- Out-of-Stock
Stochastic Modeling in Process Technology
ID: 175070
Herold Dehling, Timo Gottschalk, Alex Hoffmann
There is an ever increasing need for the reliably complex of processes. Computational modeling techniques, such as CFD and MD may be used as a tool for analysis, analytical process models. Multiphase and multicomponent systems, and high-intensity processes displaying a highly complex behavior and becoming omnipresent in the processing industry.
This book discusses the stochastic process modeling.
The technique is based on the problem of the distribution of the concept of a different phenomenon in the process of the vessel, and it is traditionally done conservation equations.
Using the technique can be greatly simplified. The traditional method is impracticable.
Stochastic modeling has sporadically been used in various ways and guises. This book gives an overview of basic mathematical tools and techniques.
The book also demonstrates how stochastic modeling can be formulated by solving differential balance equations.
This book discusses the stochastic process modeling.
The technique is based on the problem of the distribution of the concept of a different phenomenon in the process of the vessel, and it is traditionally done conservation equations.
Using the technique can be greatly simplified. The traditional method is impracticable.
Stochastic modeling has sporadically been used in various ways and guises. This book gives an overview of basic mathematical tools and techniques.
The book also demonstrates how stochastic modeling can be formulated by solving differential balance equations.
Key Features:
- Introduction to stochastic process modeling as an alternative modeling technique
- Shows how stochastic modeling may be succesful where the traditional technique fails
- Overview of stochastic modeling in the process of studying literature
- Illustration of the principle of 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 modeling as an alternative modeling technique
- Shows how stochastic modeling may be succesful where the traditional technique fails
- Overview of stochastic modeling in the process of studying literature
- Illustration of the principle of 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
175070
Other products in the same category (16)
No product available!
No product available!
2 x 16, 122x44 alphanumeric OLED display, negative (black background), green pixels, 5V, RoHS
Retired
No product available!
No product available!
For generations, humanity has been futilely wrestling with perennial questions, such as whose turn is it to take out the rubbish? Who will hoover today? And, of course, who does the dishes?
Those who volunteer to do all these chores have our eternal respect, but what if no one volunteers? The fair way to handle this would be to let chance decide and throw a coin. If you have ever bet on heads or tails, this means you got close and personal with probability theory and its practical application. UGears 70146
Retired
No product available!
No product available!
No product available!
Kandi Brown, William Hall, Marjorie Hall Snook, Kathleen Garvin
Delivery date unknown
No product available!
Velleman kit for self-assembly of an ultrasonic bats detector. K8118
Retired
No product available!
No product available!
Satya Komatineni, Dave MacLean, Sayed Hashimi
Delivery date unknown
No product available!
No product available!
No product available!
No product available!
No product available!
No product available!
Herold Dehling, Timo Gottschalk, Alex Hoffmann