Design an algorithm in pseudo code to rearrange elements of a given array of n real numbers so that all its negative elements precede all its positive elements. Your algorithm should be No worse than Θ(n). Sample input: A = {-1, 4, -4, 3, 5, -2, 7, 8, 9, -10}

You want to design an algorithm, called minMax(A,p,r), that takes an array of integers and indexes of the first and last elements, and returns the minimum and maximum values in that range. Now write the pseudo code of a divide and conquer (and therefore, recursive) algorithm with the same time complexity (Θ(n)). You can assume that p ≤ r. Also, in your code, you can return two numbers by returning a pair, e.g. “return (a, b)”, and can save the output in a similar way, e.g. “(a, b) = minMax(parameters)”. (Short answer please)

Assume that you are given an array containing n integer numbers from the set {0, 1, . . . , k} for some k ≤ n. Design an algorithm to produce a sorted array containing those n numbers in non-decreasing order in time O(n). Present the pseudocode for the algorithm and provide a justification for its running time.

Given an array arr[] of N non-negative integers representing the height of blocks. If width of each block is 1, compute how much water can be trapped between the blocks during the rainy season. Example 1: Input: N = 6 arr[] Output: 10 = {3,0,0,2,0,4}