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COCO
2011
Springer
216views Algorithms» more  COCO 2011»
12 years 7 months ago
Linear Systems over Finite Abelian Groups
We consider a system of linear constraints over any finite Abelian group G of the following form: i(x1, . . . , xn) ≡ i,1x1 + · · · + i,nxn ∈ Ai for i = 1, . . . , t and e...
Arkadev Chattopadhyay, Shachar Lovett
COCO
2009
Springer
106views Algorithms» more  COCO 2009»
14 years 2 months ago
Increasing the Gap between Descriptional Complexity and Algorithmic Probability
The coding theorem is a fundamental result of algorithmic information theory. A well known theorem of G´acs shows that the analog of the coding theorem fails for continuous sample...
Adam R. Day
FOCS
2004
IEEE
13 years 11 months ago
Shuffling by Semi-Random Transpositions
In the cyclic-to-random shuffle, we are given n cards arranged in a circle. At step k, we exchange the k'th card along the circle with a uniformly chosen random card. The pro...
Elchanan Mossel, Yuval Peres, Alistair Sinclair
NIPS
2000
13 years 8 months ago
Foundations for a Circuit Complexity Theory of Sensory Processing
We introduce total wire length as salient complexity measure for an analysis of the circuit complexity of sensory processing in biological neural systems and neuromorphic engineer...
Robert A. Legenstein, Wolfgang Maass
WDAG
2001
Springer
131views Algorithms» more  WDAG 2001»
13 years 12 months ago
The Complexity of Synchronous Iterative Do-All with Crashes
Abstract. The ability to cooperate on common tasks in a distributed setting is key to solving a broad range of computation problems ranging from distributed search such as SETI to ...
Chryssis Georgiou, Alexander Russell, Alexander A....