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» Approximation Algorithms for Scheduling on Multiple Machines
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ESA
2010
Springer
227views Algorithms» more  ESA 2010»
13 years 8 months ago
Approximating Parameterized Convex Optimization Problems
We consider parameterized convex optimization problems over the unit simplex, that depend on one parameter. We provide a simple and efficient scheme for maintaining an -approximat...
Joachim Giesen, Martin Jaggi, Sören Laue
ESA
2008
Springer
195views Algorithms» more  ESA 2008»
13 years 9 months ago
A Characterization of 2-Player Mechanisms for Scheduling
We study the mechanism design problem of scheduling unrelated machines and we completely characterize the decisive truthful mechanisms for two players when the domain contains bot...
George Christodoulou, Elias Koutsoupias, Angelina ...
ICML
2004
IEEE
14 years 8 months ago
Convergence of synchronous reinforcement learning with linear function approximation
Synchronous reinforcement learning (RL) algorithms with linear function approximation are representable as inhomogeneous matrix iterations of a special form (Schoknecht & Merk...
Artur Merke, Ralf Schoknecht
SPAA
2006
ACM
14 years 1 months ago
The cache complexity of multithreaded cache oblivious algorithms
We present a technique for analyzing the number of cache misses incurred by multithreaded cache oblivious algorithms on an idealized parallel machine in which each processor has a...
Matteo Frigo, Volker Strumpen
ICALP
2009
Springer
14 years 8 months ago
Improved Bounds for Flow Shop Scheduling
We resolve an open question raised by Feige & Scheideler by showing that the best known approximation algorithm for flow shops is essentially tight with respect to the used low...
Monaldo Mastrolilli, Ola Svensson