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FOCS
1998
IEEE
15 years 4 months ago
The Shortest Vector in a Lattice is Hard to Approximate to Within Some Constant
We show that approximating the shortest vector problem (in any p norm) to within any constant factor less than p 2 is hard for NP under reverse unfaithful random reductions with i...
Daniele Micciancio
DAC
2005
ACM
15 years 1 months ago
Piece-wise approximations of RLCK circuit responses using moment matching
Capturing RLCK circuit responses accurately with existing model order reduction (MOR) techniques is very expensive. Direct metrics for fast analysis of RC circuits exist but there...
Chirayu S. Amin, Yehea I. Ismail, Florentin Dartu
ICCSA
2005
Springer
15 years 5 months ago
Comparison of Global Optimization Methods for Drag Reduction in the Automotive Industry
Various global optimization methods are compared in order to find the best strategy to solve realistic drag reduction problems in the automotive industry. All the methods consist ...
Laurent Dumas, Vincent Herbert, Frédé...
ICIP
1998
IEEE
16 years 1 months ago
Simultaneous Optimal Boundary Encoding and Variable-Length Code Selection
This paper describes e cient and optimal encoding and representation of object contours. Contours are approximated by connected second-order spline segments, each de ned by three ...
Gerry Melnikov, Guido M. Schuster, Aggelos K. Kats...
AAAI
1998
15 years 1 months ago
Which Search Problems Are Random?
The typical difficulty of various NP-hard problems varies with simple parameters describing their structure. This behavior is largely independent of the search algorithm, but depe...
Tad Hogg