MATHEMATICAL MODELING ON NETWORK FRACTIONAL ROUTING THROUGH INEQUALITIES
Journal Title: International Journal on Computer Science and Engineering - Year 2014, Vol 6, Issue 12
Abstract
A Network is a set, directed, acyclic multigraph over which messages can be transmitted from source node to sink node. Linear programming is one of the most important optimization techniques to help decision making in network. The linear programming problem calls for optimising linear functions of variables called objective function, subject to a set of linear equations and /or inequalities called constraints. The objective function maximize either the total out-flow from source node or total inflow to sink node. We will prove fractional routing capacity for some solvable network using inequalities model.
Authors and Affiliations
S. Asokan , P. Vanitha Muthu
A Novel Texture Synthesis Algorithm Using Patch Matching by Fuzzy Texture Unit
Texture is an important spatial feature useful for identifying objects or regions of interest in an image. This paper presents a novel texture characterization method based on Fuzzy Texture Unit (FTU) for texture synthes...
Adoption and Utilization of Information Communication Technologies among Families in Lagos, Nigeria
Information and Communication Technology devices such as computers, Internet and cell phones are rapidly penetrating into many homes in Nigeria. Social critics have argued whether these devices result in either positive...
Exponential Observers for Lotka-Volterra Systems
This paper solves the exponential observer design problem for Lotka-Volterra systems. Explicitly, Sundarapandian’s theorem (2002) for observer design for exponential observer design is used to solve the nonlinear observe...
Mobile Wireless Enhanced Routing Protocol in Adhoc Networks
Adhoc network consists of peer-to-peer communicating nodes that are highly mobile. As such, an ad-hoc network lacks nfrastructure and the topology of the network changes ynamically. The task of routing data from a source...
A Survey on Hadoop Assisted K-Means Clustering of Hefty Volume Images
The objects or the overview of the objects in a remote sensing image can be detected or generated directly through the use of basic K-means clustering method. ENVI, ERDAS IMAGINE are some of the software that can be used...