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Signal-flow graphs: Direct method of reduction and MATLAB implementation
(Institute of Electrical and Electronics Engineers (IEEE), 2001-05-01)
Block diagrams and signal-flow graphs are used to represent and to obtain the transfer function of interconnected systems. The reduction of signal-flow graphs is considered simpler than the reduction of block diagrams for ...
Signal-flow graphs: Direct method of reduction and MATLAB implementation
(Institute of Electrical and Electronics Engineers (IEEE), 2001-05-01)
Block diagrams and signal-flow graphs are used to represent and to obtain the transfer function of interconnected systems. The reduction of signal-flow graphs is considered simpler than the reduction of block diagrams for ...
Galerkin finite element method for incompressible thermofluid flows framed within the bond graph theory
(ELSEVIER SCIENCE BV, 2009)
In this paper a bond graph methodology is used to model incompressible fluid flows with viscous and thermal effects. The distinctive characteristic of these flows is the role of pressure, which does not behave as a state ...
Signal-flow graphs: Direct method of reduction and MATLAB implementation
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Identificação dos snarks fluxo-críticos de ordem pequena
(Universidade Federal de São CarlosUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC-SoCâmpus Sorocaba, 2016-04-29)
The main theme of this dissertation are the k-flow-critical graphs, which are graphs that do not have a k-flow but once any two vertices (either adjacent or not) are identified the smaller graph thus obtained has a k-flow. ...
Tutte's 3-flow conjecture and matchings in bipartite graphs
(Charles Babbage Res CtrWinnipegCanadá, 2005)
Flow-critical Graphs
(, 2008)
Uniqueness of entire graphs evolving by mean curvature flow
(2022)
Abstract In this paper we study the uniqueness of graphical mean curvature flow with locally Lipschitz initial data. We first prove that rotationally symmetric entire graphs are unique, without any further assumptions. Our ...
A graph-based approach for contextual image segmentation
(2017-01-10)
Image segmentation is one of the most important tasks in Image Analysis since it allows locating the relevant regions of the images and discarding irrelevant information. Any mistake during this phase may cause serious ...
A Graph-Based Approach for Contextual Image Segmentation
(Ieee, 2016-01-01)
Image segmentation is one of the most important tasks in Image Analysis since it allows locating the relevant regions of the images and discarding irrelevant information. Any mistake during this phase may cause serious ...