Title
Computing optimal scalings by parametric network algorithms.
Abstract
Asymmetric scaling of a square matrixA ? 0 is a matrix of the formXAX-1 whereX is a nonnegative, nonsingular, diagonal matrix having the same dimension ofA. Anasymmetric scaling of a rectangular matrixB ? 0 is a matrix of the formXBY-1 whereX andY are nonnegative, nonsingular, diagonal matrices having appropriate dimensions. We consider two objectives in selecting a symmetric scaling of a given matrix. The first is to select a scalingA' of a given matrixA such that the maximal absolute value of the elements ofA' is lesser or equal that of any other corresponding scaling ofA. The second is to select a scalingB' of a given matrixB such that the maximal absolute value of ratios of nonzero elements ofB' is lesser or equal that of any other corresponding scaling ofB. We also consider the problem of finding an optimal asymmetric scaling under the maximal ratio criterion (the maximal element criterion is, of course, trivial in this case). We show that these problems can be converted to parametric network problems which can be solved by corresponding algorithms.
Year
DOI
Venue
1985
10.1007/BF01585655
Math. Program.
Keywords
Field
DocType
network algorithms.,scaling,maximal element
Discrete mathematics,Mathematical optimization,Network algorithms,Absolute value,Matrix (mathematics),Parametric statistics,Maximal element,Invertible matrix,Diagonal matrix,Scaling,Mathematics
Journal
Volume
Issue
ISSN
32
1
1436-4646
Citations 
PageRank 
References 
9
1.84
5
Authors
2
Name
Order
Citations
PageRank
James B. Orlin12812319.77
U. G. Rothblum25417.31