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» An Algorithm for the Reduction of Linear DAE
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APPROX
2005
Springer
111views Algorithms» more  APPROX 2005»
14 years 2 months ago
Sampling Bounds for Stochastic Optimization
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
Moses Charikar, Chandra Chekuri, Martin Pál
SBCCI
2009
ACM
187views VLSI» more  SBCCI 2009»
14 years 1 months ago
Design of low complexity digital FIR filters
The multiplication of a variable by multiple constants, i.e., the multiple constant multiplications (MCM), has been a central operation and performance bottleneck in many applicat...
Levent Aksoy, Diego Jaccottet, Eduardo Costa
EDBT
2009
ACM
145views Database» more  EDBT 2009»
14 years 15 days ago
Efficient top-k count queries over imprecise duplicates
We propose efficient techniques for processing various TopK count queries on data with noisy duplicates. Our method differs from existing work on duplicate elimination in two sign...
Sunita Sarawagi, Vinay S. Deshpande, Sourabh Kasli...
CC
2008
Springer
133views System Software» more  CC 2008»
13 years 8 months ago
Hardness Amplification via Space-Efficient Direct Products
We prove a version of the derandomized Direct Product lemma for deterministic space-bounded algorithms. Suppose a Boolean function g : {0, 1}n {0, 1} cannot be computed on more th...
Venkatesan Guruswami, Valentine Kabanets
KI
2006
Springer
13 years 8 months ago
A Framework for Quasi-exact Optimization Using Relaxed Best-First Search
Abstract. In this paper, a framework for previous and new quasi-exact extensions of the A -algorithm is presented. In contrast to previous approaches, the new methods guarantee to ...
Rüdiger Ebendt, Rolf Drechsler