- We will send in 10–14 business days.
/images/books/10026909/9781461425427.jpg)
- Author: Zeev Schuss
- Publisher: Springer
- ISBN-10: 1461425425
- ISBN-13: 9781461425427
- Format: 15.6 x 23.4 x 2.5 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Reviews
Description
Stochastic processes and diffusion theory are the mathematical underpinnings of many scientific disciplines, including statistical physics, physical chemistry, molecular biophysics, communications theory and many more. Many books, reviews and research articles have been published on this topic, from the purely mathematical to the most practical.
This book offers an analytical approach to stochastic processes that are most common in the physical and life sciences, as well as in optimal control and in the theory of filltering of signals from noisy measurements. Its aim is to make probability theory in function space readily accessible to scientists trained in the traditional methods of applied mathematics, such as integral, ordinary, and partial differential equations and asymptotic methods, rather than in probability and measure theory.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 23d.23:16:39
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Zeev Schuss
- Publisher: Springer
- ISBN-10: 1461425425
- ISBN-13: 9781461425427
- Format: 15.6 x 23.4 x 2.5 cm, minkšti viršeliai
- Language: English English
Stochastic processes and diffusion theory are the mathematical underpinnings of many scientific disciplines, including statistical physics, physical chemistry, molecular biophysics, communications theory and many more. Many books, reviews and research articles have been published on this topic, from the purely mathematical to the most practical.
This book offers an analytical approach to stochastic processes that are most common in the physical and life sciences, as well as in optimal control and in the theory of filltering of signals from noisy measurements. Its aim is to make probability theory in function space readily accessible to scientists trained in the traditional methods of applied mathematics, such as integral, ordinary, and partial differential equations and asymptotic methods, rather than in probability and measure theory.
Reviews