Prim's MSP algorithm is an example of following type of algorithm Divide and Conquer Dynamic Programming Greedy Other Binary search algorithm is an example of following type of algorithm Divide and Conquer Other Greedy O Dynamic Programming
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- Which of the following is true of algorithms? A. Algorithms may have an infinite set of instructions B. Algorithms must be expressed using a programming language C. Every algorithm can be constructed using combinations of sequencing, selection, and iteration D. Every problem can be solved with an algorithmAnswer the following questions given the figure (topic is about the A* algorithm):Legend:P=Player/Starting pointO=ObstacleG=Goal Given the figure, do the following:1. Mark each cell with its heuristic function h, using the "as the bird flies" distance. Use integers only.2. Show how the player (P) will reach the goal (G). For every cell planned for the player movement, show the updates f,g,h of its non-obstacle neighbor cells.a. List the different sorting algorithms that you learned and describe one of these algorithms.What is the time complexity for each of them (best case, worst case, and the average case).b. Choose the suitable sorting algorithm(s) for the following case:▪ The input elements are small.▪ The input elements are too large.
- Artificial Intelligence - Special Cases of Local Search Algorithms 1. Give the name of the algorithm that results from the following special cases: genetic algorithm with population size N = 1 (called as “self-mate”) genetic search algorithm.An unknown searching algorithm took a second to find an item in a list of 250 entries, two seconds to find an item in a list of 2,500 entries, and three seconds to find an item in a list of 25,000 entries. Estimate its runtime in big-? terms. How did you arrive at your answer?2. Name the algorithms for the searching problem that you already know. Givea good succinct description of each algorithm in English. If you know no suchalgorithms, use this opportunity to design one.
- please try to understand the question and provide the correct answer i will give thumb up (like) if your answer is correct and suitable I NEED A VERY GOOD ANSWER AND GOOD EXPLAINITION....I ALREADY POSTED THIS QUESTION BUT NOW I MAKE EASY FOR IT PLZ HELP ME WITH THIS ASAP and please do not copy paste from geeksforgeeks SHOW all the types of algorithm classification Big O notation with appropriate diagram.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.Design an algorithm to read the bus rapid transit system routes list and print the number of tickets we need to purchase if we want to visit all places minimal twice. The complexity of the algorithm must be O(V+E). V is the number of places. E-> is the number of transits. PS: Use Tarjan’s or Kosaraju’s strongly connected component algorithm.
- What does computable mean? (May have more than one correct answer) A.) An algorithm is considered computable if it can be encoded as a program on a computer. B.) A problem is computable if an algorithm exists for solving it. C.) An algorithm is considered computable if it is the most efficient algorithm. D.) A problem is computable if a computer program exists for solving it.For this code answer the following ALGORITHM Mystery (n)S ← 0for i ← 1 to n doS ← S + i*iReturn S (a) What does the algorithm computes?(b) Write the running time for each line, and derive the exact time?(c) What is the basic operation?(d) What is the efficiency class of this algorithm?(e) Can we do better algorithm?Consider the following algorithm. What does this algorithm compute? What is its basic operation? How many times is the basic operation executed? What is the efficiency class of this algorithm? Suggest an improvement of the given algorithm, and indicate its efficiency class. If you cannot do it, try to prove that, in fact, it cannot be done.