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» On the Complexity of Exclusion Algorithms for Optimization
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FOCS
2008
IEEE
15 years 8 months ago
The Bayesian Learner is Optimal for Noisy Binary Search (and Pretty Good for Quantum as Well)
We use a Bayesian approach to optimally solve problems in noisy binary search. We deal with two variants: • Each comparison is erroneous with independent probability 1 − p. â€...
Michael Ben-Or, Avinatan Hassidim
MICRO
2007
IEEE
167views Hardware» more  MICRO 2007»
15 years 7 months ago
Informed Microarchitecture Design Space Exploration Using Workload Dynamics
Program runtime characteristics exhibit significant variation. As microprocessor architectures become more complex, their efficiency depends on the capability of adapting with wor...
Chang-Burm Cho, Wangyuan Zhang, Tao Li
SODA
2004
ACM
87views Algorithms» more  SODA 2004»
15 years 2 months ago
Optimal space lower bounds for all frequency moments
We prove that any one-pass streaming algorithm which ( , )-approximates the kth frequency moment Fk, for any real k = 1 and any = 1 m , must use 1 2 bits of space, where m is th...
David P. Woodruff
TEC
2010
173views more  TEC 2010»
14 years 8 months ago
Analysis of Computational Time of Simple Estimation of Distribution Algorithms
Estimation of distribution algorithms (EDAs) are widely used in stochastic optimization. Impressive experimental results have been reported in the literature. However, little work ...
Tianshi Chen, Ke Tang, Guoliang Chen, Xin Yao
CORR
2010
Springer
85views Education» more  CORR 2010»
15 years 1 months ago
Optimally Solving the MCM Problem Using Pseudo-Boolean Satisfiability
In this report, we describe three encodings of the multiple constant multiplication (MCM) problem to pseudo-boolean satisfiability (PBS), and introduce an algorithm to solve the M...
Nuno P. Lopes, Levent Aksoy, Vasco M. Manquinho, J...