Biblioteca Univ. Surcolombiana

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Computational Mathematical Modeling : an integrated Approach Across Scale / Daniela Calvetti and Erkki Somersalo.

By: Calvetti, Daniela [autor].
Contributor(s): Somersalo, Erkki [autor].
Series: Mathematical modeling and computation: Cleveland, USA : The Society for Industrial and Applied Mathematics, 2013Description: 222 páginas : with ilustrations ; 25 cm.Content type: texto Media type: no mediado Carrier type: volumenISBN: 9781611972474.Subject(s): Differential equations | Ecuaciones Diferenciales | Probabilities | Probabilidades | Dimensional analysis | Análisis dimensional | Mathematical models | Modelos matemáticosDDC classification: 511.8 /
Contents:
Review of multivariate calculus and differential equations -- Compartment models -- From compartment models to continuous models -- Dimensional analysis and scaling -- Introduction to stochastic modeling -- Modeling noise -- Modeling with waiting processes -- Markov processes -- Cellular automata, agent-based modeling
Summary: The book concentrates on two modeling paradigms: the macroscopic, in which the authors describe phenomena in terms of time evolution via ordinary differential equations, and the microscopic, which requires knowledge of random events and probability.
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Item type Current location Collection Call number Copy number Status Date due Barcode Item holds
Libros Libros Biblioteca Central
General 511.8 / C167co (Browse shelf) Ej. 1 Available 900000025669
Libros Libros Biblioteca Central
General 511.8 / C167co (Browse shelf) Ej. 2 Available 900000025670
Total holds: 0

Includes bibliographical references and index.

Review of multivariate calculus and differential equations -- Compartment models -- From compartment models to continuous models -- Dimensional analysis and scaling -- Introduction to stochastic modeling -- Modeling noise -- Modeling with waiting processes -- Markov processes -- Cellular automata, agent-based modeling

The book concentrates on two modeling paradigms: the macroscopic, in which the authors describe phenomena in terms of time evolution via ordinary differential equations, and the microscopic, which requires knowledge of random events and probability.

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