Structure method for solving the nearest Euclidean distance matrix problem

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Structure method for solving the nearest Euclidean distance matrix problem

*Correspondence: [email protected] Department of Mathematics and Statistics, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia Abstract A matrix with zero diagonal is called a Euclidean distance matrix when the matrix values are measurements of distances between points in a Euclidean space. Because of data errors such a matrix may not be exactly Euclidean and it is desira...

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A Semismooth Newton Method for the Nearest Euclidean Distance Matrix Problem

The Nearest Euclidean distance matrix problem (NEDM) is a fundamental computational problem in applications such as multidimensional scaling and molecular conformation from nuclear magnetic resonance data in computational chemistry. Especially in the latter application, the problem is often large scale with the number of atoms ranging from a few hundreds to a few thousands. In this paper, we in...

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Computing the nearest Euclidean distance matrix with low embedding dimensions

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ژورنال

عنوان ژورنال: Journal of Inequalities and Applications

سال: 2014

ISSN: 1029-242X

DOI: 10.1186/1029-242x-2014-491