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Data Structure and Algorithms Project
Graph Shortest Path: Dijkstra Algorithm
1. You are to prepare a presentation slides to explain finding shortest path in a graph using Dijkstra Algorithm.
2. Tasks:
a. Introduce the algorithm (e.g. history, background, day-to-day application of the algorithm etc.)
b. With an example of a graph, show how Dijkstra algorithm is use to find shortest path in a graph (i.e. step-by-step).
c. Write your explanation in simple English and easy to understand.
Determine the minimum number of nodes expanded and storage required for BFS and DFS? (Hint: this question asks about the best case performance of BFS and DFS).
Draw the recursive process of Quicksort and Mergesort for sorting the sequence {5, 1, 2, 9, 7}. You will get a recursion tree for Quicksort and Mergesort respectively. What are their depths?
Katt wishes you to create an algorithm that, given a string X, determines efficiently how many ways X can be broken up into sequence of words.
Assume you are the Systems Analyst at a producing corporation in Seattle, WA. A Systems Analyst in your company's New York office sends you a trace file to examine.
Draw the hierarchy chart and then plan the logic for a program for the sales manager of The Couch Potato Furniture Company. The manager needs a program to determine the profit on any item sold
You may describe your algorithm using pseudo-code, but you must describe youralgorithm in English. What is the time complexity of your algorithm?
Give an initial configuration for Algorithm 7. 7 for which the algorithm actually requires llog NJ + 1 rounds. Determine the set ECR (as defined before Lemma 7. 1 0) for the Chang-Roberts algorithm.
nbspa stack evaluating the postfix expression lrm using linked list implementationthis step will use the queue
Try both hierarchical and k-means clustering, and then choose one of two methods to find some meaningful clusters of whiskeys that can help business decisions makers gain insights from the Whiskey dataset.
They alternate: dark, light, dark, light, and so on. You want to get all the dark disks to the right-hand end, and all the light disks to the left-hand end.
A certain hard disk has 480 cylinders, sixteen tracks, and thirty-two sectors of 512 bytes each. It spins at 4800 revolutions per minute, and has an adjacent cylinder seek time of eighty msec, and a max seek time of onde hundred msec.
Based on your analysis, what would be the most appropriate implementation of the three (a binary search tree, ordered vector, or unordered vector) for the given scenario? Explain your answer.
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