.: Numerical
integration with generalized Haar function systems. In
Hellekalek, P. and Larcher, G. and Zinterhof, P., editor(s), Proceedings
of the 1st Salzburg Minisymposium on Pseudorandom Number Generation
and Quasi-Monte Carlo Methods, Salzburg, Nov 18, 1994, volume
ACPC/TR 95-4 of Technical Report Series, pp. 25--41. ACPC -- Austrian
Center for Parallel Computation, University of Vienna, Austria,
1995.
Abstract available.
Entacher, K.: Generalized
Haar function systems, digital nets and quasi-Monte Carlo integration.
In H.H. Szu, editor(s), Wavelet Applications III of Proc. SPIE
2762. , 1996. Abstract
available.
Entacher, K.: Quasi-Monte Carlo methods for numerical integration
of multivariate Haar series. BIT,
37: (4) 846--861, 1997.
Entacher, K.: Quasi-Monte Carlo methods for numerical integration
of multivariate Haar series II. BIT,
38: (2) 284--292, 1998.
Entacher, K.: A
collection of selected pseudorandom number generators with linear
structures, number 97-1. ACPC -- Austrian Center for Parallel
Computation, University of Vienna, Austria, 1997.
Abstract available.
Entacher, K.: Bad subsequences of well-known linear congruential
pseudorandom number generators. ACM
Transactions on Modeling and Computer Simulation, 7: (1) 61--70,
1998.
Entacher, K.: Parallel
Streams of Linear Random Numbers in the Spectral Test.
ACM Transactions on Modeling and Computer Simulation, :, 1999.
To appear.
Entacher, K.: On the Cray-System Random Number Generator.
1999. SIMULATION to appear.
Entacher, K. and Hellekalek, P. and L'Ecuyer, P.: Quasi-Monte
Carlo Integration with Linear Congruential Generators. 1999.
To appear in the conference proceedings of
Monte Carlo and Quasi-Monte Carlo Methods 1998, Springer-Verlag.
Hellekalek, P.: General discrepancy estimates: the Walsh function
system. Acta Arith., 67: 209--218, 1994.
Hellekalek, P.: General discrepancy estimates II: the Haar
function system. Acta Arith., 67: 313--322, 1994.
Hellekalek, P.: General discrepancy estimates III: the Erdös-Turán-Koksma
inequality for the Haar function system. Monatsh. Math., 120:
25--45, 1995.
Hellekalek, P.: Study
of algorithms for primitive polynomials. Report D5H-1,
CEI-PACT Project, WP5.1.2.1.2, Research Institute for Software
Technology, University of Salzburg, Austria, 1994.
Abstract available.
Hellekalek, P.: Inversive
pseudorandom number generators: concepts, results, and links.
In Alexopoulos, C. and Kang, K. and Lilegdon, W.R. and Goldsman,
D., editor(s), Proceedings of the 1995 Winter Simulation Conference,
pp. 255--262. , 1995.
Abstract available.
Hellekalek, P. and Entacher, K.: Tables
of IMP-polynomials. Report D5H-4, CEI-PACT Project, WP5.1.2.1.2,
Research Institute for Software Technology, University of Salzburg,
Austria, 1995.
Abstract available.
Hellekalek, P. and Niederreiter, H.: The
Weighted Spectral Test: Diaphony. ACM Transactions on
Modeling and Computer Simulation, 8: (1) , 1998.
Hellekalek, P. and Leeb, H.: Dyadic diaphony. Acta Arith.,
80: 187-196, 1997. Abstract
available.
ellekalek, P.: On correlation analysis of pseudorandom numbers.
In Niederreiter, H. and Hellekalek, P. and Larcher, G. and Zinterhof,
P., editor(s), Proceedings of the Second International Conference
on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing,
Salzburg, July 9--12, 1996 of Lecture Notes in Statistics. Springer-Verlag,
New York, .
Hellekalek, P.: Good random number generators are (not so)
easy to find. In Troch, I. and Breitenecker, F., editor(s),
Proc. Second IMACS Symposium on Mathematical Modelling, Vienna.
ARGESIM-Reports, ISBN 3-901608-11-7, .
Hellekalek, P.: On the assessment of random and quasi-random
point sets. In Hellekalek, P. and Larcher, G., editor(s),
Pseudo and Quasi-Random Point Sets of Lecture Notes in Statistics.
Springer-Verlag, New York, 1998.
Leeb, H.: Random
Numbers for Computer Simulation. Master's thesis, University
of Salzburg, 1995.
Abstract available.
Leeb, H.: A
weak law for diaphony. RIST++ 13, Research Institute for
Software Technology, University of Salzburg, 1996. Abstract
available.
Leeb, H.: The
asymptotic distribution of diaphony in one dimension.
G-96-52, GERAD - Ecole des Hautes Etudes Commerciales, Montreal,
1996. Abstract
available.
Leeb, H.: Weak limits for diaphony. Lecture Notes in Stat.,
1997. to appear. Abstract
available.
Wegenkittl, S.: Empirical
Testing of Pseudorandom Number Generators. Master's thesis,
Universität Salzburg, Österreich, 1995. HTML version:
http://random.mat.sbg.ac.at/~ste/dipl..
Wegenkittl, S.: Are
there hyperbola in the scatter plots of inversive congruential
pseudorandom numbers?. J. Computational And Applied Mathematics,
95: (1-2) 117--125, 1998.
Wegenkittl, S.: Generalized
Phi-Divergence and Frequency Analysis in Markov Chains.
PhD thesis, Universität Salzburg, Österreich, 1998.
HTML version: http://random.mat.sbg.ac.at/~ste/diss..
Wegenkittl,
S.: A generalized -divergence for asymptotically multivariate
normal models.
1999. Submitted for publication..
Wegenkittl,
S.: Gambling Tests for Pseudorandom Number Generators.
1999. To appear in Mathematics and Computers in Simulation..
Weingartner, A.: Nonlinear
congruential pseudorandom number generators. Master's
thesis, University of Salzburg, 1994.
Abstract available.
Schaber, K.: Digital inversive congruential generators.
Master's thesis, Institut für Mathematik, Universität
Salzburg, Austria, 1997. Thesis in postscript available on request.
EMPIRICAL RESULTS
Entacher, K.: Selected random number generators in
run tests. Preprint, Mathematics Institute, University of Salzburg.
Entacher, K. and Leeb, H.: Inversive
pseudorandom number generators: empirical results. In
Proceedings of the Conference Parallel Numerics 95, Sorrento,
Italy, September 27--29, 1995. , 1995.
Abstract available.
Hellekalek, P. and Mayer, M. and Weingartner, A.: Implementation
of algorithms for IMP-polynomials. Report D5H-2, CEI-PACT
Project, WP5.1.2.1.2, Research Institute for Software Technology,
University of Salzburg, Austria, 1994.
Abstract available.
Leeb, H.: On
the digit test. In Hellekalek, P. and Larcher, G. and
Zinterhof, P., editor(s), Proceedings of the 1st Salzburg Minisymposium
on Pseudorandom Number Generation and Quasi-Monte Carlo Methods,
Salzburg, Nov 18, 1994, volume ACPC/TR 95-4 of Technical Report
Series, pp. 109--121. ACPC -- Austrian Center for Parallel Computation,
University of Vienna, Austria, 1995.
Abstract available.
Leeb, H. and Wegenkittl, S.: Inversive
and linear congruential pseudorandom number generators in selected
empirical tests. ACM Transactions on Modeling and Computer
Simulation, 7: (2) , 1997.
Abstract available.
Eichenauer-Herrmann, J. and Herrmann, E. and Wegenkittl, S.:
A
survey of quadratic and inversive congruential pseudorandom numbers.
In Niederreiter, H. and Hellekalek, P. and Larcher, G. and Zinterhof,
P., editor(s), Monte Carlo and Quasi-Monte Carlo Methods 1996,
number 127 of Lecture Notes in Statistics, pp. 66--97. Springer,
New York, 1997.
L'Ecuyer, P. and Simard, R. and Wegenkittl, S.: Sparse
Serial Tests of Uniformity for Random Number Generators.
1998. Submitted for publication.
Wegenkittl, S.: On
Empirical Testing of Pseudorandom Number Generators. In
De Pietro,G. and Giordano, A. and Vajtersic, M. and Zinterhof,
P., editor(s), Proceedings of the international workshop Parallel
Numerics '95. CEI-PACT Project, WP5.1.2.1.2. , 1995.
Entacher, K. and Uhl, A. and Wegenkittl, S.: Analyzing Streams
of Pseudorandom Numbers for Parallel Monte Carlo Integration.
In Wyrzykowski, R. and Piech, H. and Vajtersic, M. and Zinterhof,
P., editor(s), Proceedings of the international Workshop Parallel
Numerics' 97, pp. 59--71. , Zakopane, Poland, 1997.
Entacher, K. and Uhl, A. and Wegenkittl, S.: Linear and Inversive
Pseudorandom Numbers for Parallel and Distributed Simulation.
In Twelfth Workshop on Parallel and Distributed Simultation PADS'98,
pp. 90--97. IEEE Computer Society, Los Alamitos, California, Banff,
Alberta, Canada, 1998.
Entacher, K. and Uhl, A. and Wegenkittl, S.: Parallel
Random Number Generation: Long-Range Correlations Among Multiple
Processors. In Zinterhof, P. and Vajtersic, M. and Uhl,
A., editor(s), Parallel Computation. Proceedings of the 4th International
Conference of the ACPC (
ACPC99) of Lecture Notes in Computer Science, pp. 107--116.
Springer-Verlag, 1999.
L'Ecuyer, P. and Hellekalek, P.: Testing random number generators.
In Hellekalek, P. and Larcher, G., editor(s), Random and Quasi-Random
Point Sets of Lecture Notes in Statistics, pp. 223-265. Springer-Verlag,
New York, .
Entacher, K. and Hellekalek, P. and L'Ecuyer, P.: Quasi-Monte Carlo
node sets from linear congruential generators. In Niederreiter,
H. and Spanier, J., editor(s), Monte Carlo and Quasi-Monte Carlo
Methods 1998 of Springer Lectures Notes in Computational Science
end Engineering. Springer-Verlag, New York, 2000.
Hellekalek, P.: Don't trust parallel Monte Carlo!. In
Twelfth Workshop on Parallel and Distributed Simulation, Pads'98,
May 26-29, 1998, Banff, Alberta, Canada, pp. 82-89. IEEE Computer
Society, Los Alamitos, California, .
SOFTWARE
Otmar Lendl implemented portable,
high-performance ANSI-C implementations of the linear congruential,
inversive congruential and explicit inversive congruential random
number generators (LCG, ICG and EICG, respectively). The source-code
is available in tar-ed or zip-ed format.
pLab is an object oriented system for generating and
testing random numbers designed by Hannes Leeb under the supervision
of Peter Hellekalek. It was implemented in C++ by Thomas Auer, Hannes
Leeb and Otmar Lendl, in Mathematica by Karl Entacher, and in Smalltalk
80 by Hannes Leeb. We use it to for various statistical tests, discrepancy
computations and scatter plots. You can download
it to test your generator.
Important notice! We are sorry, but we cannot support pLab any
longer. For this reason, you will have to cope with problems yourself.
For more information on pLab, see
Leeb, H.: pLab
-- a system for generating and testing random numbers. Report
No. 3, pLab -- reports, University of Salzburg, 1997.
Abstract and
compressed postscript file available .
Leeb, H. and Lendl, O.: pLab
-- Library reference, Version 1.0. Report No. 4, pLab
-- reports, University of Salzburg, 1997.
Abstract and
compressed postscript file available .
Leeb, H.: pLab
-- a system for testing random numbers. In Vajtersic,
M. and Zinterhof, P., editor(s), Proceedings of the International
Workshop Parallel Numerics '94, Smolenice, Sept. 19--21, pp. 89--99.
Slovak Academy of Sciences, Institute for Informatics, Slovakia,
1994.
Abstract available.
PLAB - REPORT SERIES
The aim of this report series is the fast distribution of recent
results of the pLab research group. Some of these postscript documents
(rep. 1,2,6) are very large (5 MB), download the compressed versions!
Wegenkittl, S.: The
pLab Picturebook: Load Tests and Ultimate Load Tests, Part I.
Report No. 1, pLab -- reports, University of Salzburg, 1997.
Abstract and
compressed postscript file available.
Entacher, K. and Wegenkittl, Stefan: The
pLab Picturebook: Load Tests and Ultimate Load Tests, Part II:
Subsequences. Report No. 2, pLab -- reports, University
of Salzburg, 1997.
Abstract and
compressed postscript file available .
Leeb, H.: pLab
-- a system for generating and testing random numbers.
Report No. 3, pLab -- reports, University of Salzburg, 1997.
Abstract and
compressed postscript file available.
Leeb, H. and Lendl, O.: pLab
-- Library reference, Version 1.0. Report No. 4, pLab
-- reports, University of Salzburg, 1997.
Abstract and
compressed postscript file available.
Entacher, K.: The
pLab Picturebook Part III: Bad Subsequences of LCGs -- The Results.
Report No. 6, pLab -- reports, University of Salzburg, 1997.
Abstract and
compressed postscript file available. This report must be
seen in connection with our
collection of selected pseudorandom number generators with linear
structures.
Wegenkittl, S.: The
pLab Picturebook: Load Tests and Ultimate Load Tests, Addendum.
Report No. 7, pLab -- reports, University of Salzburg, 1997.
Abstract available.
Wegenkittl, S.: The
pLab Picturebook: Load Tests for the SG100 Security Generator.
Report No. 8, pLab -- reports, University of Salzburg, 1997.
Abstract available.
Hellekalek, P.: On the assessment of random and quasi-random
point sets. In Hellekalek, P. and Larcher, G., editor(s),
Pseudo and Quasi-Random Point Sets of Lecture Notes in Statistics.
Springer-Verlag, New York, 1998.
back to the top
Research supported by 
|
|
|