stochastic differential equations

(出版社)American Mathematical Society Introduction to Stochastic Differential Equations 1冊 978-1-4704-1054-4洋書 Paperback, Backward Stochastic Differential Equations: From Linear to Fully Nonlinear Theory (Probability Theory and Stochastic Modelling (86))Numerical Solution of Stochastic Differential Equations (Stochastic Modelling and Applied Probability, 23) ハードカバー KloedenApplied Stochastic Differential Equations【電子書籍】 Simo S rkk【中古】Vol.VIII Mixing stochastic differential equations Weakly Dependent Stochastic Sequences and Their Applications(単行本)Vol.VIII Mixing stochastic differential equations (Weakly Dependent Stochastic Sequences and Their Applications) 吉原 健一Asymptotic Analysis for Functional Stochastic Differential Equations【電子書籍】 Jianhai BaoAnalytic Theory of It -Stochastic Differential Equations with Non-smooth Coefficients【電子書籍】 Haesung Lee【中古】Vol.VIII Mixing stochastic differential equations Weakly Dependent Stochastic Sequences and Their Applications(単行本)Stochastic Differential Equations, Backward SDEs, Partial Differential Equations【電子書籍】 Etienne PardouxStochastic Partial Differential Equations and Related Fields In Honor of Michael R ckner SPDERF, Bielefeld, Germany, October 10 -14, 2016【電子書籍】Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA ハードカバー Krainski, Elias G mez-RubioPseudo-Differential Equations And Stochastics Over Non-Archimedean Fields【電子書籍】 Anatoly KochubeiStochastic Partial Differential Equations【電子書籍】 Pao-Liu ChowYosida Approximations of Stochastic Differential Equations in Infinite Dimensions and Applications【電子書籍】 T. E. GovindanContinuous Parameter Markov Processes and Stochastic Differential Equations【電子書籍】 Rabi BhattacharyaStochastic Differential Equations and Applications【電子書籍】 X MaoDiffusion Processes, Jump Processes, and Stochastic Differential Equations【電子書籍】 Wojbor A. Woyczy skiStochastic Partial Differential Equations: An Introduction STOCHASTIC PARTIAL DIFFERENTIA (Universitext) Wei LiuStochastic Partial Differential Equations and Applications【電子書籍】
 

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  • (出版社)American Mathematical Society Introduction to Stochastic Differential Equations 1冊●著者:Evans, Lawrence C.●和文:確率微分方程式入門●頁数他:151 p.●装丁:Hard●出版社:American Mathematical Society●発行日:2014/1/30
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  • *** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 ・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。 ・お名前またはご住所が法人・団体名義(XX株式会社等)、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。 ・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。 ・当店でご購入された商品は、原則として、「個...
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  • 【30日間返品保証】商品説明に誤りがある場合は、無条件で弊社送料負担で商品到着後30日間返品を承ります。ご満足のいく取引となるよう精一杯対応させていただきます。※下記に商品説明およびコンディション詳細、出荷予定・配送方法・お届けまでの期間について記載しています。ご確認の上ご購入ください。【インボイス制度対応済み】当社ではインボイス制度に対応した適格請求書発行事業者番号(通称:T番号・登録番号)を印字した納品書(明細書)を商品に同梱してお送りしております。こちらをご利用いただくことで、税務申告時や確定申告時に消費税額控除を受けることが可能になります。また、適格請求書発行事業者番号の入った領収書・請求書をご注文履歴からダウンロードして頂くこともできます(宛名はご希望のものを入力して頂けます)。■商品名■Numerical Solution of Stochastic Differential Equations (Stochastic Modelling and Applied Probability 23)■出版社■Springer■著者■Kloeden Peter E.■発行年■1992/08/06■ISBN10■3540540628■ISBN13■9783540540625■コンディションランク■良いコンディションランク説明ほぼ新品:未使用に近い状態の商品非常に良い:傷...
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  • <p>Stochastic differential equations are differential equations whose solutions are stochastic processes. They exhibit appealing mathematical properties that are useful in modeling uncertainties and noisy phenomena in many disciplines. This book is motivated by applications of stochastic differential equations in target tracking and medical technology and, in particular, their use in methodologies such as filtering, smoothing, parameter estimation, and machine learning. It builds an intuitive hands-on understanding of what stochastic differential equations are all about, but also covers the essentials of It? calculus, the central theorems in the field, and such approximation schemes as stochastic Runge?Kutta. Greater emphasis is given to solution methods than to analysis of theoretical properties of the equations. The book's practical approach assumes only prior understanding of ordinary differential equations. The numerous worked examples and end-of-chapter exercises include appl...
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  • ◆◆◆おおむね良好な状態です。中古商品のため若干のスレ、日焼け、使用感等ある場合がございますが、品質には十分注意して発送いたします。 【毎日発送】 商品状態 著者名 著:吉原 健一 出版社名 三省堂 発売日 2015-04-01 ISBN 9784385357812
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  • 【30日間返品保証】商品説明に誤りがある場合は、無条件で弊社送料負担で商品到着後30日間返品を承ります。ご満足のいく取引となるよう精一杯対応させていただきます。※下記に商品説明およびコンディション詳細、出荷予定・配送方法・お届けまでの期間について記載しています。ご確認の上ご購入ください。【インボイス制度対応済み】当社ではインボイス制度に対応した適格請求書発行事業者番号(通称:T番号・登録番号)を印字した納品書(明細書)を商品に同梱してお送りしております。こちらをご利用いただくことで、税務申告時や確定申告時に消費税額控除を受けることが可能になります。また、適格請求書発行事業者番号の入った領収書・請求書をご注文履歴からダウンロードして頂くこともできます(宛名はご希望のものを入力して頂けます)。■商品名■Vol.VIII Mixing stochastic differential equations (Weakly Dependent Stochastic Sequences and Their Applications)■出版社■三省堂■著者■吉原 健一■発行年■2015/04/01■ISBN10■4385357811■ISBN13■9784385357812■コンディションランク■非常に良いコンディションランク説明ほぼ新品:未使用に近い状態の商品非常に良い...
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  • <p>This brief treats dynamical systems that involve delays and random disturbances. The study is motivated by a wide variety of systems in real life in which random noise has to be taken into consideration and the effect of delays cannot be ignored. Concentrating on such systems that are described by functional stochastic differential equations, this work focuses on the study of large time behavior, in particular, ergodicity.</p> <p>This brief is written for probabilists, applied mathematicians, engineers, and scientists who need to use delay systems and functional stochastic differential equations in their work. Selected topics from the brief can also be used in a graduate level topics course in probability and stochastic processes.</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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  • <p>This book provides analytic tools to describe local and global behavior of solutions to It?-stochastic differential equations with non-degenerate Sobolev diffusion coefficients and locally integrable drift. Regularity theory of partial differential equations is applied to construct such solutions and to obtain strong Feller properties, irreducibility, Krylov-type estimates, moment inequalities, various types of non-explosion criteria, and long time behavior, e.g., transience, recurrence, and convergence to stationarity.</p> <p>The approach is based on the realization of the transition semigroup associated with the solution of a stochastic differential equation as a strongly continuous semigroup in the <em>L**p</em>-space with respect to a weight that plays the role of a sub-stationary or stationary density. This way we obtain in particular a rigorous functional analytic description of the generator of the solution of a stochastic differential equation and its full domai...
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  • ◆◆◆非常にきれいな状態です。中古商品のため使用感等ある場合がございますが、品質には十分注意して発送いたします。 【毎日発送】 商品状態 著者名 著:吉原 健一 出版社名 三省堂 発売日 2015-04-01 ISBN 9784385357812
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  • <p>This research monograph presents results to researchers in stochastic calculus, forward and backward stochastic differential equations, connections between diffusion processes and second order partial differential equations (PDEs), and financial mathematics. It pays special attention to the relations between SDEs/BSDEs and second order PDEs under minimal regularity assumptions, and also extends those results to equations with multivalued coefficients. The authors present in particular the theory of reflected SDEs in the above mentioned framework and include exercises at the end of each chapter.</p> <p>Stochastic calculus and stochastic differential equations (SDEs) were first introduced by K. It? in the 1940s, in order to construct the path of diffusion processes (which are continuous time Markov processes with continuous trajectories taking their values in a finite dimensional vector space or manifold), which had been studied from a more analytic point of view by Kolmogoro...
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  • <p>This Festschrift contains five research surveys and thirty-four shorter contributions by participants of the conference ''Stochastic Partial Differential Equations and Related Fields'' hosted by the Faculty of Mathematics at Bielefeld University, October 10?14, 2016. The conference, attended by more than 140 participants, including PostDocs and PhD students, was held both to honor Michael R?ckner's contributions to the field on the occasion of his 60th birthday and to bring together leading scientists and young researchers to present the current state of the art and promising future developments.</p> <p>Each article introduces a well-described field related to Stochastic Partial Differential Equations and Stochastic Analysis in general. In particular, the longer surveys focus on Dirichlet forms and Potential theory, the analysis of Kolmogorov operators, Fokker?Planck equations in Hilbert spaces, the theory of variational solutions to stochastic partial differential equation...
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  • 【30日間返品保証】商品説明に誤りがある場合は、無条件で弊社送料負担で商品到着後30日間返品を承ります。ご満足のいく取引となるよう精一杯対応させていただきます。※下記に商品説明およびコンディション詳細、出荷予定・配送方法・お届けまでの期間について記載しています。ご確認の上ご購入ください。【インボイス制度対応済み】当社ではインボイス制度に対応した適格請求書発行事業者番号(通称:T番号・登録番号)を印字した納品書(明細書)を商品に同梱してお送りしております。こちらをご利用いただくことで、税務申告時や確定申告時に消費税額控除を受けることが可能になります。また、適格請求書発行事業者番号の入った領収書・請求書をご注文履歴からダウンロードして頂くこともできます(宛名はご希望のものを入力して頂けます)。■商品名■Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA■出版社■Chapman and Hall/CRC■著者■Krainski Elias■発行年■2018/12/19■ISBN10■1138369853■ISBN13■9781138369856■コンディションランク■非常に良いコンディションランク説明ほぼ新品:未使用に近い状態の商品非常に良い:傷...
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  • <p>Provides comprehensive coverage of the most recent developments in the theory of non-Archimedean pseudo-differential equations and its application to stochastics and mathematical physics--offering current methods of construction for stochastic processes in the field of p-adic numbers and related structures. Develops a new theory for parabolic equat</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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  • <p>As a relatively new area in mathematics, stochastic partial differential equations (PDEs) are still at a tender age and have not yet received much attention in the mathematical community. Filling the void of an introductory text in the field, Stochastic Partial Differential Equations introduces PDEs to students familiar with basic probability theor</p>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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  • <p>This research monograph brings together, for the first time, the varied literature on Yosida approximations of stochastic differential equations (SDEs) in infinite dimensions and their applications into a single cohesive work. The author provides a clear and systematic introduction to the Yosida approximation method and justifies its power by presenting its applications in some practical topics such as stochastic stability and stochastic optimal control. The theory assimilated spans more than 35 years of mathematics, but is developed slowly and methodically in digestible pieces.</p> <p>The book begins with a motivational chapter that introduces the reader to several different models that play recurring roles throughout the book as the theory is unfolded, and invites readers from different disciplines to see immediately that the effort required to work through the theory that follows is worthwhile. From there, the author presents the necessary prerequisite material, and then...
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  • <p>This graduate text presents the elegant and profound theory of continuous parameter Markov processes and many of its applications. The authors focus on developing context and intuition before formalizing the theory of each topic, illustrated with examples.</p> <p>After a review of some background material, the reader is introduced to semigroup theory, including the Hille?Yosida Theorem, used to construct continuous parameter Markov processes. Illustrated with examples, it is a cornerstone of Feller’s seminal theory of the most general one-dimensional diffusions studied in a later chapter. This is followed by two chapters with probabilistic constructions of jump Markov processes, and processes with independent increments, or L?vy processes. The greater part of the book is devoted to It?’s fascinating theory of stochastic differential equations, and to the study of asymptotic properties of diffusions in all dimensions, such as explosion, transience, recurrence, existence of s...
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  • <p>This advanced undergraduate and graduate text has now been revised and updated to cover the basic principles and applications of various types of stochastic systems, with much on theory and applications not previously available in book form. The text is also useful as a reference source for pure and applied mathematicians, statisticians and probabilists, engineers in control and communications, and information scientists, physicists and economists.</p> <ul> <li>Has been revised and updated to cover the basic principles and applications of various types of stochastic systems</li> <li>Useful as a reference source for pure and applied mathematicians, statisticians and probabilists, engineers in control and communications, and information scientists, physicists and economists</li> </ul>画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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  • <p><em><strong>Diffusion Processes, Jump Processes, and Stochastic Differential Equations</strong></em> provides a compact exposition of the results explaining interrelations between di?usion stochastic processes, stochastic di?erential equations and the fractional in?nitesimal operators. The draft of this book has been extensively classroom tested by the author at Case Western Reserve University in a course that enrolled seniors and graduate students majoring in mathematics, statistics, engineering, physics, chemistry, economics and mathematical ?nance. The last topic proved to be particularly popular among students looking for careers on Wall Street and in research organizations devoted to ?nancial problems.</p> <p>Features</p> <ul> <li></li> <li>Quickly and concisely builds from basic probability theory to advanced topics</li> <li></li> <li>Suitable as a primary text for an advanced course in diffusion processes and stochastic differential equation...
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  • STOCHASTIC PARTIAL DIFFERENTIA Universitext Wei Liu Michael Rockner SPRINGER NATURE2015 Paperback English ISBN:9783319223537 洋書 Computers & Science(コンピューター&科学) Mathematics
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  • <p>Based on the proceedings of the International Conference on Stochastic Partial Differential Equations and Applications-V held in Trento, Italy, this illuminating reference presents applications in filtering theory, stochastic quantization, quantum probability, and mathematical finance and identifies paths for future research in the field.</p> <p>Stochastic Partial Differential Equations and Applications analyzes recent developments in the study of quantum random fields, control theory, white noise, and fluid dynamics. It presents precise conditions for nontrivial and well-defined scattering, new Gaussian noise terms, models depicting the asymptotic behavior of evolution equations, and solutions to filtering dilemmas in signal processing.</p> <p>With contributions from more than 40 leading experts in the field, Stochastic Partial Differential Equations and Applications is an excellent resource for pure and applied mathematicians; numerical analysts; mathematical physicis...
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