Markov Processes Differential Equations by Freidlin Mark (19 results)

Condition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

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kartoniert. Condition: Sehr gut. Zust: Gutes Exemplar. 164 Seiten Englisch 330g.

Broschiert. Condition: Sehr gut. Zust: Gutes Exemplar. 152 Seiten, Englisch 332g.

Softcover. Condition: Gut. Basel, Birkhäuser (1996). Some figs. 152 p. Pbck. (edge slightly stained, otherwise in good condition).- Lectures in Mathematics ETH Zürich.

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Condition: New. pp. 164.

Condition: New. This volume presents new results in probability theory and partial differential equations related to asymptotic Series: Lectures in Mathematics. ETH Zurich. Num Pages: 154 pages, 2 black & white illustrations, biography. BIC Classification: PBKJ; PBT; PBWL. Category: (P) Professional & Vocational. Dimension: 244 x 170 x 8. Weight in Grams: 600. . 1996. Softcover reprint of the original 1st ed. 1996. Paperback. . . . .

Paperback or Softback. Condition: New. Markov Processes and Differential Equations: Asymptotic Problems. Book.

Condition: New. This volume presents new results in probability theory and partial differential equations related to asymptotic Series: Lectures in Mathematics. ETH Zurich. Num Pages: 154 pages, 2 black & white illustrations, biography. BIC Classification: PBKJ; PBT; PBWL. Category: (P) Professional & Vocational. Dimension: 244 x 170 x 8. Weight in Grams: 600. . 1996. Softcover reprint of the original 1st ed. 1996. Paperback. . . . . Books ship from the US and Ireland.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Probabilistic methods can be applied very successfully to a number of asymptotic problems for second-order linear and non-linear partial differential equations. Due to the close connection between the second order differential operators with a non-negative characteristic form on the one hand and Markov processes on the other, many problems in PDE's can be reformulated as problems for corresponding stochastic processes and vice versa. In the present book four classes of problems are considered: - the Dirichlet problem with a small parameter in higher derivatives for differential equations and systems - the averaging principle for stochastic processes and PDE's - homogenization in PDE's and in stochastic processes - wave front propagation for semilinear differential equations and systems. From the probabilistic point of view, the first two topics concern random perturbations of dynamical systems. The third topic, homog- enization, is a natural problem for stochastic processes as well as for PDE's. Wave fronts in semilinear PDE's are interesting examples of pattern formation in reaction-diffusion equations. The text presents new results in probability theory and their applica- tion to the above problems. Various examples help the reader to understand the effects. Prerequisites are knowledge in probability theory and in partial differential equations.

Taschenbuch. Condition: Neu. Markov Processes and Differential Equations | Asymptotic Problems | Mark I. Freidlin | Taschenbuch | Einband - flex.(Paperback) | Englisch | 1996 | Birkhäuser | EAN 9783764353926 | Verantwortliche Person für die EU: Springer Nature c/o IBS, Benzstr. 21, 48619 Heek, tanja[dot]keller[at]springer[dot]com | Anbieter: preigu.

Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Probabilistic methods can be applied very successfully to a number of asymptotic problems for second-order linear and non-linear partial differential equations. Due to the close connection between the second order differential operators with a non-negative characteristic form on the one hand and Markov processes on the other, many problems in PDE's can be reformulated as problems for corresponding stochastic processes and vice versa. In the present book four classes of problems are considered: - the Dirichlet problem with a small parameter in higher derivatives for differential equations and systems - the averaging principle for stochastic processes and PDE's - homogenization in PDE's and in stochastic processes - wave front propagation for semilinear differential equations and systems. From the probabilistic point of view, the first two topics concern random perturbations of dynamical systems. The third topic, homog- enization, is a natural problem for stochastic processes as well as for PDE's. Wave fronts in semilinear PDE's are interesting examples of pattern formation in reaction-diffusion equations. The text presents new results in probability theory and their applica- tion to the above problems. Various examples help the reader to understand the effects. Prerequisites are knowledge in probability theory and in partial differential equations. 154 pp. Englisch.

Condition: New. Print on Demand pp. 164 67:B&W 6.69 x 9.61 in or 244 x 170 mm (Pinched Crown) Perfect Bound on White w/Gloss Lam.

Condition: New. PRINT ON DEMAND pp. 164.

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Probabilistic methods can be applied very successfully to a number of asymptotic problems for second-order linear and non-linear partial differential equations. Due to the close connection between the second order differential operators with a non-negative .

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Probabilistic methods can be applied very successfully to a number of asymptotic problems for second-order linear and non-linear partial differential equations. Due to the close connection between the second order differential operators with a non-negative characteristic form on the one hand and Markov processes on the other, many problems in PDE's can be reformulated as problems for corresponding stochastic processes and vice versa. In the present book four classes of problems are considered: - the Dirichlet problem with a small parameter in higher derivatives for differential equations and systems - the averaging principle for stochastic processes and PDE's - homogenization in PDE's and in stochastic processes - wave front propagation for semilinear differential equations and systems. From the probabilistic point of view, the first two topics concern random perturbations of dynamical systems. The third topic, homog- enization, is a natural problem for stochastic processes as well as for PDE's. Wave fronts in semilinear PDE's are interesting examples of pattern formation in reaction-diffusion equations. The text presents new results in probability theory and their applica- tion to the above problems. Various examples help the reader to understand the effects. Prerequisites are knowledge in probability theory and in partial differential equations. 164 pp. Englisch.