Sensitivity Analysis Graph
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Graph-Based Modelling in Engineering
This book presents versatile, modern and creative applications of graph theory in mechanical engineering, robotics and computer networks. Topics related to mechanical engineering include e.g. machine and mechanism science, mechatronics, robotics, gearing and transmissions, design theory and production processes. The graphs treated are simple graphs, weighted and mixed graphs, bond graphs, Petri nets, logical trees etc. The authors represent several countries in Europe and America, and their contributions show how different, elegant, useful and fruitful the utilization of graphs in modelling of engineering systems can be.
Multibody Dynamics
Author: Jean-Claude Samin
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-10-17
This volume provides the international multibody dynamics community with an up-to-date view on the state of the art in this rapidly growing field of research which now plays a central role in the modeling, analysis, simulation and optimization of mechanical systems in a variety of fields and for a wide range of industrial applications. This book contains selected contributions delivered at the ECCOMAS Thematic Conference on Multibody Dynamics, which was held in Brussels, Belgium and organized by the Université catholique de Louvain, from 4th to 7th July 2011. Each paper reflects the State-of-Art in the application of Multibody Dynamics to different areas of engineering. They are enlarged and revised versions of the communications, which were enhanced in terms of self-containment and tutorial quality by the authors. The result is a comprehensive text that constitutes a valuable reference for researchers and design engineers which helps to appraise the potential for the application of multibody dynamics methodologies to a wide range of areas of scientific and engineering relevance.
Matrices And Graphs
This volume discusses applications on graphs to the analysis of both causal structure of econometric models and input/output matrices; the relationships between general linear models or covariance and graphical models; the characterization of irreducible matrices through graphs; computational matters of eigenvalues of non-negative and symmetrical matrices; qualitative analysis and the sign theorem; topics on the spectrum distribution for real matrices.