Logo

Dynamic Modelling by Alisson V. Brito

Small book cover: Dynamic Modelling

Dynamic Modelling
by

Publisher: InTech
ISBN-13: 9789537619688
Number of pages: 300

Description:
Dynamic modelling means modelling processes or systems, which are formed by attributes changing over time. Such dynamic aspect can make these processes and systems extremely complex. Vehicles transmission and engines, reconfigurable microchips, earthquakes and the effect of diseases in organisms are some examples of complex dynamic systems modeled and presented in this book.

Home page url

Download or read it online for free here:
Download link
(15MB, PDF)

Similar books

Book cover: From Algorithms to Z-Scores: Probabilistic and Statistical Modeling in Computer ScienceFrom Algorithms to Z-Scores: Probabilistic and Statistical Modeling in Computer Science
by - University of California, Davis
The materials here form a textbook for a course in mathematical probability and statistics for computer science students. Computer science examples are used throughout, in areas such as: computer networks; data and text mining; computer security...
(9756 views)
Book cover: Simulation with AnyLogicSimulation with AnyLogic
- Wikibooks
This book helps you to start modeling with AnyLogic -- a multi-method simulation modeling tool that supports different modeling techniques. Topics covered: Agent-Based Modeling; System Dynamics; Discrete Event Simulation; Pedestrian Simulation.
(12773 views)
Book cover: Modelling and SimulationModelling and Simulation
by - InTech
This book collects research studies concerning modeling and simulation of physical systems in a very wide range of applications: micro-electro-mechanical systems, measurement instrumentations, catalytic reactors, biomechanical applications, etc.
(16328 views)
Book cover: Computer Simulation Techniques - The Definitive IntroductionComputer Simulation Techniques - The Definitive Introduction
by - NC State University
The generation of pseudo-random numbers, the generation of stochastic variates, simulation designs, estimation techniques for analyzing endogenously created data, validation of a simulation model, variance reduction techniques, etc.
(17042 views)