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» Bounds on linear PDEs via semidefinite optimization
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CDC
2008
IEEE
154views Control Systems» more  CDC 2008»
15 years 4 months ago
Distributed calculation of linear functions in noisy networks via linear iterations
— Given a fixed network where each node has some given initial value, and under the constraint that each node receives noisy transmissions from its immediate neighbors, we provi...
Shreyas Sundaram, Christoforos N. Hadjicostis
TSP
2008
124views more  TSP 2008»
14 years 9 months ago
Robust Beamforming via Worst-Case SINR Maximization
Minimum variance beamforming, which uses a weight vector that maximizes the signal-to-interference-plus-noise ratio (SINR), is often sensitive to estimation error and uncertainty i...
Seung-Jean Kim, Alessandro Magnani, Almir Mutapcic...
CORR
2010
Springer
115views Education» more  CORR 2010»
14 years 8 months ago
Tight oracle bounds for low-rank matrix recovery from a minimal number of random measurements
This paper presents several novel theoretical results regarding the recovery of a low-rank matrix from just a few measurements consisting of linear combinations of the matrix entr...
Emmanuel J. Candès, Yaniv Plan
PG
2003
IEEE
15 years 2 months ago
Bounding Recursive Procedural Models Using Convex Optimization
We present an algorithm to construct a tight bounding polyhedron for a recursive procedural model. We first use an iterated function system (IFS) to represent the extent of the p...
Orion Sky Lawlor, John C. Hart
FOCS
2005
IEEE
15 years 3 months ago
Truthful and Near-Optimal Mechanism Design via Linear Programming
We give a general technique to obtain approximation mechanisms that are truthful in expectation. We show that for packing domains, any α-approximation algorithm that also bounds ...
Ron Lavi, Chaitanya Swamy