Please share your remarks regarding the relation and applications of graph theory in the your areas expertise. Your remarks will be highly appreciated.
@Hesam Moslemzadeh: we use it in analysing structures and forming their incident matrixes...
This dovetails with my principal uses of graph theory. In my case, graph theory is handy in representing connectedness, nerve, and boundedness structures in either Voronoi or Delaunay meshes.
we use it in analysing structures and forming their incident matrixes and using it's null spaces for mechanisms and state of indeterminacies.tensegrity structures are one of the most used areas of it's applications.
@Hesam Moslemzadeh: we use it in analysing structures and forming their incident matrixes...
This dovetails with my principal uses of graph theory. In my case, graph theory is handy in representing connectedness, nerve, and boundedness structures in either Voronoi or Delaunay meshes.
There are a lot of application of graph theory in automata theory, control systems theory, optimal control, distributed control....! I may give you a lot of examples about dear @Sudev! Mason's rules in algebra of block diagram of complex systems is well known long time ago.
In flow networks spanning trees are associated with a set of linearly independent columns in a network incidence matrix, describing for each arc/link which are the starting and ending nodes, for example. A cycle in the network is associated with a set of linearly dependent associated such column vectors. Feasible changes of the vector of flows in the network (with respect to flow balance in the nodes and the amount of flows emanating from the sources and terminating at the sinks can then be described by movements in cycles (whose columns are linearly dependent, and describe algebraically a movement in the null space of the graph-defining matrix). These relations also to some degree explain the effectiveness of linear programming based algorithms for network flow problems.
Many such relations can be found, and often well explained, in basic text books on network flows, such as the excellent one by Ahuja, Magnanti and Orlin.
Graph theory is an important tool of mathematics in different applicable fields. Connectedness problems (where topology arises), traceability, networking and flowcharts, computer science, neuron structures , creating ordered relations between objects and studying their properties in structures of science or reality.
Dear Sudev: I studied the theory of graphs, but restricted mostly to planar graphs, trees and forests and I applied the theory for generating feasible solutions for the layout in plant of sanitary sewerage systems and of drainage pluvial systems. It is a passionate area. I developed several algorithms that combined graph theory with several optimization techniques. Two of my more important research papers (that you can find in my RG page) include the description of such algorithms.