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» Adaptive Bound Optimization for Online Convex Optimization
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AAAI
2000
13 years 9 months ago
Iterative Flattening: A Scalable Method for Solving Multi-Capacity Scheduling Problems
One challenge for research in constraint-based scheduling has been to produce scalable solution procedures under fairly general representational assumptions. Quite often, the comp...
Amedeo Cesta, Angelo Oddi, Stephen F. Smith
CORR
2007
Springer
111views Education» more  CORR 2007»
13 years 7 months ago
Resource Allocation for Wireless Fading Relay Channels: Max-Min Solution
—Resource allocation is investigated for fading relay channels under separate power constraints at the source and relay nodes. As a basic information-theoretic model for fading r...
Yingbin Liang, Venugopal V. Veeravalli, H. Vincent...
SIAMCO
2008
108views more  SIAMCO 2008»
13 years 7 months ago
A Viability Theorem for Morphological Inclusions
The aim of this paper is to adapt the Viability Theorem from differential inclusions (governing the evolution of vectors in a finite dimensional space) to so-called morphological i...
Thomas Lorenz
SIAMCOMP
2008
167views more  SIAMCOMP 2008»
13 years 7 months ago
Approximation Algorithms for Data Placement Problems
We develop approximation algorithms for the problem of placing replicated data in arbitrary networks, where the nodes may both issue requests for data objects and have capacity fo...
Ivan D. Baev, Rajmohan Rajaraman, Chaitanya Swamy
CCR
2004
90views more  CCR 2004»
13 years 7 months ago
A constraint satisfaction approach to testbed embedding services
Today's networking community is becoming increasingly skeptical of the significance of research results founded wholly upon experimental results conducted in simulation. Now, ...
Jeffrey Considine, John W. Byers, Ketan Meyer-Pate...