Task: Design an algorithm to read the bus rapid transit system routes list and print the number of tickets we need to purchase if we want to visit all places minimal twice. The complexity of the algorithm must be O(V+E). V is the number of places. E-> is the number of transits. PS: Use Tarjan's or Kosaraju's strongly connected component algorithm.

Task: Design an algorithm to read the bus rapid transit system routes list and print the number of tickets we need to purchase if we want to visit all places minimal twice. The complexity of the algorithm must be O(V+E). V is the number of places. E-> is the number of transits. PS: Use Tarjan's or Kosaraju's strongly connected component algorithm.

C++ Programming: From Problem Analysis to Program Design

8th Edition

ISBN:9781337102087

Author:D. S. Malik

Publisher:D. S. Malik

Chapter15: Recursion

Section: Chapter Questions

Problem 6PE

See similar textbooks

Similar questions

Course: Algorithm Project: We will use the defintion of of n-Queens Problem from the chapter Backtracking. In this project you need to describe Problem and Algorithm and Indicate input and output clearly. Analyze and prove the time complexity of your algorithm. Implement the algorithm using backtracking(including writing testing case).illustrate key functions with comments indicating: What it does, what each parameter is used for, how it handles errors etc. Indicate the testing scenarios and testing the results in a clear way. Make sure source is commented appropriately and structured well.
Question 2 You are doing the Tour de France and you are given a map with all the n places where you can refill your water bottles. Your bottles fit 2 liters of water with which are enough for m kilometres. Your goal is to stop as few times as possible to refill your bottles, since you care about a good time for the Tour de France. Design an efficient algorithm using dynamic programming, prove its correctness and analysis its run time. Give the one-dimensional array A. And the time complexity of filling your array
Design a top-down algorithm (based on dynamic programming and recursion; i.e. memory function) for checking the existence of a winning strategy for the “Rocks” game. Hints: • Give it the name: RocksMF(n,m) where n,m are the number of rocks on the two piles • Use recursion to call the algorithm itself to solve smaller subproblems • Use a global variable for the two-dimensional table
Nuts and bolts You are given a collection of n bolts of different widths and n corresponding nuts. You are allowed to try a nut and bolt together, from which you can determine whether the nut is larger than the bolt, smaller than the bolt, or matches the bolt exactly. However, there is no way to compare two nuts together or two bolts together. The problem is to match each bolt to its nut. Design an algorithm for this problem with average-case efficiency in (n log n).
Weighted Intervals Problem EXAMPLE:Suppose we have the following weighted intervals. start finish weight 11 14 4 10 13 5 9 11 5 11 14 3 8 9 2 To solve the problem, we start out by sorting the intervals by finish time. This gives us the following. start finish weight 8 9 2 9 11 5 10 13 5 11 14 4 11 14 3 Next we calculate the p-values. P(j) = k where interval k is the last interval prior to interval j in the list below which does not conflict with interval j, or P(j) = 0 if all intervals prior to interval j conflict with it. # start finish weight P 1 8 9 2 0 2 9 11 5 1 3 10 13 5 1 4 11 14 3 2 5 11 14 4 2 Finally, we use the formula OPT(j) = max{OPT(j-1), weight(j)+ OPT(P(j))} to fill in the OPT value for each j. (The…
Artificial Intelligence (Part - 2) ==================== The Towers of Hanoi is a famous problem for studying recursion incomputer science and searching in artificial intelligence. We start with N discs of varying sizes on a peg (stacked in order according to size), and two empty pegs. We are allowed to move a disc from one peg to another, but we are never allowed to move a larger disc on top of a smaller disc. The goal is to move all the discs to the rightmost peg (see figure). To solve the problem by using search methods, we need first formulate the problem. Supposing there are K pegs and N disk. (2) What is the size of the state space?
Artificial Intelligence (Part - 1) ==================== The Towers of Hanoi is a famous problem for studying recursion in computer science and searching in artificial intelligence. We start with N discs of varying sizes on a peg (stacked in order according to size), and two empty pegs. We are allowed to move a disc from one peg to another, but we are never allowed to move a larger disc on top of a smaller disc. The goal is to move all the discs to the rightmost peg (see figure). To solve the problem by using search methods, we need first formulate the problem. Supposing there are K pegs and N disk. (1) Propose a state representation for the problem?
CodeW For fun X C Solved https://codeworkou... 臺亂 CodeWorkout X272: Recursion Programming Exercise: Is Reverse For function isReverse, write the two missing base case conditions. Given two strings, this function returns true if the two strings are identical, but are in reverse order. Otherwise it returns false. For example, if the inputs are "tac" and "cat", then the function should return true. Examples: isReverse("tac", "cat") -> true Your Answer: 1 public boolean isReverse(String s1, String s2) { 2. if > 3. 4. else if > return true; return false; 5. 6. else { String s1first = String s2last return s1first.equals (s2last) && 51. substring(0, 1); s2, substring(s2.length() 1); 7. 8. 6. isReverse(s1.substring(1), s2.substring(0, s2.length() 1)); { 12} 1:11AM 50°F Clear 12/4/2021
Given the following array of numbers: 8 2 3 9 10 1 4 6 7 5 Show what the array looks like after each iteration of the following sorting algorithms: Bubble Selection Insertion Mergesort Only show the array contents with each algorithm. You do not need to show function call instances if recursion is used or write any code. Just show the array at key iterations of the algorithm. You can use your own words to describe them as well for more detail (but do not write any code). Show what the array looks like after each recursive iteration of the Quicksort algorithm.
Personal project Q5. This question is concerned with the design and analysis of recursive algorithms. You are given a problem statement as shown below. This problem is concerned with performing calculations on a sequence A of real numbers. Whilst this could be done using a conventional loop-based approach, your answer must be developed using a recursive algorithm. No marks will be given if your answer uses loops. FindAverageAndProduct(a1, ...., an) such that n > 1 Input: A sequence of real values A = (a1, ...., an) Output:, A 2-tuple (average, product) containing the average (average) of all the values and the product (product) of all the values of the elements in A. Your recursive algorithm should use a single recursive structure to find the average and product values, and should not use two separate instances of a recursive design. You should not employ any global variables. (a) Produce a pseudo code design for a recursive algorithm to solve this problem. (b) Draw a call-stack…
5. Given # > 3 points P₁ = (x₁, y₁), …….‚ P₂ = (x₂‹ Yn) in the coordinate plane, design an algorithm to check whether all the points lie within a triangle with its vertices at three of the points given. (You can either design an algorithm from scratch or reduce the problem to another one with a known algorithm.)
Part A: Maze exploration using recursive function (30%)A Maze is given as N*N binary matrix of blocks where source block is the upper leftmost block i.e., maze[0][0] and destination block is lower rightmost block i.e., maze[N1][N-1]. A rat starts from source and has to reach the destination. The rat can move infour directions: left, right, up or down.In the maze matrix, 0 means the block is a dead end and 1 means the block can beused in the path from source to destination. Backtracking is an algorithmic techniquefor solving problems recursively by trying to build a solution incrementally in mazeexploration.Suggested Approach: Form a recursive function, which will follow a pathand check if the path reaches the destination or not. If the path does notreach the destination then backtrack and try other paths.Algorithm:1. Create a solution matrix, initially filled with 0’s.2. Create a recursive function, which takes initial matrix, output matrixand position of rat (i, j).3. if the position…