Opening book details…
Can I read Stochastic World (Mathematical Engineering) on EtoBox?
Stochastic World (Mathematical Engineering) by Sergey S. Stepanov (auth.) is a nonfiction available to read on EtoBox.
What is Stochastic World (Mathematical Engineering) about?
This book is an introduction into stochastic processes for physicists, biologists and financial analysts. Using an informal approach, all the necessary mathematical tools and techniques are covered, including the stochastic differential equations, mean values, probability distribution functions, stochastic integration and numerical modeling. Numerous examples of practical applications of the stochastic mathematics are considered in detail, ranging from physics to the financial theory. A reader with basic knowledge of the probability theory should have no difficulty in accessing the book content. Erscheinungsdatum: 02.07.2013
Who reads Stochastic World (Mathematical Engineering)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Sergey S. Stepanov (auth.)
- Publisher
- Springer International Publishing : Imprint: Springer
- Published
- 2013
- Language
- EN
- ISBN
- 9783319000701
- Category
- nonfiction
- Subjects
- Science, Mathematics, Engineering
More by Sergey S. Stepanov (auth.)
Browse all works by Sergey S. Stepanov (auth.)
Similar books
- Stochastic Integration (PROBABILITY AND MATHEMATICAL STATISTICS) — Jean Pellaumail Michel Metivier (1980)
- Stochastic Calculus of Variations in Mathematical Finance — Paul Malliavin and Anton Thalmaier (2006)
- Mathematical Methods in Robust Control of Linear Stochastic Systems (Mathematical Concepts and Methods in Science and Engineering Book 50) — Vasile Dragan, Toader Morozan, Adrian-Mihail Stoica (auth.) (2006)
- Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation (Stochastic Modelling and Applied Probability Book 68) — Carl Graham, Denis Talay (auth.) (2013)
- Stochastic Calculus and Stochastic Models (Probability and Mathematical Statistics, 25) — E. J. McShane; Z. W. Birnbaum; E. Lukacs (1975)
- Stochastic PDEs and Dynamics — Boling Guo; Hongjun Gao (Mathematics professor); Xueke Pu (2016)
