Monte Carlo method for linear and nonlinear boundary value problems: Foundation, algorithms, numerical solutions and applications - Couverture souple

Rasulov, Abdujabar; Raimova, Gulnora

 
9783845411835: Monte Carlo method for linear and nonlinear boundary value problems: Foundation, algorithms, numerical solutions and applications
Couverture souple
ISBN 10 : 384541183X ISBN 13 : 9783845411835
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

Availability of multiprocessor computers, allows us to solve many complex problems using Monte Carlo method. Monte Carlo methods have been further developed to solve a variety of multidimensional integrals, linear and nonlinear boundary value problems. In monograph we used the deep connections between differential equations and random processes. This connection has been known long ago, the results of the theory of differential equations have been widely used in the theory of probability and vice versa. The solutions of large class linear and nonlinear equations of elliptic and parabolic type may be represented in the form of integrals over the trajectories of Markov process. In the current work we study the approaches connected with simple and branching Markov processes. We obtained effective unbiased estimators for the solutions. Constructed numerical algorithms are strict proved and used for the solution of problems of mathematical physics. This book meant for specialists of numerical methods who applied Monte Carlo methods for the solution boundary value problems, calculating multidimensional integrals and work in the area financial mathematics and statistics.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Availability of multiprocessor computers, allows us to solve many complex problems using Monte Carlo method. Monte Carlo methods have been further developed to solve a variety of multidimensional integrals, linear and nonlinear boundary value problems. In monograph we used the deep connections between differential equations and random processes. This connection has been known long ago, the results of the theory of differential equations have been widely used in the theory of probability and vice versa. The solutions of large class linear and nonlinear equations of elliptic and parabolic type may be represented in the form of integrals over the trajectories of Markov process. In the current work we study the approaches connected with simple and branching Markov processes. We obtained effective unbiased estimators for the solutions. Constructed numerical algorithms are strict proved and used for the solution of problems of mathematical physics. This book meant for specialists of numerical methods who applied Monte Carlo methods for the solution boundary value problems, calculating multidimensional integrals and work in the area financial mathematics and statistics.

Biographie de l'auteur

Professor, Field of study: Monte Carlo methods and asynchronous algorithms. Head of Department Mathematical Modeling and Informatics,University of World Economy and Diplomacy (UWED). Co-autor: Gulnora Raimova, Field of study: Monte Carlo methods. Associate professor of Department Mathematical Modeling and Informatics, UWED,Tashkent,Uzbekistan

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
384541183X
ISBN 13 
9783845411835
Reliure
Broché
Nombre de pages
268
Coordonnées du fabricant
non disponible
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