53 search results - page 1 / 11 » Hardness of Embedding Metric Spaces of Equal Size |
APPROX
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. We study the problem embedding an n-point metric space into another n-point metric space while minimizing distortion. We show that there is no polynomial time algorithm t...
STACS
2007
Springer
13 years 11 months ago
2007
Springer
: Hard metrics are the class of extremal metrics with respect to embedding into Euclidean spaces: they incur Ω(logn) multiplicative distortion, which is as large as it can possib...
EMSOFT
2009
Springer
13 years 11 months ago
2009
Springer
This paper advocates a strict compositional and hybrid approach for obtaining key (performance) metrics of embedded At its core the developed methodology abstracts system componen...
STOC
2005
ACM
14 years 5 months ago
2005
ACM
A low-distortion embedding between two metric spaces is a mapping which preserves the distances between each pair of points, up to a small factor called distortion. Low-distortion...
DAC
1999
ACM
14 years 5 months ago
1999
ACM
In embedded system design, the designer has to choose an onchip memory configuration that is suitable for a specific application. To aid in this design choice, we present a memory...