International audienceThis paper presents the theoretical properties of an algorithm to find a realization of a (full) n × n Euclidean distance matrix in the smallest possible embedding dimension. Our algorithm performs linearly in n, and quadratically in the minimum embedding dimension, which is an improvement w.r.t. other algorithms
AbstractThe algorithm we present is a natural next step to well-known algorithms for finding optimal...
This thesis is an accumulation of work regarding a class of constrained Euclidean Distance Matrix (E...
Consider the problem of determining whether or not a partial dissimilarity matrix can be completed t...
International audienceThis paper presents the theoretical properties of an algorithm to find a reali...
This paper presents the theoretical properties of an algorithm to find a realization of a (full) n x...
International audienceThis paper presents the theoretical properties of an algorithm to find a reali...
CNPQ - CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICOFAPESP - FUNDAÇÃO DE AMPARO À PE...
The fundamental problem of distance geometry involves the characterization and study of sets of poin...
© 2013, Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society. Euclidean distance...
The fundamental problem of distance geometry involves the characterization and study of sets of poi...
The fundamental problem of distance geometry involves the characterization and study of sets of poi...
The fundamental problem of distance geometry involves the characterization and study of sets of poi...
The fundamental problem of distance geometry involves the characterization and study of sets of poi...
The fundamental problem of distance geometry involves the characterization and study of sets of poi...
Matrizes de distâncias Euclidianas são ferramentas importantes para a área de geometria de distância...
AbstractThe algorithm we present is a natural next step to well-known algorithms for finding optimal...
This thesis is an accumulation of work regarding a class of constrained Euclidean Distance Matrix (E...
Consider the problem of determining whether or not a partial dissimilarity matrix can be completed t...
International audienceThis paper presents the theoretical properties of an algorithm to find a reali...
This paper presents the theoretical properties of an algorithm to find a realization of a (full) n x...
International audienceThis paper presents the theoretical properties of an algorithm to find a reali...
CNPQ - CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICOFAPESP - FUNDAÇÃO DE AMPARO À PE...
The fundamental problem of distance geometry involves the characterization and study of sets of poin...
© 2013, Springer-Verlag Berlin Heidelberg and Mathematical Optimization Society. Euclidean distance...
The fundamental problem of distance geometry involves the characterization and study of sets of poi...
The fundamental problem of distance geometry involves the characterization and study of sets of poi...
The fundamental problem of distance geometry involves the characterization and study of sets of poi...
The fundamental problem of distance geometry involves the characterization and study of sets of poi...
The fundamental problem of distance geometry involves the characterization and study of sets of poi...
Matrizes de distâncias Euclidianas são ferramentas importantes para a área de geometria de distância...
AbstractThe algorithm we present is a natural next step to well-known algorithms for finding optimal...
This thesis is an accumulation of work regarding a class of constrained Euclidean Distance Matrix (E...
Consider the problem of determining whether or not a partial dissimilarity matrix can be completed t...
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