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» On discrete norms of polynomials
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100
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EOR
2007
88views more  EOR 2007»
15 years 14 days ago
The stochastic location model with risk pooling
In this paper, we present a stochastic version of the Location Model with Risk Pooling (LMRP) that optimizes location, inventory, and allocation decisions under random parameters ...
Lawrence V. Snyder, Mark S. Daskin, Chung-Piaw Teo
116
Voted
INFOCOM
2012
IEEE
13 years 3 months ago
Approximately optimal adaptive learning in opportunistic spectrum access
—In this paper we develop an adaptive learning algorithm which is approximately optimal for an opportunistic spectrum access (OSA) problem with polynomial complexity. In this OSA...
Cem Tekin, Mingyan Liu
131
Voted
SODA
2010
ACM
185views Algorithms» more  SODA 2010»
14 years 11 months ago
Solving MAX-r-SAT Above a Tight Lower Bound
We present an exact algorithm that decides, for every fixed r ≥ 2 in time O(m) + 2O(k2 ) whether a given multiset of m clauses of size r admits a truth assignment that satisfi...
Noga Alon, Gregory Gutin, Eun Jung Kim, Stefan Sze...
128
Voted
STOC
2007
ACM
181views Algorithms» more  STOC 2007»
16 years 25 days ago
How to rank with few errors
We present a polynomial time approximation scheme (PTAS) for the minimum feedback arc set problem on tournaments. A simple weighted generalization gives a PTAS for KemenyYoung ran...
Claire Kenyon-Mathieu, Warren Schudy
76
Voted
STOC
2002
ACM
96views Algorithms» more  STOC 2002»
16 years 24 days ago
Near-optimal sparse fourier representations via sampling
d Abstract] A. C. Gilbert S. Guhay P. Indykz S. Muthukrishnan M. Strauss We give an algorithm for nding a Fourier representation R of B terms for a given discrete signal A of leng...
Anna C. Gilbert, Sudipto Guha, Piotr Indyk, S. Mut...