Conference paper
Distilling common randomness from bipartite quantum states
Igor Devetak, Andreas Winter
ISIT 2003
Euclidean distance geometry is the study of Euclidean geometry based on the concept of distance. This is useful in several applications where the input data consist of an incomplete set of distances and the output is a set of points in Euclidean space realizing those given distances. We survey the theory of Euclidean distance geometry and its most important applications, with special emphasis on molecular conformation problems. © 2014 Society for Industrial and Applied Mathematics.
Igor Devetak, Andreas Winter
ISIT 2003
A. Skumanich
SPIE OE/LASE 1992
Charles Micchelli
Journal of Approximation Theory
T. Graham, A. Afzali, et al.
Microlithography 2000