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Lookup NU author(s): Professor Mihai Putinar
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If moments of singular measures are passed as inputs to the entropy maximization procedure, the optimization algorithm might not terminate. The framework developed in  demonstrated how input moments of measures, on a broad range of domains, can be conditioned to ensure convergence of the entropy maximization. Here we numerically illustrate the developed framework on simplest possible examples: measures with onedimensional, bounded supports. Three examples of measures are used to numerically compare approximations obtained through entropy maximization with and without the conditioning step.
Author(s): Budišić M, Putinar M
Editor(s): Hardin, DP; Lubinsky, DS; Simanek, BZ
Publication type: Book Chapter
Publication status: Published
Book Title: Modern Trends in Constructive Function Theory
Print publication date: 01/01/2016
Acceptance date: 15/09/2015
Series Title: Contemporary Mathematics
Publisher: American Mathematical Society
Place Published: Providence, Rhode Island
Library holdings: Search Newcastle University Library for this item