
Stochastic Modelling in Process Technology by Timo Gottschalk
There is an ever increasing need for modelling complex processes reliably. This book discusses a technique for formulating process models in process technology: stochastic process modelling. It demonstrates how stochastic modelling may be implemented by describing example cases. It also shows how a stochastic model may be formulated for a case.-
An Introduction to Continuum Mechanics
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Fractional Differential Equations
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Calculus for Engineering Students
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Transmutations, Singular and Fractional Differential Equations with Applications to Mathematical Physics
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Proper Orthogonal Decomposition Methods for Partial Differential Equations
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Algebraic and Combinatorial Computational Biology
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Methods of Nonlinear Analysis
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Mathematical Models of the Cell and Cell Associated Objects
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From Dimension-Free Matrix Theory to Cross-Dimensional Dynamic Systems
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Numerical Time-Dependent Partial Differential Equations for Scientists and Engineers
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Three-Dimensional Navier-Stokes Equations for Turbulence
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Computational Error and Complexity in Science and Engineering
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Discrete Dynamical Systems, Bifurcations and Chaos in Economics
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Two-Point Boundary Value Problems: Lower and Upper Solutions
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Dynamical Systems Method for Solving Nonlinear Operator Equations
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Equilibrium Models and Variational Inequalities
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Applications of Functional Analysis and Operator Theory
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Functional Equations in Applied Sciences
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Volterra Integral and Differential Equations
| SKU | Unavailable |
| ISBN 13 | 9780444520265 |
| ISBN 10 | 0444520260 |
| Title | Stochastic Modelling in Process Technology |
| Author | Alex Hoffmann |
| Series | Mathematics In Science And Engineering Ser |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Elsevier |
| Year published | 2007-07-03 |
| Number of pages | 290 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |


















