FILTRAGE DES SYSTEMES LINEAIRES STOCHASTIQUES, LE FILTRE DE KALMAN ET SES PRINCIPALES VARIANTES: LE FILTRE INFORMATION, LES ALGORITHMES DE FACTORISATION, LES AL

Since its origins in the 1940s, the subject of decision making under uncertainty has grown into a diversified area with application in several branches of engin

The second volume will deal with a presentation of the main matrix and tensor decompositions and their properties of uniqueness, as well as very useful tensor n