期刊论文详细信息
Journal of inequalities and applications | |
Structure method for solving the nearest Euclidean distance matrix problem | |
Suliman Al-Homidan1  | |
关键词: Euclidean distance matrix; positive semidefinite matrix; Newton method; BFGS method; | |
DOI : 10.1186/1029-242X-2014-491 | |
学科分类:数学(综合) | |
来源: SpringerOpen | |
【 摘 要 】
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 desirable in many applications to find the best Euclidean matrix which approximates the non-Euclidean matrix. In this paper the problem is formulated as a smooth unconstrained minimization problem, for which rapid convergence can be obtained. Comparative numerical results are reported.
【 授权许可】
CC BY
【 预 览 】
Files | Size | Format | View |
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RO201902017952775ZK.pdf | 272KB | download |