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» Introduction to Randomized Algorithms
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NIPS
2008
15 years 6 months ago
Improved Moves for Truncated Convex Models
We consider the problem of obtaining the approximate maximum a posteriori estimate of a discrete random field characterized by pairwise potentials that form a truncated convex mod...
M. Pawan Kumar, Philip H. S. Torr
TCS
2011
14 years 11 months ago
Dynamic normal forms and dynamic characteristic polynomial
Abstract. We present the first fully dynamic algorithm for computing the characteristic polynomial of a matrix. In the generic symmetric case our algorithm supports rank-one updat...
Gudmund Skovbjerg Frandsen, Piotr Sankowski
SECON
2008
IEEE
15 years 11 months ago
On Distributed Optimization Using Peer-to-Peer Communications in Wireless Sensor Networks
—We describe and evaluate a suite of distributed and computationally efficient algorithms for solving a class of convex optimization problems in wireless sensor networks. The pr...
Björn Johansson, Cesare M. Carretti, Mikael J...
AAAI
1996
15 years 6 months ago
A Graph-Based Method for Improving GSAT
GSAT is a randomized greedy local repair procedure that was introduced for solving propositional satis ability and constraint satisfaction problems. We present an improvement to G...
Kalev Kask, Rina Dechter
CORR
2007
Springer
74views Education» more  CORR 2007»
15 years 4 months ago
Computing Minimal Polynomials of Matrices
We present and analyse a Monte-Carlo algorithm to compute the minimal polynomial of an n × n matrix over a finite field that requires O(n3 ) field operations and O(n) random v...
Max Neunhöffer, Cheryl E. Praeger