| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA990008779400403321 |
|
|
Autore |
Pellingra, Giuseppe |
|
|
Titolo |
I presupposti impositivi nell'accertamento dei tributi / Giuseppe Pellingra |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Roma : Edizioni Babuino, 1966 |
|
|
|
|
|
|
|
Descrizione fisica |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Locazione |
|
|
|
|
|
|
Collocazione |
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
2. |
Record Nr. |
UNINA9910800116203321 |
|
|
Autore |
Lozovanu Dmitrii |
|
|
Titolo |
Markov Decision Processes and Stochastic Positional Games : Optimal Control on Complex Networks / / by Dmitrii Lozovanu, Stefan Wolfgang Pickl |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2024 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2024.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (412 pages) |
|
|
|
|
|
|
Collana |
|
International Series in Operations Research & Management Science, , 2214-7934 ; ; 349 |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Operations research |
Mathematics |
Management science |
Mathematical optimization |
Algorithms |
Operations Research and Decision Theory |
Applications of Mathematics |
Operations Research, Management Science |
Optimization |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and index. |
|
|
|
|
|
|
Nota di contenuto |
|
Discrete Markov Processes and Numerical Algorithms for Markov Chains -- Markov Decision Processes and Stochastic Control Problems on Networks -- Stochastic Games and Positional Games on Networks. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
This book presents recent findings and results concerning the solutions of especially finite state-space Markov decision problems and determining Nash equilibria for related stochastic games with average and total expected discounted reward payoffs. In addition, it focuses on a new class of stochastic games: stochastic positional games that extend and generalize the classic deterministic positional games. It presents new algorithmic results on the suitable implementation of quasi-monotonic programming techniques. Moreover, the book presents applications of positional games within a class of multi-objective discrete control problems and hierarchical control problems on networks. Given its scope, the book will benefit all researchers and graduate students who are interested in Markov theory, control theory, optimization and games. |
|
|
|
|
|
|
|
| |