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Given an array of integers with nnn elements, where nnn is 1 0 0 0 , apply a divide - and - conquer algorithm to

Given an array of integers with nnn elements, where nnn is 1000, apply a divide-and-conquer algorithm to sort the array. Analyze the time complexity of the sorting algorithm and calculate the number of comparisons required in the worst case. A binary search tree (BST) has 50 nodes with a maximum height of 10. If the BST is balanced, determine the maximum number of nodes that could be in the left and right subtrees of the root. Consider a directed acyclic graph (DAG) with 20 vertices and 40 edges. Using Kahns algorithm, calculate the total number of possible topological sorts for this graph. Given a graph with 100 nodes and a maximum degree of 20, estimate the space complexity of representing this graph using an adjacency list. A hash table uses chaining to resolve collisions, with 200 slots and an average chain length of 3 elements. Determine the load factor of the hash table and the average number of comparisons required to find an element. Implement the Dijkstras shortest path algorithm on a weighted graph with 100 nodes and 500 edges. Calculate the time complexity of the algorithm using a priority queue implemented as a binary heap. A quicksort algorithm is applied to an array of 500 elements with a worst-case partitioning strategy. Determine the time complexity of the quicksort algorithm and the maximum number of recursive calls it will make. A dynamic programming algorithm is used to solve a knapsack problem with 50 items and a maximum capacity of 200 units. Calculate the time complexity of the algorithm and the maximum number of states in the DP table. Given a set of 15 tasks with various start and end times, use the greedy algorithm to determine the maximum number of non-overlapping tasks that can be scheduled. A binary heap is used to implement a priority queue with 300 elements. Calculate the time complexity of inserting a new element and deleting the minimum element from the heap. A breadth-first search (BFS) is performed on a graph with 150 nodes and 600 edges. Determine the space complexity of the BFS algorithm in terms of the number of nodes and edges. A graph coloring problem needs to be solved for a graph with 25 vertices and 50 edges using a greedy coloring algorithm. Estimate the number of colors required to color the graph such that no two adjacent vertices share the same color. Implement a depth-first search (DFS) on a graph with 40 vertices and 80 edges. Calculate the time complexity of the DFS algorithm and the maximum depth of recursion required.

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