The role of information measures in the determination of the maximum entropy-minimum norm solution of the generalized inverse problem

Autor:	G. D. Yen, Angelo Plastino, H. G. Miller, A. R. Plastino
Rok vydání:	1997
Předmět:	Generalized inverse Minimum norm Principle of maximum entropy Norm (mathematics) Mathematical analysis Inverse Applied mathematics Statistical and Nonlinear Physics Information measure Inverse problem Mathematical Physics Mathematics
Zdroj:	Journal of Mathematical Physics. 38:6675-6682
ISSN:	1089-7658 0022-2488
DOI:	10.1063/1.532184
Popis:	We discuss here the role of different information measures vis-a-vis the maximum entropy-minimum norm method of Baker Jarvis et al. (BJ) for dealing with under-determined inverse linear transforms. It is shown that the structure of the approximate solutions provided by the BJ approach does not depend upon the functional form of the information measure.
Databáze:	OpenAIRE
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