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» Exploiting semidefinite relaxations in constraint programmin...
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TCS
2008
13 years 10 months ago
Approximate GCDs of polynomials and sparse SOS relaxations
The problem of computing approximate GCDs of several polynomials with real or complex coefficients can be formulated as computing the minimal perturbation such that the perturbed ...
Bin Li, Jiawang Nie, Lihong Zhi
SIAMJO
2010
100views more  SIAMJO 2010»
13 years 5 months ago
Explicit Sensor Network Localization using Semidefinite Representations and Facial Reductions
The sensor network localization, SNL , problem in embedding dimension r, consists of locating the positions of wireless sensors, given only the distances between sensors that are ...
Nathan Krislock, Henry Wolkowicz
APPROX
2010
Springer
147views Algorithms» more  APPROX 2010»
14 years 12 days ago
Approximate Lasserre Integrality Gap for Unique Games
In this paper, we investigate whether a constant round Lasserre Semi-definite Programming (SDP) relaxation might give a good approximation to the UNIQUE GAMES problem. We show tha...
Subhash Khot, Preyas Popat, Rishi Saket
ICASSP
2009
IEEE
14 years 2 months ago
Detection of sparse signals under finite-alphabet constraints
In this paper, we solve the problem of detecting the entries of a sparse finite-alphabet signal from a limited amount of data, for instance obtained by compressive sampling. While...
Zhi Tian, Geert Leus, Vincenzo Lottici
ISSRE
2007
IEEE
14 years 12 days ago
Improving Constraint-Based Testing with Dynamic Linear Relaxations
Constraint-Based Testing (CBT) is the process of generating test cases against a testing objective by using constraint solving techniques. In CBT, testing objectives are given und...
Tristan Denmat, Arnaud Gotlieb, Mireille Ducass&ea...