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本书是毛学荣著的随机微分等式及其应用，里面有伊藤积分，随机微分等式，布朗运动，各种关于随机微分的知识，如果是学习随机过程方向的同学，真本书是很值得深入学习的一本专业书

将能够增强图像纹理信息的分数阶微分算子与变分偏微分方程相结合，运用于图像去噪，提出一种基于分数阶偏微分算子的去噪模型。该模型能够在抑制噪声的同时，更好地保持图像的纹理细节信息。由于分数阶微分算子的阶数必须通过大量的实验人为确定，因此选择通过计算局部方差来反应图像局部纹理复杂度，自适应地确定分数阶微分的阶数。实验表明：自适应分数阶偏微分算子不仅继承了TV模型的优点，并且在保持图像细节信息上的能力更强。

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Differential Equations and Linear Algebra (4th Edition) By 作者: C. Henry Edwards – David E. Penney – David Calvis ISBN-10 书号: 013449718X ISBN-13 书号: 9780134497181 Edition 版本: 4 出版日期: 2017-01-14 pages 页数: (768 ) Pearson纯净原版超清 $204.4 For courses in Differential Equations and Linear Algebra. Concepts, methods, and core topics covering elementary differential equations and linear algebra through real-world applications In a contemporary introduction to differential equations and linear algebra, acclaimed authors Edwards and Penney combine core topics in elementary differential equations with concepts and methods of elementary linear algebra. Renowned for its real-world applications and blend of algebraic and geometric approaches, Differential Equations and Linear Algebra introduces you to mathematical modeling of real-world phenomena and offers the best problems sets in any differential equations and linear algebra textbook. The 4th Edition includes fresh new computational and qualitative flavor evident throughout in figures, examples, problems, and applications. Additionally, an Expanded Applications website containing expanded applications and programming tools is now available. Contents Application Modules Preface 1 First-Order Differential Equations 2 Mathematical Models and Numerical Methods 3Linear Systemsand Matrices 4Vector Spaces 5Higher-Order Linear Differential Equations 6Eigenvalues and Eigenvectors 7 Linear Systems of Differential Equations 8 Matrix Exponential Methods 9 Nonlinear Systems and Phenomena 10 Laplace Transform Methods 11 Power Series Methods References for Further Study Appendix A:Existence and Uniqueness of Solutions Appendix B:Theory of Determinants Answers to Selected Problems