Compare uninformed search and informed search in terms of completeness, optimality, time complexity, and space complexity.

Compare the time complexities of O(n log n) and O(n2). For an input size of n = 16 and n = 64, calculate the approximate number of operations assuming 1 operation per unit of complexity.

Write down the differences between the two algorithms (Name of a) and b)→ what problems the algo solved→ specify their time and space complexity)

How to compute algorithm complexity? Analysis the complexity of Binary Search Algorithm for the following input and search item 13. [5, 8, 11, 13, 29, 35, 36, 38]

Illustrate the operation of merge sort on the array A<41, 52, 26, 38, 57, 9, 49 >. Explain Worst case, Best case, and Average Case complexity of Insertion sort.

Write down the algorithm for Insertion Sort and analyze its time complexity in best, average, and worst cases.

What do you know about algorithm complexity? Analyze the time complexity of the following algorithm:

Analysis the complexity of Quick Sort Algorithm for the following input. 

Implement a queue using two stacks. Analyze the time complexity of enqueue and dequeue operations.

Write down the advantage of IDS over BFS and DFS. Also, shows times and space complexity among them.