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… Más…
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<
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No. 9781118731444 Gastos de envío:Instock, Despatched same working day before 3pm, zzgl. Versandkosten, más gastos de envío Details...
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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… Más…
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. Gastos de envío:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., más gastos de envío Details...
(*) Libro agotado significa que este título no está disponible por el momento en alguna de las plataformas asociadas que buscamos.
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… Más…
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. Gastos de envío:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., más gastos de envío Details...
(*) Libro agotado significa que este título no está disponible por el momento en alguna de las plataformas asociadas que buscamos.
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… Más…
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. Gastos de envío:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., más gastos de envío Details...
(*) Libro agotado significa que este título no está disponible por el momento en alguna de las plataformas asociadas que buscamos.
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… Más…
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 Gastos de envío:Instock, Despatched same working day before 3pm, zzgl. Versandkosten, más gastos de envío
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… Más…
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. Gastos de envío:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., más gastos de envío
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… Más…
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. Gastos de envío:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., más gastos de envío
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… Más…
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. Gastos de envío:Instock, Despatched same working day before 3pm, zzgl. Versandkosten., más gastos de envío
1Dado que algunas plataformas no nos comunican las condiciones de envío y éstas pueden depender del país de entrega, del precio de compra, del peso y tamaño del artículo, de una posible membresía a la plataforma, de una entrega directa por parte de la plataforma o a través de un tercero (Marketplace), etc., es posible que los gastos de envío indicados por eurolibro/terralibro no concuerden con los de la plataforma ofertante.
EAN (ISBN-13): 9781118731444 ISBN (ISBN-10): 1118731441 Año de publicación: 2013 Editorial: Wiley, J Idioma: eng/Englisch
Libro en la base de datos desde 2012-04-29T02:00:35-05:00 (Mexico City) Página de detalles modificada por última vez el 2023-06-02T04:22:47-06:00 (Mexico City) ISBN/EAN: 1118731441
ISBN - escritura alterna: 1-118-73144-1, 978-1-118-73144-4 Mode alterno de escritura y términos de búsqueda relacionados: Autor del libro: bruno, fielding Título del libro: markov chains
Datos del la editorial
Autor: Bruno Sericola Título: Markov Chains - Theory and Applications Editorial: Wiley-ISTE; John Wiley & Sons 416 Páginas Año de publicación: 2013-08-05 Idioma: Inglés 112,99 € (DE) Not available (reason unspecified)
