<p><p>The purpose of this book is twofold: first, it sets out to equip the reader with a sound understanding of the foundations of probability theory and stochastic processes, offering step-by-step guidance from basic probability theory to advanced topics, such as stochastic differential equations,
Theory and Simulation of Random Phenomena : Mathematical Foundations and Physical Applications
โ Scribed by Galli, Davide Emilio; Motta, Mario; Vitali, Ettore
- Publisher
- Springer
- Year
- 2018
- Tongue
- English
- Leaves
- 245
- Series
- UNITEXT for Physics
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Subjects
Physics.;Mathematical Methods in Physics.;Probability Theory and Stochastic Processes.;Statistical Theory and Methods.;Mathematical Applications in the Physical Sciences.;Numerical and Computational Physics, Simulation.
๐ SIMILAR VOLUMES
<p>This book highlights mathematical research interests that appear in real life, such as the study and modeling of random and deterministic phenomena. As such, it provides current research in mathematics, with applications in biological and environmental sciences, ecology, epidemiology and social p
This book highlights mathematical research interests that appear in real life, such as the study and modeling of random and deterministic phenomena. As such, it provides current research in mathematics, with applications in biological and environmental sciences, ecology, epidemiology and social pers
Reviews "This new book by Hend Dawood is a fresh introduction to some of the basics of interval computation. It stops short of discussing the more complicated subdivision methods for converging to ranges of values, however it provides a bit of perspective about complex interval arithmetic, constr
Reviews "This new book by Hend Dawood is a fresh introduction to some of the basics of interval computation. It stops short of discussing the more complicated subdivision methods for converging to ranges of values, however it provides a bit of perspective about complex interval arithmetic, constr