2. Algebraic, stochastic and analysis structures for networks, data classification and optimization

• Pubblicazione: Pubblicazione in formato elettronico
• Edizione: XIV, 436 p. : ill.
• Descrizione fisica: Accesso al full text attraverso riconoscimento indirizzo IP di Ateneo.
• Soggetto topico: 16-XX - Associative rings and algebras [MSC 2020]; 46-XX - Functional analysis [MSC 2020]; 60Jxx - Markov processes [MSC 2020]; 47H10 - Fixed-point theorems [MSC 2020]; 37-XX - Dynamical systems and ergodic theory [MSC 2020]; 92Bxx - Mathematical biology in general [MSC 2020]; 08Axx - Algebraic structures [MSC 2020]; 00A69 - General applied mathematics [MSC 2020]; 00B15 - Collections of articles of miscellaneous specific interest [MSC 2020]; 92Cxx - Physiological, cellular and medical topics [MSC 2020]; 94Cxx - Circuits, networks [MSC 2020]; 46E30 - Spaces of measurable functions (Lp-spaces, Orlicz spaces, Köthe function spaces, Lorentz spaces, rearrangement invariant spaces, ideal spaces, etc) [MSC 2020]; 60K15 - Markov renewal processes, semi-Markov processes [MSC 2020]
• Titolo autorizzato: Algebraic, stochastic and analysis structures for networks, data classification and optimization
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: SUN0114686
• Lo trovi qui: Univ. Vanvitelli
• Serie: Springer proceedings in mathematics & statistics ; 179 Berlin . -Springer , 2012-.