Publications Meetings The Profession Membership Programs Math Samplings Policy & Advocacy In the News About the AMS
|
   
Mobile Device Pairing
Transactions of the American Mathematical Society
Transactions of the American Mathematical Society
ISSN 1088-6850(online) ISSN 0002-9947(print)

An asymptotic formula for the number of non-negative integer matrices with prescribed row and column sums


Authors: Alexander Barvinok and J. A. Hartigan
Journal: Trans. Amer. Math. Soc. 364 (2012), 4323-4368
MSC (2010): Primary 05A16, 52B55, 52C07, 60F05
Posted: March 20, 2012
Full-text PDF

Abstract | References | Similar Articles | Additional Information

Abstract: We count $ m \times n$ non-negative integer matrices (contingency tables) with prescribed row and column sums (margins). For a wide class of smooth margins we establish a computationally efficient asymptotic formula approximating the number of matrices within a relative error which approaches 0 as $ m$ and $ n$ grow.


References [Enhancements On Off] (What's this?)


Similar Articles

Retrieve articles in Transactions of the American Mathematical Society with MSC (2010): 05A16, 52B55, 52C07, 60F05

Retrieve articles in all journals with MSC (2010): 05A16, 52B55, 52C07, 60F05


Additional Information

Alexander Barvinok
Affiliation: Department of Mathematics, University of Michigan, Ann Arbor, Michigan 48109-1043
Email: barvinok@umich.edu

J. A. Hartigan
Affiliation: Department of Statistics, Yale University, New Haven, Connecticut 06520-8290
Email: john.hartigan@yale.edu

DOI: http://dx.doi.org/10.1090/S0002-9947-2012-05585-1
PII: S 0002-9947(2012)05585-1
Received by editor(s): April 5, 2010
Received by editor(s) in revised form: March 11, 2011, and March 18, 2011
Posted: March 20, 2012
Additional Notes: The research of the first author was partially supported by NSF Grant DMS 0856640 and a United States–Israel BSF grant 2006377.
Article copyright: © Copyright 2012 American Mathematical Society
The copyright for this article reverts to public domain 28 years after publication.




AMS and Social Media LinkedIn Facebook Podcasts Twitter YouTube RSS Feeds Blogs Wikipedia