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Computer science Given an array of 1 3 , 0 0 0 integers, where the values range from 1 to 1 1 0 , 0

Computer science Given an array of 13,000 integers, where the values range from 1 to 110,000, use a bucket sort algorithm to sort the array. Determine the time complexity of bucket sort and the space complexity for storing the bucket array. A binary search tree (BST) with 500 nodes has a maximum height of 50. If the BST is unbalanced, calculate the number of nodes in the longest path from the root to a leaf. For a graph with 120 vertices and 360 edges, calculate the number of Hamiltonian paths using a backtracking approach, assuming the graph is Hamiltonian. Given a hash table with 6000 slots and a load factor of 0.5, estimate the number of elements in the hash table and the average number of elements per slot. A quicksort algorithm is applied to an array of 13,000 elements with a median-of-three pivot strategy. Determine the average number of comparisons made by the quicksort algorithm and its expected time complexity. A dynamic programming approach is used to solve the longest common subsequence problem for two sequences, each of length 160. Calculate the time complexity of the algorithm and the size of the DP table. For a graph with 150 vertices and 450 edges, use Kruskals algorithm to find the minimum spanning tree. Calculate the time complexity of the algorithm and the number of edges in the resulting spanning tree. A binary heap is used to implement a priority queue with 2600 elements. Determine the time complexity for inserting a new element and removing the maximum element from the heap. Given a set of 110 tasks with start and end times, use the interval scheduling maximization algorithm to find the maximum number of non-overlapping tasks that can be scheduled. A depth-first search (DFS) is performed on a graph with 200 nodes and 700 edges. Calculate the space complexity of the DFS algorithm considering both the recursion stack and the adjacency list. For a network flow problem with 160 nodes and 480 edges, apply the Edmonds-Karp algorithm to find the maximum flow. Determine the time complexity of the Edmonds-Karp algorithm in terms of the number of nodes and edges. A set of 30 integers is sorted using heap sort. Calculate the number of comparisons performed by the heap sort algorithm and its time complexity. For a shortest path problem in a graph with 140 nodes and 420 edges, apply the Bellman-Ford algorithm to find the shortest path from a single source. Calculate the time complexity of the Bellman-Ford algorithm and the maximum number of iterations required.

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