نتایج جستجو برای: miranda thompson majorization
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The adoption of the stress-majorization method from multi-dimensional scaling into graph layout has provided an improved mathematical basis and better convergence properties for so-called “force-directed placement” techniques. In this paper we explore algorithms for augmenting such stress-majorization techniques with simple linear constraints using gradient-projection optimization techniques. O...
A general framework based on majorization, Schur-concavity, and concavity is given that facilitates the analysis of algorithm performance and clarifies the relationships between existing proposed diversity measures useful for best basis selection. Admissible sparsity measures are given by the Schur-concave functions, which are the class of functions consistent with the partial ordering on vecto...
Miranda Olff*, Mirjam Van Zuiden, Saskia B. J. Koch, Laura Nawijn, Jessie L. Frijling and Dick J. Veltman Department of Psychiatry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands; Arq Psychotrauma Expert Group, Diemen, The Netherlands; Department of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands *Correspondence to: Miranda Olff, Email: m.olff@...
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