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Titlebook: Random Processes for Classical Equations of Mathematical Physics; S. M. Ermakov,V. V. Nekrutkin,A. S. Sipin Book 1989 Springer Science+Bus

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發(fā)表于 2025-3-21 17:20:51 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Random Processes for Classical Equations of Mathematical Physics
編輯S. M. Ermakov,V. V. Nekrutkin,A. S. Sipin
視頻videohttp://file.papertrans.cn/822/821077/821077.mp4
叢書名稱Mathematics and its Applications
圖書封面Titlebook: Random Processes for Classical Equations of Mathematical Physics;  S. M. Ermakov,V. V. Nekrutkin,A. S. Sipin Book 1989 Springer Science+Bus
出版日期Book 1989
關(guān)鍵詞Estimator; Mathematica; Monte Carlo Method; Random variable; Variance; algorithms; mathematical physics; pr
版次1
doihttps://doi.org/10.1007/978-94-009-2243-3
isbn_softcover978-94-010-7504-6
isbn_ebook978-94-009-2243-3Series ISSN 0169-6378
issn_series 0169-6378
copyrightSpringer Science+Business Media Dordrecht 1989
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S. M. Ermakov,V. V. Nekrutkin,A. S. Sipinrimental techniques to clinical and industrial applications. The book will develop with the active involvement of a strong editorial board comprised of leaders from the field. The Encyclopedia of Lipidomics intends to be a comprehensive reference resource serving to bridge the gap between clinical a
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S. M. Ermakov,V. V. Nekrutkin,A. S. Sipinensive covering of all the terms and concepts pertaining to The Encyclopedia of Lipidomics will present a complete overview of the field from fundamentals to new discoveries and from concepts, theories and experimental techniques to clinical and industrial applications. The book will develop with th
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First Boundary Value Problem for the Equation of the Elliptic Type,riate conditions and to construct an unbiased estimator of its solution on the trajectories of the convergent Markov chain adapted to this integral equation. In Section 1.3 the scheme was realized for the simplest example of the interior Dirichlet problem for the Laplace operator. Here a more compli
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Equations with Polynomial Nonlinearity,ons given in [32]. Now we shall take another approach to the unbiased estimation of the solution of equations with polynomial nonlinearity. Since further considerations have a formal character and are cumbersome, it is worthwhile starting with elucidatory examples.
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Various Boundary Value Problems Related to the Laplace Operator,e operator. The main difficulty to be overcome is the obtaining of an integral equation equivalent to a given problem and then choosing a Markov chain on whose trajectories unbiased estimators are to be constructed. For various problems associated with the Laplace operator the difficulty is overcome
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First Boundary Value Problem for the Equation of the Elliptic Type,uation. In Section 1.3 the scheme was realized for the simplest example of the interior Dirichlet problem for the Laplace operator. Here a more complicated and interesting case of an arbitrary elliptic operator with smooth coefficients will be considered.
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