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- Define Dijkstra's, Prim's and Kruskal's algorithms. and state the reason why that algorithm has that complexity. Give the reason or variables / cases that affect the performance.arrow_forwardDiscuss at length the measurement of the time and space consumed by an algorithm in order to determine its efficiency.arrow_forwardThe Apriori algorithm is wasteful. Please suggest three ways in which we may enhance it.arrow_forward
- Explain the five distinctions between Prim's and Kruskal's algorithms.arrow_forwardThe Apriori algorithm is a waste of time. Can you think of three things we could do to improve it?arrow_forwardImplement the Boyer Moore algorithm from scratch. Test it and plot c against n and m where n is the size of the text and m is the size of the pattern, for different values of n and m. Implement the Z algorithm from scratch. Test it and plot c against n and m where n is the size of the text and m is the size of the pattern, for different values of n and m.arrow_forward
- The performance of a binary searching method is logarithmic. O(logn)finding a particular item from a list of 1,000 items takes three seconds. How long do you think it will take to search through a list with 100,000,000 items? How did you come to your conclusion?arrow_forwardAlgorithmic Performance, as you are aware, consists (mainly) of 2 dimensions: Time and Space. From a technical perspective, discuss the following: • How would you go about estimating the time required for an algorithm's efficiency (i.e. time to complete in terms of its potential complexity)? What techniques can you use? Give an example of how to measure it.arrow_forwardExists a significant disadvantage to depending on algorithms?arrow_forward
- Consider the following algorithm.and Answer the questions a-e about this algorithm. a. What does this algorithm compute? b. What is its basic operation? c. How many times is the basic operation executed" d. What is the efficiency class of this algorithm? e. Suggest an improvement, or a better algorithm altogether, and in-dicate its efficiency class. If you cannot do it, try to prove that, in fact, it cannot be done.arrow_forwardAnalyze another algorithm under Divide and Conquer. In your discussion, include the following: 1. Introduction about the algorithm. 2. The pseudocode 3. Explanation of its complexityarrow_forwardWhich assertion is false? CPU cycles are needed for time's complexity. Less memory is needed for space's complexity. Time complexity is measured by operations. An algorithm's worst-case scenario is the most operations.arrow_forward
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