This article needs additional citations for verification. Please help improve this article by adding citations to reliable sources. Unsourced material may be challenged and removed.Find sources: "John von Neumann Theory Prize" – news · newspapers · books · scholar · JSTOR (March 2021) (Learn how and when to remove this template message)
The John von Neumann Theory Prize of the Institute for Operations Research and the Management Sciences (INFORMS)
is awarded annually to an individual (or sometimes a group) who has made fundamental and sustained contributions to theory in operations research and the management sciences.
The Prize named after mathematician John von Neumann is awarded for a body of work, rather than a single piece. The Prize was intended to reflect contributions that have stood the test of time. The criteria include significance, innovation, depth, and scientific excellence.
The award is $5,000, a medallion and a citation.
The Prize has been awarded since 1975. The first recipient was George B. Dantzig for his work on linear programming.
List of recipients
- 2020 Adrian Lewis
- 2019 Dimitris Bertsimas and Jong-Shi Pang
- 2018 Dimitri Bertsekas and John Tsitsiklis
- for contributions to Parallel and Distributed Computation as well as Neurodynamic Programming.
- 2017 Donald Goldfarb and Jorge Nocedal
- for seminal contributions to the theory and applications of nonlinear optimization over the past several decades.
- 2016 Martin I. Reiman and Ruth J. Williams
- for seminal research contributions over the past several decades, to the theory and applications of “stochastic networks/systems” and their “heavy traffic approximations.”
- 2015 Vašek Chvátal and Jean Bernard Lasserre
- for seminal and profound contributions to the theoretical foundations of optimization.
- 2014 Nimrod Megiddo
- for fundamental contributions across a broad range of areas of operations research and management science, most notably in linear programming, combinatorial optimization, and algorithmic game theory.
- 2013 Michel Balinski.
- 2012 George Nemhauser and Laurence Wolsey.
- 2011 Gérard Cornuéjols, IBM University Professor of Operations Research at Carnegie Mellon University's Tepper School of Business
- for his fundamental and broad contributions to discrete optimization including his deep research on balanced and ideal matrices, perfect graphs and cutting planes for mixed-integer optimization.
- 2010 Søren Asmussen and Peter W. Glynn
- 2009 Yurii Nesterov and Yinyu Ye
- 2008 Frank Kelly
- 2007 Arthur F. Veinott, Jr.
- for his profound contributions to three major areas of operations research and management science: inventory theory, dynamic programming and lattice programming.
- 2006 Martin Grötschel, László Lovász and Alexander Schrijver
- for their fundamental path-breaking work in combinatorial optimization.
- 2005 Robert J. Aumann
- in recognition of his fundamental contributions to game theory and related areas
- 2004 J. Michael Harrison
- 2003 Arkadi Nemirovski and Michael J. Todd
- 2002 Donald L. Iglehart and Cyrus Derman
- for their fundamental contributions to performance analysis and optimization of stochastic systems
- 2001 Ward Whitt
- 2000 Ellis L. Johnson and Manfred W. Padberg
- 1999 R. Tyrrell Rockafellar
- 1998 Fred W. Glover
- 1997 Peter Whittle
- 1996 Peter C. Fishburn
- 1995 Egon Balas
- 1994 Lajos Takacs
- 1993 Robert Herman
- 1992 Alan J. Hoffman and Philip Wolfe
- 1991 Richard E. Barlow and Frank Proschan
- 1990 Richard Karp
- 1989 Harry M. Markowitz
- 1988 Herbert A. Simon
- 1987 Samuel Karlin
- 1986 Kenneth J. Arrow
- 1985 Jack Edmonds
- 1984 Ralph Gomory
- 1983 Herbert Scarf
- 1982 Abraham Charnes, William W. Cooper, and Richard J. Duffin
- 1981 Lloyd Shapley
- 1980 David Gale, Harold W. Kuhn, and Albert W. Tucker
- 1979 David Blackwell
- 1978 John F. Nash and Carlton E. Lemke
- 1977 Felix Pollaczek
- 1976 Richard Bellman
- 1975 George B. Dantzig for his work on linear programming
There is also an IEEE John von Neumann Medal awarded by the IEEE annually "for outstanding achievements in computer-related science and technology".