Key Features:
- Introduction to stochastic process modelling as an alternative modelling technique
- Shows how stochastic modelling may be succesful where the traditional technique fails
- Overview of stochastic modelling in process technology in the research literature
- Illustration of the principle by a wide range of practical examples
- In-depth and self-contained discussions
- Points the way to both mathematical and technological research in a new, rewarding field
- Introduction to stochastic process modelling as an alternative modelling technique
- Shows how stochastic modelling may be succesful where the traditional technique fails
- Overview of stochastic modelling in process technology in the research literature
- Illustration of the principle by a wide range of practical examples
- In-depth and self-contained discussions
- Points the way to both mathematical and technological research in a new, rewarding field
Or split into 4x interest-free payments of 25% on orders over R50
Learn more
Key Features:
- Introduction to stochastic process modelling as an alternative modelling technique
- Shows how stochastic modelling may be succesful where the traditional technique fails
- Overview of stochastic modelling in process technology in the research literature
- Illustration of the principle by a wide range of practical examples
- In-depth and self-contained discussions
- Points the way to both mathematical and technological research in a new, rewarding field
- Introduction to stochastic process modelling as an alternative modelling technique
- Shows how stochastic modelling may be succesful where the traditional technique fails
- Overview of stochastic modelling in process technology in the research literature
- Illustration of the principle by a wide range of practical examples
- In-depth and self-contained discussions
- Points the way to both mathematical and technological research in a new, rewarding field
Imprint | Elsevier Science Ltd |
Country of origin | United Kingdom |
Series | Mathematics in Science & Engineering |
Release date | July 2007 |
Availability | Expected to ship within 12 - 17 working days |
First published | 2007 |
Authors | Herold G. Dehling, Timo Gottschalk, Alex C. Hoffmann |
Dimensions | 152 x 229 x 17mm (L x W x T) |
Format | Hardcover |
Pages | 290 |
Edition | 211th edition |
ISBN-13 | 978-0-444-52026-5 |
Barcode | 9780444520265 |
Categories | |
LSN | 0-444-52026-0 |