Vertex Form – Graph the following functions (a) (b) II. Graphing from Factored Form (a) (b) III. Graphing from Standard Form by Completing The Square – Graph the following functions by completing the square to get vertex form (a) (b) IV. Graphing from Standard Form using –b/2a – Graph the following functions without completing the square (a) (b) V. Graphing from Standard Form by Factoring – Graph the following
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Weaknesses Strengths: The article is easy to follow because it uses heading. For example‚ there are four major sections discussing the topic and a conclusion to summarize the outcome and give some final opinions about the topic. Second‚ the authors use graphs and tables to support their points. This helps the audience to understand the author’s ideas. Third‚ the authors provide a strong conclusion that states the outcome of the research and also gives some directions for the future research on this specific
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up to depth 2. SEARCH STRATEGIES Q1. A. Show that DFS generates about O(bm) nodes in the search tree. B. Explain why DFS requires less memory than BFS. Q2. A. Starting from “a”‚ find the goal “e” using DFS with tree-search algorithm‚ and then with graph-search algorithm. d a c b e Page 2 of 2 You have to show: 1. 2. 3. 4. 5. 6. The search tree. The order in which nodes will be visited. The frontier at each step. The explored list The solution path. The frontier after the search is terminated
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or node clustering‚ may significantly alter key graph properties. In this paper‚ we define a k-degree-l-diversity anonymity model that considers the protection of structural information as well as sensitive labels of individuals. We further propose a novel anonymization methodology based on adding noise nodes. We develop a new algorithm by adding noise nodes into the original graph with the consideration of introducing the least distortion to graph properties. Most importantly‚ we provide a rigorous
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stiff the spring is. Using the equation Fs=-kx or‚ Fs=mg=kx; where Fs is the force of the spring‚ mg represents mass times gravity‚ and kx is the spring constant times the distance‚ we can mathematically isolate for the spring constant k. We can also graph the data collected and the slope of the line will reflect the spring constant. In the second part of the lab we used the equation T=2πmk‚ where T is the period of the spring. After calculating and graphing the data the x-intercept represented k‚ the
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STIN1013 INTRODUCTION TO ARTIFICIAL INTELLIGENCE Semester February Session 2012/2013 (A122) ASSIGNMENT_4 PROBLEM SOLVING AND SEARCHING Total marks: Deadline: Terms and Condition: 10 27th May 2013 1. Submission This is a group assignment. Each group must submit only ONE (1) answer script. Answers must be in computer-typed form; it only needs to be stapled on its top left without any plastic cover on it. 2. Assessment Assessment will be based on the submitted script. All members of the group will
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. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1 1 2 3 3 3 4 2 Graphs 2.1 Breadth First Search . . . . . . . . . . . . . . . 2.2 Depth First Search . . . . . . . . . . . . . . . . 2.2.1 Topological Sorting . . . . . . . . . . . . 2.2.2 Strongly Connected Components . . . . 2.2.3 Cut Point . . . . . . . . . . . . .
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with 15 terminals and connected to the current to test the ethernet load and delay with the new environment. The following is a graph representing the ethernet delay or traffic. The Blue Line represents the delay after the company has added 15 terminals on the second floor. The redline represents the current delay with 30 machines. As we can see from the above graph‚ the ethernet delay is increased at startup which would be expected because of the 50% terminal addition. After the initial workload
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weights of things using this balance‚ weigh a sheet of graph paper on a gram balance. Count the number of squares in the sheet‚ and divide the weight by the number of squares to obtain the weight of one square. Cut out one square and place it in the pan of the soda straw balance. Set up a tongue depressor next to the tip of the balance and record the positions of the tip of the balance without the square of graph paper and with the square of graph paper. Divide the space between these two positions
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traffic load on the most utilized link‚ we develop a model to optimize the end-to-end delay – present a heuristic algorithm to obtain the nearoptimal weight configuration. 3 Problem Formulation • The network is represented by a connected graph G(V‚E) with node set V and directed edge set E. Let’s denote the notations as follows: • Link delay • Path delay 4 Problem Formulation • Since optimizing the delay of path with higher traffic load would give us more performance
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