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1. Top results related to divide & conquer algorithm

   • Divide-and-conquer algorithm for class

     Top Answer

     Answered Feb 02, 2021 · 1 votes

     Since all the arrays are sorted, you just need to compare and copy them into a single array, which can be done in O(kn).

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     1/5

   • Divide and Conquer Algorithm Running Time

     Top Answer

     Answered Dec 19, 2013 · 3 votes

     At each recursion index is incremented by 1. Also, it gets divided into three recursive calls.

     Hence the worst case time complexity shall be O(3^N) where N is the size of the vector.

     You can view the recursive calls as a tree where each node gets branched out to three nodes at each step.

     1 1 1 1 111 111 111 ..

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     2/5

   • Divide and Conquer algorithm in C++

     Top Answer

     Answered Jan 26, 2017 · 0 votes

     Got accepted (finally) using two binary search (each for lower bound, and upper bound) with this code:

     #include<bits/stdc++.h>using namespace std;-long long n,m,i,l,r,mid1,mid2,ans,tmp,cnt,haha,k;long long ar[26214400];long long func(long long x){ haha = 0; for (k = 0; k < n; k++) haha += x/ar[k]; return haha;}int main(){ cin >> n >> m; for(i = 0; i < n; i++) cin >> ar[i]; sort(ar,ar+n); l = ar[0]; r = ar[0]*m; mid1 = (l+r)/2; tmp = func(mid1); while (l < r){ mid1 = (l+r)/2; tmp = func(mid1); if (tmp < m) l = mid1+1; else if (tmp > m) r = mid1-1; else r = mid1-1; } mid1 = l; //lower bound l = ar[0]; r = ar[0]*m; mid2 = (l+r)/2; tmp = func(mid2); while (l < r){ mid2 = (l+r)/2; tmp = func(mid2); if (tmp < m) l = mid2+1; else if (tmp > m) r = mid2-1; else l = mid2+1; } mid2 = r; //upper bound while (mid1 <= mid2 and func(mid1) != m) mid1 += 1; while (mid2 >= mid1 and func(mid2) != m) mid2 -= 1; ans = mid2-mid1+1; cout << ans << endl;}

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     3/5

   • Divide and Conquer Algorithm

     Divide and Conquer algorithm is a problem-solving strategy that involves breaking down a complex problem into smaller, more manageable parts, solving each part individually, and then combining the solutions to solve the original problem. It is a widely used algorithmic technique in computer science and mathematics.

     Example: In the Merge Sort algorithm, the “Divide and Conquer” strategy is used to sort a list of elements. Below image illustrate the dividing and merging states to sort the array using Merge Sort.

     <img alt="Divide-and-Conquer-banner">

     Table of Content

     • What is Divide and Conquer?
     • Stages of Divide and Conquer
     • Applications of Divide and Conquer
     • Basics of Divide and Conquer
     • Standard Algorithms on Divide and Conquer
     • Binary Search based problems
     • Practice problems on Divide and Conquer

     What is Divide and Conquer Algorithm?

     Divide and Conquer is a problem-solving technique that involves breaking a larger problem into subproblems, solving the subproblems independently and combining the solutions of those subproblems...

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     4/5

   • Divide and Conquer algorithm in java

     Top Answer

     Answered Nov 09, 2013 · 1 votes

     Apart from the anomalies already pointed out,

     In your code you do not check if v[m] = v[m+1] = 0. This will miss out some possibilities when the array is partitioned between 2 consecutive zeroes.

     Change your if statement to:

     if ( (m < v.length - 1 ) && (v[m] == v[m+1]) && (v[m] == 0) ) -

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     5/5

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2. www.geeksforgeeks.org › divide-and-conquerDivide and Conquer Algorithm - GeeksforGeeks

   www.geeksforgeeks.org › divide-and-conquer

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   Apr 30, 2024 · Divide and Conquer algorithm is a problem-solving strategy that involves breaking down a complex problem into smaller, more manageable parts, solving each part individually, and then combining the solutions to solve the original problem.

   • Minimum Steps to Delete a String by Deleting Substring Comprising of Same Characters

     Given string str.You are allowed to delete only some...

   • Convex Hull Using Divide and Conquer Algorithm

     Greedy algorithm and divide and conquer algorithm are two...

   • Find The Missing Number in Arithmetic Progression

     Time Complexity: O(log n) Auxiliary Space: O(1) Iterative:...

   • Merge Sort

     Pre-requisite: Merge Sort, Insertion Sort Merge Sort: is an...

   • Check for Majority Element in a Sorted Array

     Some practice problems on Divide and Conquer algorithm....

   • Median of Two Sorted Arrays

     Algorithm: We can find the kth element by using binary...

   • Maximum and Minimum of an Array Using Minimum Number of Comparisons

     Time complexity: O(n log n), where n is the number of...

   • Strassen's Matrix Multiplication

     Greedy algorithm, divide and conquer algorithm, and dynamic...

   • Closest Pair of Points

     Divide and Conquer algorithm is a problem-solving strategy...

   • Binary Search

     Karatsuba Algorithm; Divide and Conquer Optimization; ......

3. www.programiz.com › dsa › divide-and-conquerDivide and Conquer Algorithm - Programiz

   www.programiz.com › dsa › divide-and-conquer

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   A divide and conquer algorithm is a strategy of solving a large problem by breaking the problem it into smaller sub-problems, solving the sub-problems and combining them to get the desired output. In this tutorial, you will understand the working of divide and conquer approach with an example.

4. en.wikipedia.org › wiki › Divide-and-conquer_algorithmDivide-and-conquer algorithm - Wikipedia

   en.wikipedia.org › wiki › Divide-and-conquer_algorithm

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   Divide-and-conquer algorithm. In computer science, divide and conquer is an algorithm design paradigm. A divide-and-conquer algorithm recursively breaks down a problem into two or more sub-problems of the same or related type, until these become simple enough to be solved directly.

5. www.geeksforgeeks.org › introduction-to-divide-andIntroduction to Divide and Conquer Algorithm - GeeksforGeeks

   www.geeksforgeeks.org › introduction-to-divide-and

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   May 1, 2024 · Divide and Conquer Algorithm is a problem-solving technique used to solve problems by dividing the main problem into subproblems, solving them individually and then merging them to find solution to the original problem. In this article, we are going to discuss how Divide and Conquer Algorithm is helpful and how we can use it to solve problems.

6. www.khanacademy.org › computing › computer-scienceDivide and conquer algorithms (article) | Khan Academy

   www.khanacademy.org › computing › computer-science

   • Cached

   You should think of a divide-and-conquer algorithm as having three parts: Divide the problem into a number of subproblems that are smaller instances of the same problem. Conquer the subproblems by solving them recursively. If they are small enough, solve the subproblems as base cases.

7. www.freecodecamp.org › news › divide-and-conquerDivide and Conquer Algorithm Meaning: Explained with Examples

   www.freecodecamp.org › news › divide-and-conquer

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   Nov 26, 2019 · Divide and Conquer is an algorithmic paradigm (sometimes mistakenly called "Divide and Concur" - a funny and apt name), similar to Greedy and Dynamic Programming. A typical Divide and Conquer algorithm solves a problem using the following three steps.

8. People also ask

   How do you solve a divide-and-conquer algorithm?

   • You should think of a divide-and-conquer algorithm as having three parts: Divide the problem into a number of subproblems that are smaller instances of the same problem. Conquer the subproblems by solving them recursively. If they are small enough, solve the subproblems as base cases.

   Divide and conquer algorithms (article) | Khan Academy

   www.khanacademy.org/computing/computer-science/algorithms/merge-sort/a/divide-and-conquer-algorithms

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   What are the characteristics of divide and conquer algorithm?

   • The characteristics of Divide and Conquer Algorithm are: Dividing the Problem: The first step is to break the problem into smaller, more manageable subproblems. This division can be done recursively until the subproblems become simple enough to solve directly.

   Introduction to Divide and Conquer Algorithm - GeeksforGeeks

   www.geeksforgeeks.org/introduction-to-divide-and-conquer-algorithm-data-structure-and-algorithm-tutorials/

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   How do you solve a recursive problem with a divide-and-conquer algorithm?

   • Because divide-and-conquer solves subproblems recursively, each subproblem must be smaller than the original problem, and there must be a base case for subproblems. You should think of a divide-and-conquer algorithm as having three parts: Divide the problem into a number of subproblems that are smaller instances of the same problem.

   Divide and conquer algorithms (article) | Khan Academy

   www.khanacademy.org/computing/computer-science/algorithms/merge-sort/a/divide-and-conquer-algorithms

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   How do you solve a problem using divide and conquer?

   • The main steps are: Divide: Break the problem into smaller subproblems. Conquer: Solve the subproblems recursively. Combine: Merge or combine the solutions of the subproblems to obtain the solution to the original problem. 3. What are some examples of problems solved using Divide and Conquer?

   Introduction to Divide and Conquer Algorithm - GeeksforGeeks

   www.geeksforgeeks.org/introduction-to-divide-and-conquer-algorithm-data-structure-and-algorithm-tutorials/

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9. people.eecs.berkeley.edu › ~vazirani › algorithmsDivide-and-conquer algorithms - University of California ...

   people.eecs.berkeley.edu › ~vazirani › algorithms

   Divide-and-conquer algorithms. The divide-and-conquer strategy solves a problem by: Breaking it into subproblems that are themselves smaller instances of the same type of problem. Recursively solving these subproblems. Appropriately combining their answers.