Markov chains are a fundamental class of stochastic processes. They are widely used to solve problems in a large number of domains such as operational research, computer science, communic… Altro …
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problems in a large number of domains such as operational research, computer science, communication networks and manufacturing systems. The success of Markov chains is mainly due to their simplicity of use, the large number of available theoretical results and the quality of algorithms developed for the numerical evaluation of many metrics of interest. The author presents the theory of both discrete-time and continuous-time homogeneous Markov chains. He carefully examines the explosion phenomenon, the Kolmogorov equations, the convergence to equilibrium and the passage time distributions to a state and to a subset of states. These results are applied to birth-and-death processes. He then proposes a detailed study of the uniformization technique by means of Banach algebra. This technique is used for the transient analysis of several queuing systems.Contents1. Discrete-Time Markov Chains 2. Continuous-Time Markov Chains 3. Birth-and-Death Processes 4. Uniformization 5. QueuesAbout the AuthorsBruno Sericola is a Senior Research Scientist at Inria Rennes Bretagne Atlantique in France. His main research activity is in performance evaluation of computer and communication systems, dependability analysis of fault-tolerant systems and stochastic models.; PDF \ Lyesse Laloui; Scientific, Technical and Medical > Mathematics > Algebra, Wiley<
hive.co.uk
No. 9781118731444 Costi di spedizione:Instock, Despatched same working day before 3pm, zzgl. Versandkosten, Costi di spedizione aggiuntivi Details...
(*) Libro esaurito significa che il libro non è attualmente disponibile in una qualsiasi delle piattaforme associate che di ricerca.
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problems in a large number of domains such as operational research, computer science, communic… Altro …
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problems in a large number of domains such as operational research, computer science, communication networks and manufacturing systems. The success of Markov chains is mainly due to their simplicity of use, the large number of available theoretical results and the quality of algorithms developed for the numerical evaluation of many metrics of interest. The author presents the theory of both discrete-time and continuous-time homogeneous Markov chains. He carefully examines the explosion phenomenon, the Kolmogorov equations, the convergence to equilibrium and the passage time distributions to a state and to a subset of states. These results are applied to birth-and-death processes. He then proposes a detailed study of the uniformization technique by means of Banach algebra. This technique is used for the transient analysis of several queuing systems.Contents1. Discrete-Time Markov Chains 2. Continuous-Time Markov Chains 3. Birth-and-Death Processes 4. Uniformization 5. QueuesAbout the AuthorsBruno Sericola is a Senior Research Scientist at Inria Rennes Bretagne Atlantique in France. His main research activity is in performance evaluation of computer and communication systems, dependability analysis of fault-tolerant systems and stochastic models.; EPUB; Scientific, Technical and Medical > Mathematics > Algebra, Wiley<
hive.co.uk
No. 9781118731444. Costi di spedizione:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., Costi di spedizione aggiuntivi Details...
(*) Libro esaurito significa che il libro non è attualmente disponibile in una qualsiasi delle piattaforme associate che di ricerca.
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problems in a large number of domains such as operational research, computer science, communic… Altro …
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problems in a large number of domains such as operational research, computer science, communication networks and manufacturing systems. The success of Markov chains is mainly due to their simplicity of use, the large number of available theoretical results and the quality of algorithms developed for the numerical evaluation of many metrics of interest. The author presents the theory of both discrete-time and continuous-time homogeneous Markov chains. He carefully examines the explosion phenomenon, the Kolmogorov equations, the convergence to equilibrium and the passage time distributions to a state and to a subset of states. These results are applied to birth-and-death processes. He then proposes a detailed study of the uniformization technique by means of Banach algebra. This technique is used for the transient analysis of several queuing systems.Contents1. Discrete-Time Markov Chains 2. Continuous-Time Markov Chains 3. Birth-and-Death Processes 4. Uniformization 5. QueuesAbout the AuthorsBruno Sericola is a Senior Research Scientist at Inria Rennes Bretagne Atlantique in France. His main research activity is in performance evaluation of computer and communication systems, dependability analysis of fault-tolerant systems and stochastic models.; PDF; Scientific, Technical and Medical > Mathematics, Wiley<
hive.co.uk
No. 9781118731444. Costi di spedizione:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., Costi di spedizione aggiuntivi Details...
(*) Libro esaurito significa che il libro non è attualmente disponibile in una qualsiasi delle piattaforme associate che di ricerca.
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problems in a large number of domains such as operational research, computer science, communic… Altro …
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problems in a large number of domains such as operational research, computer science, communication networks and manufacturing systems. The success of Markov chains is mainly due to their simplicity of use, the large number of available theoretical results and the quality of algorithms developed for the numerical evaluation of many metrics of interest. The author presents the theory of both discrete-time and continuous-time homogeneous Markov chains. He carefully examines the explosion phenomenon, the Kolmogorov equations, the convergence to equilibrium and the passage time distributions to a state and to a subset of states. These results are applied to birth-and-death processes. He then proposes a detailed study of the uniformization technique by means of Banach algebra. This technique is used for the transient analysis of several queuing systems.Contents1. Discrete-Time Markov Chains 2. Continuous-Time Markov Chains 3. Birth-and-Death Processes 4. Uniformization 5. QueuesAbout the AuthorsBruno Sericola is a Senior Research Scientist at Inria Rennes Bretagne Atlantique in France. His main research activity is in performance evaluation of computer and communication systems, dependability analysis of fault-tolerant systems and stochastic models.; EPUB; Scientific, Technical and Medical > Mathematics, Wiley<
hive.co.uk
No. 9781118731444. Costi di spedizione:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., Costi di spedizione aggiuntivi Details...
(*) Libro esaurito significa che il libro non è attualmente disponibile in una qualsiasi delle piattaforme associate che di ricerca.
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problems in a large number of domains such as operational research, computer science, communic… Altro …
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problems in a large number of domains such as operational research, computer science, communication networks and manufacturing systems. The success of Markov chains is mainly due to their simplicity of use, the large number of available theoretical results and the quality of algorithms developed for the numerical evaluation of many metrics of interest. The author presents the theory of both discrete-time and continuous-time homogeneous Markov chains. He carefully examines the explosion phenomenon, the Kolmogorov equations, the convergence to equilibrium and the passage time distributions to a state and to a subset of states. These results are applied to birth-and-death processes. He then proposes a detailed study of the uniformization technique by means of Banach algebra. This technique is used for the transient analysis of several queuing systems.Contents1. Discrete-Time Markov Chains 2. Continuous-Time Markov Chains 3. Birth-and-Death Processes 4. Uniformization 5. QueuesAbout the AuthorsBruno Sericola is a Senior Research Scientist at Inria Rennes Bretagne Atlantique in France. His main research activity is in performance evaluation of computer and communication systems, dependability analysis of fault-tolerant systems and stochastic models.; PDF \ Lyesse Laloui; Scientific, Technical and Medical > Mathematics > Algebra, Wiley<
- No. 9781118731444 Costi di spedizione:Instock, Despatched same working day before 3pm, zzgl. Versandkosten, Costi di spedizione aggiuntivi
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problems in a large number of domains such as operational research, computer science, communic… Altro …
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problems in a large number of domains such as operational research, computer science, communication networks and manufacturing systems. The success of Markov chains is mainly due to their simplicity of use, the large number of available theoretical results and the quality of algorithms developed for the numerical evaluation of many metrics of interest. The author presents the theory of both discrete-time and continuous-time homogeneous Markov chains. He carefully examines the explosion phenomenon, the Kolmogorov equations, the convergence to equilibrium and the passage time distributions to a state and to a subset of states. These results are applied to birth-and-death processes. He then proposes a detailed study of the uniformization technique by means of Banach algebra. This technique is used for the transient analysis of several queuing systems.Contents1. Discrete-Time Markov Chains 2. Continuous-Time Markov Chains 3. Birth-and-Death Processes 4. Uniformization 5. QueuesAbout the AuthorsBruno Sericola is a Senior Research Scientist at Inria Rennes Bretagne Atlantique in France. His main research activity is in performance evaluation of computer and communication systems, dependability analysis of fault-tolerant systems and stochastic models.; EPUB; Scientific, Technical and Medical > Mathematics > Algebra, Wiley<
- No. 9781118731444. Costi di spedizione:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., Costi di spedizione aggiuntivi
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problems in a large number of domains such as operational research, computer science, communic… Altro …
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problems in a large number of domains such as operational research, computer science, communication networks and manufacturing systems. The success of Markov chains is mainly due to their simplicity of use, the large number of available theoretical results and the quality of algorithms developed for the numerical evaluation of many metrics of interest. The author presents the theory of both discrete-time and continuous-time homogeneous Markov chains. He carefully examines the explosion phenomenon, the Kolmogorov equations, the convergence to equilibrium and the passage time distributions to a state and to a subset of states. These results are applied to birth-and-death processes. He then proposes a detailed study of the uniformization technique by means of Banach algebra. This technique is used for the transient analysis of several queuing systems.Contents1. Discrete-Time Markov Chains 2. Continuous-Time Markov Chains 3. Birth-and-Death Processes 4. Uniformization 5. QueuesAbout the AuthorsBruno Sericola is a Senior Research Scientist at Inria Rennes Bretagne Atlantique in France. His main research activity is in performance evaluation of computer and communication systems, dependability analysis of fault-tolerant systems and stochastic models.; PDF; Scientific, Technical and Medical > Mathematics, Wiley<
No. 9781118731444. Costi di spedizione:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., Costi di spedizione aggiuntivi
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problems in a large number of domains such as operational research, computer science, communic… Altro …
Markov chains are a fundamental class of stochastic processes. They are widely used to solve problems in a large number of domains such as operational research, computer science, communication networks and manufacturing systems. The success of Markov chains is mainly due to their simplicity of use, the large number of available theoretical results and the quality of algorithms developed for the numerical evaluation of many metrics of interest. The author presents the theory of both discrete-time and continuous-time homogeneous Markov chains. He carefully examines the explosion phenomenon, the Kolmogorov equations, the convergence to equilibrium and the passage time distributions to a state and to a subset of states. These results are applied to birth-and-death processes. He then proposes a detailed study of the uniformization technique by means of Banach algebra. This technique is used for the transient analysis of several queuing systems.Contents1. Discrete-Time Markov Chains 2. Continuous-Time Markov Chains 3. Birth-and-Death Processes 4. Uniformization 5. QueuesAbout the AuthorsBruno Sericola is a Senior Research Scientist at Inria Rennes Bretagne Atlantique in France. His main research activity is in performance evaluation of computer and communication systems, dependability analysis of fault-tolerant systems and stochastic models.; EPUB; Scientific, Technical and Medical > Mathematics, Wiley<
No. 9781118731444. Costi di spedizione:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., Costi di spedizione aggiuntivi
1Poiché alcune piattaforme non trasmettono le condizioni di spedizione e queste possono dipendere dal paese di consegna, dal prezzo di acquisto, dal peso e dalle dimensioni dell'articolo, dall'eventuale iscrizione alla piattaforma, dalla consegna diretta da parte della piattaforma o tramite un fornitore terzo (Marketplace), ecc. è possibile che le spese di spedizione indicate da eurolibro non corrispondano a quelle della piattaforma offerente.
Dati bibliografici del miglior libro corrispondente
Informazioni dettagliate del libro - Markov Chains
EAN (ISBN-13): 9781118731444 ISBN (ISBN-10): 1118731441 Anno di pubblicazione: 2013 Editore: Wiley, J Lingua: eng/Englisch
Libro nella banca dati dal 2012-04-29T09:00:35+02:00 (Rome) Pagina di dettaglio ultima modifica in 2023-06-02T12:22:47+02:00 (Rome) ISBN/EAN: 1118731441
ISBN - Stili di scrittura alternativi: 1-118-73144-1, 978-1-118-73144-4 Stili di scrittura alternativi e concetti di ricerca simili: Autore del libro : bruno, fielding Titolo del libro: markov chains
Dati dell'editore
Autore: Bruno Sericola Titolo: Markov Chains - Theory and Applications Editore: Wiley-ISTE; John Wiley & Sons 416 Pagine Anno di pubblicazione: 2013-08-05 Lingua: Inglese 112,99 € (DE) Not available (reason unspecified)
