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» Self-Randomized Exponentiation Algorithms
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97
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SODA
2001
ACM
93views Algorithms» more  SODA 2001»
15 years 1 months ago
Making data structures confluently persistent
We address a longstanding open problem of [11, 10], and present a general transformation that transforms any pointer based data structure to be confluently persistent. Such transf...
Amos Fiat, Haim Kaplan
74
Voted
SIAMNUM
2010
106views more  SIAMNUM 2010»
14 years 7 months ago
Computing Sacker-Sell spectra in Discrete Time Dynamical Systems
In this paper we develop boundary value methods for detecting Sacker-Sell spectra in discrete time dynamical systems. The algorithms are advancements of earlier methods for comput...
Thorsten Hüls
85
Voted
EOR
2006
61views more  EOR 2006»
15 years 16 days ago
Workload minimization in re-entrant lines
This paper is concerned with workload minimization in re-entrant lines with exponential service times and preemptive control policies. Using a numerical algorithm called the power...
Ger Koole, Auke Pot
CORR
2011
Springer
205views Education» more  CORR 2011»
14 years 7 months ago
Detection of objects in noisy images and site percolation on square lattices
Abstract: We propose a novel probabilistic method for detection of objects in noisy images. The method uses results from percolation and random graph theories. We present an algori...
Mikhail A. Langovoy, Olaf Wittich
103
Voted
ISCI
2000
92views more  ISCI 2000»
15 years 10 days ago
Quantum associative memory
This paper combines quantum computation with classical neural network theory to produce a quantum computational learning algorithm. Quantum computation uses microscopic quantum lev...
Dan Ventura, Tony R. Martinez