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書名: Stochastic Partial Differential Equations: A Modeling, White Noise Functional Approach 2/E 2010
詳細資訊
書名: Stochastic Partial Differential Equations: A Modeling, White Noise Functional Approach 2/E 2010
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(特價)Quantum Information An Introduction 2006 <SV> 3-540-30265-4 M. Hayashi 9783540302650 【原文書】 書名:Quantum Information An Introduction 作者:M. Hayashi 出版社:Springer 出版日期:2006/07/30 ISBN:9783540302650
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A Book of Set Theory +作者:Pinter +年份:2014 年1 版 +ISBN:9780486497082 +書號:MA0378P +規格:平裝/單色 +頁數:256 +出版商:Dover Suitable for upper-level undergraduates, this accessible approach to set theory poses rigorous but simple arguments. Each definition is accompanied by commentary that motivates and explains new concepts. Starting with a repetition of the familiar arguments of elementary set theory, the level of abstract thinking gradually rises for a progressive increase in complexity.A historical introduction presents a brief account of the growth of set theory, with special emphasis on problems that led to the development of the various systems of axiomatic set theory. Subsequent chapters explore classes and sets, functions, relations, partially ordered classes, and the axiom of choice. Other subjects include natural and cardinal numbers, finite and infinite sets, the arithmetic of ordinal numbers, transfinite recursion, and selected topics in the theory of ordinals and cardinals. This updated edition features new material by author Charles C. Pinter. 目錄 Chapter 0 Historical Introduction Chapter 1 Classes and Sets Chapter 2 Functions Chapter 3 Relations Chapter 4 Partially Ordered Classes Chapter 5 The Axiom of Choice and Related Principles Chapter 6 The Natural Numbers Chapter 7 Finite and Infinite Sets Chapter 8 Arithmetic of Cardinal Numbers Chapter 9 Arithmetic of the Ordinal Numbers Chapter 10 Transfinite Recursion. Selected Topics in the Theory of Ordinals and Cardinals Chapter 11 Consistency and Independence in Set Theory
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書名:Probability: Theory & Examples 5/e 作者:DURRETT 出版社:CAMBRIDGE 出版日期:2019/00/00 ISBN:9781108473682 內容簡介 ●Provides 200 examples and 450 problems to equip readers to build practical intuition and understand the motivation for the theory ●Offers a modern selection of topics, including multidimensional Brownian motion ●The compact style strikes a balance between completeness and readability, covering a great deal of ground in 400 pages 目錄 1. Measure theory 2. Laws of large numbers 3. Central limit theorems 4. Martingales 5. Markov chains 6. Ergodic theorems 7. Brownian motion 8. Applications to random walk 9. Multidimensional Brownian motion Appendix. Measure theory details.
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【簡介】 This book is devoted to stochastic Navier–Stokes equations and more generally to stochasticity in fluid mechanics. The two opening chapters describe basic material about the existence and uniqueness of solutions: first in the case of additive noise treated pathwise and then in the case of state-dependent noise. The main mathematical techniques of these two chapters are known and given in detail for using the book as a reference for advanced courses. By contrast, the third and fourth chapters describe new material that has been developed in very recent years or in works now in preparation. The new material deals with transport-type noise, its origin, and its consequences on dissipation and well-posedness properties. Finally, the last chapter is devoted to the physical intuition behind the stochastic modeling presented in the book, giving great attention to the question of the origin of noise in connection with small-scale turbulence, its mathematical form, and its consequences on large-scale properties of a fluid. 【目錄】
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