Design an algorithm to solve the given problem:  You are given an integer array coins representing coins of different denominations and an integer amount representing a total amount of money. Return the number of combinations that make up that amount. If that amount of money cannot be made up by any combination of the coins, return 0. You may assume that you have an infinite number of each kind of coin. Task 1: Draw a decision tree and identify repeated sub-problems  Task 2: Design a DP algorithm to store repeated sub-problems  Task 3: Can this problem be solved using a different method, if so what is the time complexity of such algorithms, and can it be better than DP?  Input: amount = 7, coins = [1,2,5] Output: 6 Explanation: there are six ways to make up the amount: 7=5+2 7=5+1+1 7=2+2+2+1 7=2+2+1+1+1 7=2+1+1+1+1+1 7=1+1+1+1+1+1+1

Can you please also explain what are the differences between the two algorithms?

n-1 Geometric (n) = i=1 i=1 1 1 * n-1 П %3D Harmonic (n) = i=1 n Let's look at examples. If we use n = 4, the geometric progression would be 1 * 2 * 3 * 4 = 24, and the harmonic 1.1.1 1 progression would be 1* -= 0.04166. 2 3 4 24 Task #1 Tracing Recursive Methods 1. Copy the file Recursion.java (see Code Listing 16.1) from the Student Files or as directed by your instructor. 2. Run the program to confirm that the generated answer is correct. Modify the factorial method in the following ways: a. Add these lines above the first if statement: int temp; System.out.println ("Method call -- " + "calculating " "Factorial of: " + n); + Copyright © 2019 Pearson Education, Inc., Hoboken NJ b. Remove this line in the recursive section at the end of the method: return (factorial (n - 1) * n); c. Add these lines in the recursive section: temp = factorial (n - 1); System.out.println ("Factorial of: " (n - 1) + " is " temp); return (temp * n); 3. Rerun the program and note how the recursive calls…

There are various sorting algorithms available to sort data of different sizes. Three of these algorithms are Bubble sort, Shell sort, and Quicksort. In Python, write a program to generate random integer numbers of multiple sizes; 10000, 30000, 40000, 50000, and 70000, and find out which of these sorting algorithms perform the fastest sorting technique. Provide data to prove and support your findings or results by plotting a graph showing the time each takes to sort data of various sizes. It should be written in a single program. Write the code in python and also show the graphical result. Also do the proper identation of the code.