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Salman Azhar

Executive in Residence of Business Administration
Fuqua School of Business

Selected Publications


Computation of equilibriain noncooperative games

Journal Article Computers and Mathematics with Applications · September 1, 2005 This paper presents algorithms for finding equilibria of mixed strategy in multistage noncooperative games of incomplete information (like probabilistic blindfold chess, where at every opportunity a player can perform different moves with some probability) ... Full text Cite

Decision algorithms for multiplayer noncooperative games of incomplete information

Journal Article Computers and Mathematics with Applications · January 1, 2002 Extending the complexity results of Reif [1,2] for two player games of incomplete information, this paper (see also [3]) presents algorithms for deciding the outcome for various classes of multiplayer games of incomplete information, i.e., deciding whether ... Full text Cite

Lower bounds for multiplayer noncooperative games of incomplete information

Journal Article Computers and Mathematics with Applications · January 1, 2001 This paper extends the alternating Turing machine (A-TM) of Chandra, Kozen and Stockmeyer, the private and the blind alternating machines of Reif to model multiplayer games of incomplete information. We use these machines to provide matching lower bounds f ... Full text Cite

Efficient algorithmic learning of the structure of permutation groups by examples

Journal Article Computers and Mathematics with Applications · January 1, 1999 This paper discusses learning algorithms for ascertaining membership, inclusion, and equality in permutation groups. The main results are randomized learning algorithms which take a random generator set of a fixed group G≤Sn as input. We discuss randomized ... Full text Cite

Data compression techniques for stock market prediction

Journal Article Proceedings of the Data Compression Conference · January 1, 1994 This paper presents advanced data compression techniques for predicting stock markets behavior under widely accepted market models in finance. Our techniques are applicable to technical analysis, portfolio theory, and nonlinear market models. We find that ... Cite