connected graph. Two players‚ called Cop C and Robber R‚ play a game on G according to the following rules.First C then R occupy some vertex of G. After that they move alternately along the edges of G. The cop C wins if he succeeds in putting himself on top of the robber R‚ otherwise R wins. Both C and R play rationally.In this paper we extend a few results shown in the paper written by Aigner and Fromme[1] and introduce the concept of building tunnels (connecting any two vertices in the graph) and analyse
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Data Analysis: Graph 1 indicates the relationship between the dependent and the independent variable to be; as the concentration of sodium bicarbonate in the solution submerging the leaf discs is increased‚ the average rate of photosynthesis of the leaf discs increased in a linear trend. As it is the sodium bicarbonate which decomposes into carbon dioxide necessary for photosynthesis‚ it is reasonable to consider from Graph 1 that as carbon dioxide concentration of the solution increases‚ the rate
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and amortization policies may differ from company to company. EBITDA‚ PBT & PAT EBITDA is an acronym for Earnings Before Interest‚ Taxes‚ Depreciation‚ and Amortization. PBT stands for Profit Before Tax‚ and PAT stands for Profit After Tax. The graph visually shows how the net profit of the company stand reduced due to the impact of Interest‚ Depreciation‚ and Tax. Total Assets & Asset Turnover Ratio Total Assets is the sum of all assets‚ current and fixed. The asset turnover ratio measures
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the Minimum Spanning Tree (MST)‚ Kruskal’s algorithm is used to determine the MST path for the network. It finds a subset of the edges that forms a tree that includes every vertex‚ where the total weight of all edges in the tree is minimized. If the graph is not connected‚ then it finds a minimum spanning forest that is a minimum spanning tree for each connected component. 2.0 The Problem The Premiere Bank soon will be hooking up computer terminals at each of its branch offices to
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According to the results‚ there was no significant difference between the filtered 100% water composition‚ and the filtered 90% water 10% soap composition. However‚ based on fFigure 2‚ the Average of Absorbance graph‚ showed that growth of the algae for the 100% water composition was observed to be slightly higher than the 90% water 10% soap composition. Meaning the soap may have slightly affected the growth of the algae‚ in some way. One possible‚ reason for a slightly higher growth for the filtered
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[BOUND REFERENCE] Contents Core – Statistical Analysis ................................................................................................................................................. 2 Core – Scattergraph Draw & Interpret (Step 2) ................................................................................................................ 3 Core – Scattergraph Draw & Interpret (Step 2 Continued) .........................................................................
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promote discovery and inferences. Design of information systems‚ in contrast to design of buildings and products‚ depends on topological connectivity rather than Euclidean distance. Understanding graph topology and manipulating graphs are essential skills in the design of information systems‚ because graph manipulation facilitates the refinement of designs and the generation of alternative designs. Here‚ we found that students of systems design have difficulties interpreting diagrams‚ revealing
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Total Float A network diagram is the display of the activities and the relationships among those activities that are logically arranged. To determine the timing of activities‚ we need to use the activity-on-node (AON) method‚ also known as the Precedence Diagram Method (PDM). To understand this better‚ we first need to define the following: (EST) Early start Time is the earliest time the activity can begin. (LST) Late start Time is the latest time the activity can begin and still allow the
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slowly to the house from the origin. Position –Time Graph Graph increased with time and then become constant Velocity-Time Graph Graph increased and decreased with time and then become zero Acceleration –Time Graph Graph increased and decreased with time some time becomes positive and some tie negative then zero. 2. In red make a prediction for the distance-time‚ velocity-time and acceleration-time graphs for each situation. b. The man is sleeping under
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so that I could get a stronger-connected graph. However‚ in some first searches‚ I could not get a reasonable graph as I expected due to 2 reasons. The first one is the limitation number was small‚ and I chose the box “I don’t have a twitter account” was another reason. And the graph was really weak-connected because there were only 4 or 5 edges and about over 90 single points. So I was not able to apply the “graph metrics” contents to consider these graphs. Then I registered to use twitter account
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