Stochastic modelling is a powerful tool that has application in a range of diverse fields, from the physical sciences and engineering to the prediction of outcomes in financial planning and trading. Once understood, the principles of stochastic modelling can be applied to optimize the design of controllers used in systems that involve random variables or signals.
This book presents a number of chapters describing some of the issues and challenges associated with stochastic modelling, optimization and control. As well as classic real-world scenarios taken from engineering and market trading, the book will also describe how stochastic methods have been used to model large-scale events such as epidemics, and the use of theoretical, GUI-based stochastic models to investigate physical solids like thin film systems.
This book is targeted at professionals in any field that employs stochastic modelling. It is a key resource for students and researchers in economics/finance, systems and control, engineering and applied mathematics.
| Specifications |
Descriptions |
| ISBN |
9789535115656 |
| Year |
2016 |
| Binding |
Hardcover |
| Subject |
Mathematics & Statistics |
| Pages |
246 |
| Weight |
0.4 |
| Readership |
NA |
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