Opening book details…
Can I read Stochastic Processes for Physicists : Understanding Noisy Systems on EtoBox?
Stochastic Processes for Physicists : Understanding Noisy Systems by Kurt Jacobs is a nonfiction available to read on EtoBox.
What is Stochastic Processes for Physicists : Understanding Noisy Systems about?
Stochastic processes are an essential part of numerous branches of physics, as well as in biology, chemistry, and finance. This textbook provides a solid understanding of stochastic processes and stochastic calculus in physics, without the need for measure theory. In avoiding measure theory, this textbook gives readers the tools necessary to use stochastic methods in research with a minimum of mathematical background. Coverage of the more exotic Levy processes is included, as is a concise account of numerical methods for simulating stochastic systems driven by Gaussian noise. The book concludes with a non-technical introduction to the concepts and jargon of measure-theoretic probability theory. With over 70 exercises, this textbook is an easily accessible introduction to stochastic processes and their applications, as well as methods for numerical simulation, for graduate students and researchers in physics.
Who reads Stochastic Processes for Physicists : Understanding Noisy Systems?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Kurt Jacobs
- Publisher
- Cambridge University Press (Virtual Publishing)
- Published
- 2010
- Language
- EN
- ISBN
- 9780511677366
- Category
- nonfiction
- Subjects
- Mathematics, Science, Physics
More by Kurt Jacobs
Browse all works by Kurt Jacobs
Similar books
- Probability and Stochastic Processes for Physicists (UNITEXT for Physics) — Nicola Cufaro Petroni (2020)
- Stochastic Calculus of Variations : for Jump Processes — Yasushi Ishikawa (2023)
- Path Integrals for Stochastic Processes : an Introduction — Horacio Sergio Wio Pisin Chen (2013)
- Simulation and Inference for Stochastic Processes with YUIMA : A Comprehensive R Framework for SDEs and Other Stochastic Processes — Stefano M. Iacus, Nakahiro Yoshida (2018)
- Probability and Stochastic Processes — Ionuţ Florescu (2014)
- Probability Theory and Stochastic Processes (Universitext) — Bremaud P (2020)
