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Title: Complexities of Graph-Based Representations for Elementary Functions
Page Link: Complexities of Graph-Based Representations for Elementary Functions -
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This paper analyzes complexities of decision diagrams for elementary functions such as polynomial, trigonometric,logarithmic, square root, and reciprocal functions. These real functions are converted into integer-valued functions by using fixed-point representation. This paper presents the numbers of nodes in decision diagrams representing the integer-valued functions. First, complexities of decision diagrams for polynomial functions are analyzed, since elementary functions can be approximated by polynomial functions. A theoretical analysis sho ....etc

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Title: report for mining web graph recommendation
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Title: invitation to graph theory by s arumugam pdf download graph
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In mathematics and computer science, graph theory is the study of graphs, which are mathematical structures used to model pairwise relations between objects. A graph in this context is made up of vertices, nodes, or points which are connected by edges, arcs, or lines. A graph may be undirected, meaning that there is no distinction between the two vertices associated with each edge, or its edges may be directed from one vertex to another; see Graph (discrete mathematics) for more detailed definitions and for other variations in the types of grap ....etc

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Title: Graph Separators
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Posted By: er.aloksahu
Created at: Thursday 17th of August 2017 06:40:49 AM
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Graph separation is a well-known tool to make (hard) graph problems accessible to a divide and conquer approach. We show how to use graph separator theorems in combination with (linear) problem kernels in order to develop fixed parameter algorithms for many well-known NP-hard (planar) graph problems.
We coin the key notion of glueable select verify graph problems and derive from that a prospective way to easily check whether a planar graph problem will allow for a fixed parameter algorithm of running time for constant c.
Besides, we introduc ....etc

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Title: DYNAMIC GRAPH ALGORITHMS
Page Link: DYNAMIC GRAPH ALGORITHMS -
Posted By: sheena nasim
Created at: Thursday 17th of August 2017 05:06:02 AM
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BY
RAMESH.V.P -EPAHEIT039
GUIDED BY
Mrs.Jayasree.P
Lecturer in IT


OVERVIEW

1.Introduction
2.Dynamic problems on undirected graphs
2.1 General techniques and data structures
2.2 Connectivity
3.Highly Dynamic Network problem
4.Conclusion
5.References

INTRODUCTION

Dynamic graph algorithms describe a whole body of algorithms and datastructures for dynamically changing graphs.
A dynamic graph is a graph that is undergoing a sequence of updates.
The goal of a dynami ....etc

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Title: aradhya tutorials notes graph theory
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aradhya tutorials notes graph theory

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Title: Optimized Graph Search Using Multi-Level Graph Clustering
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Posted By: pervez4pari
Created at: Thursday 17th of August 2017 05:58:46 AM
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presented by:
Rahul Kala

Abstract
Graphs find a variety of use in numerous domains especially because of their capability to model common problems. The social networking graphs that are used for social networking analysis, a feature given by various social networking sites are an example of this. Graphs can also be visualized in the search engines to carry search operations and provide results. Various searching algorithms have been developed for searching in graphs. In this paper we propose that the entire network graph be ....etc

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Title: Planar Separators
Page Link: Planar Separators -
Posted By: akhil
Created at: Thursday 17th of August 2017 08:08:24 AM
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Introduction

I/O-efficient graph algorithms have received considerable attention lately because massive graphs arise naturally in many applications. Recent web crawls, for example, produce graphs of on the order of 200 million nodes and 2 billion edges. Recent work in web modeling uses depth-first search, breadth-first search, shortest paths, and connected components as primitive operations for investigating the structure of the web.

Massive graphs are also often manipulated in Geographic Information Systems (GIS), where many fundamental ....etc

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