Title :
A non-linear regularization technique for some ill-posed problems of identifications and estimation
Author :
Rutman, R.S. ; Cabral, L.M.
Author_Institution :
Southeastern Massachusetts University, North Dartmouth, MA
Abstract :
In order to solve a topologically ill-posed problem, additional/information about the unknown must be provided. A procedure is described for the solution of certain ill-posed problems for which various types of information are available. These may include nonnegativity, monotonicity, convexity, and the selective application of such information, as well as smoothness.
Keywords :
Integral equations; Inverse problems; Knowledge engineering; Lagrangian functions; Numerical analysis; Signal processing;
Conference_Titel :
Decision and Control including the Symposium on Adaptive Processes, 1980 19th IEEE Conference on
Conference_Location :
Albuquerque, NM, USA
DOI :
10.1109/CDC.1980.271937
