Applied Stochastic Analysis
โ Scribed by Weinan E; Tiejun Li; Eric Vanden-Eijnden
- Publisher
- American Mathematical Society
- Year
- 2019
- Tongue
- English
- Leaves
- 330
- Series
- Graduate studies in mathematics 199
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This is a textbook for advanced undergraduate students and beginning graduate students in applied mathematics. It presents the basic mathematical foundations of stochastic analysis (probability theory and stochastic processes) as well as some important practical tools and applications (e.g., the connection with differential equations, numerical methods, path integrals, random fields, statistical physics, chemical kinetics, and rare events). The book strikes a nice balance between mathematical formalism and intuitive arguments, a style that is most suited for applied mathematicians. Readers can learn both the rigorous treatment of stochastic analysis as well as practical applications in modeling and simulation. Numerous exercises nicely supplement the main exposition.
๐ SIMILAR VOLUMES
Stochastic Analysis and Systems: Multidimensional Wick-Ito Formula for Gaussian Processes (D Nualart & S Ortiz-Latorre); Fractional White Noise Multiplication (A H Tsoi); Invariance Principle of Regime-Switching Diffusions (C Zhu & G Yin); Finance and Stochastics: Real Options and Competition (A Ben
This book is a comprehensive exploration of the interplay between Stochastic Analysis, Geometry, and Partial Differential Equations (PDEs). It aims to investigate the influence of geometry on diffusions induced by underlying structures, such as Riemannian or sub-Riemannian geometries, and examine th