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feat: add maximum circular subarray sum (#2242)
* Create maximum_circular_subarray.cpp * Delete maximum_circular_subarray.cpp * Create maximum_circular_subarray.cpp * Update maximum_circular_subarray.cpp Used the template provided. * updating DIRECTORY.md * Update maximum_circular_subarray.cpp * Update maximum_circular_subarray.cpp * Update maximum_circular_subarray.cpp * Update maximum_circular_subarray.cpp * Update maximum_circular_subarray.cpp * Update dynamic_programming/maximum_circular_subarray.cpp Co-authored-by: David Leal <halfpacho@gmail.com> * Update maximum_circular_subarray.cpp * Update dynamic_programming/maximum_circular_subarray.cpp Co-authored-by: David Leal <halfpacho@gmail.com> * Update dynamic_programming/maximum_circular_subarray.cpp Co-authored-by: David Leal <halfpacho@gmail.com> * Update dynamic_programming/maximum_circular_subarray.cpp Co-authored-by: David Leal <halfpacho@gmail.com> * Update dynamic_programming/maximum_circular_subarray.cpp Co-authored-by: David Leal <halfpacho@gmail.com> * Update dynamic_programming/maximum_circular_subarray.cpp Co-authored-by: David Leal <halfpacho@gmail.com> * Update dynamic_programming/maximum_circular_subarray.cpp Co-authored-by: David Leal <halfpacho@gmail.com> * Update maximum_circular_subarray.cpp Fixed the comments according to @krishnacx * chore: apply suggestions from code review --------- Co-authored-by: Suman Mondal <94859440+sumanarlert@users.noreply.github.com> Co-authored-by: github-actions[bot] <github-actions@users.noreply.github.com> Co-authored-by: David Leal <halfpacho@gmail.com>
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* [Longest Increasing Subsequence (Nlogn)](https://github.com/TheAlgorithms/C-Plus-Plus/blob/HEAD/dynamic_programming/longest_increasing_subsequence_(nlogn).cpp)
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* [Longest Palindromic Subsequence](https://github.com/TheAlgorithms/C-Plus-Plus/blob/HEAD/dynamic_programming/longest_palindromic_subsequence.cpp)
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* [Matrix Chain Multiplication](https://github.com/TheAlgorithms/C-Plus-Plus/blob/HEAD/dynamic_programming/matrix_chain_multiplication.cpp)
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* [Maximum Circular Subarray](https://github.com/TheAlgorithms/C-Plus-Plus/blob/HEAD/dynamic_programming/maximum_circular_subarray.cpp)
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* [Minimum Edit Distance](https://github.com/TheAlgorithms/C-Plus-Plus/blob/HEAD/dynamic_programming/minimum_edit_distance.cpp)
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* [Palindrome Partitioning](https://github.com/TheAlgorithms/C-Plus-Plus/blob/HEAD/dynamic_programming/palindrome_partitioning.cpp)
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* [Partition Problem](https://github.com/TheAlgorithms/C-Plus-Plus/blob/HEAD/dynamic_programming/partition_problem.cpp)
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dynamic_programming/maximum_circular_subarray.cpp
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dynamic_programming/maximum_circular_subarray.cpp
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/**
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* @file
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* @brief C++ program for maximum contiguous circular sum problem using [Kadane's Algorithm](https://en.wikipedia.org/wiki/Maximum_subarray_problem)
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* @details
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* The idea is to modify Kadane’s algorithm to find a minimum contiguous subarray sum and the maximum contiguous subarray sum,
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* then check for the maximum value between the max_value and the value left after subtracting min_value from the total sum.
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* For more information, check [Geeks For Geeks](https://www.geeksforgeeks.org/maximum-contiguous-circular-sum/) explanation page.
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*/
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#include <cassert> /// for assert
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#include <iostream> /// for IO operations
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#include <vector> /// for std::vector
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/**
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* @namespace dynamic_programming
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* @brief Dynamic Programming algorithms
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*/
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namespace dynamic_programming {
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/**
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* @brief returns the maximum contiguous circular sum of an array
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*
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* @param arr is the array/vector
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* @return int which is the maximum sum
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*/
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int maxCircularSum(std::vector<int>& arr)
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{
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// Edge Case
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if (arr.size() == 1)
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return arr[0];
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// Sum variable which stores total sum of the array.
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int sum = 0;
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for (int i = 0; i < arr.size(); i++) {
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sum += arr[i];
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}
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// Every variable stores first value of the array.
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int current_max = arr[0], max_so_far = arr[0], current_min = arr[0], min_so_far = arr[0];
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// Concept of Kadane's Algorithm
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for (int i = 1; i < arr.size(); i++) {
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// Kadane's Algorithm to find Maximum subarray sum.
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current_max = std::max(current_max + arr[i], arr[i]);
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max_so_far = std::max(max_so_far, current_max);
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// Kadane's Algorithm to find Minimum subarray sum.
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current_min = std::min(current_min + arr[i], arr[i]);
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min_so_far = std::min(min_so_far, current_min);
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}
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if (min_so_far == sum)
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return max_so_far;
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// Return the maximum value
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return std::max(max_so_far, sum - min_so_far);
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}
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} // namespace dynamic_programming
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/**
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* @brief Self-test implementation
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* @returns void
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*/
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static void test() {
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// Description of the test
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// Input: arr[] = {8, -8, 9, -9, 10, -11, 12}
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// Output: 22
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// Explanation: Subarray 12, 8, -8, 9, -9, 10 gives the maximum sum, that is 22.
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int n = 7; // size of the array
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std::vector<int> arr = {8, -8, 9, -9, 10, -11, 12};
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assert(dynamic_programming::maxCircularSum(arr) == 22); // this ensures that the algorithm works as expected
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arr = {8, -8, 10, -9, 10, -11, 12};
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assert(dynamic_programming::maxCircularSum(arr) == 23);
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std::cout << "All tests have successfully passed!\n";
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}
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/**
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* @brief Main function
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* @param argc commandline argument count (ignored)
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* @param argv commandline array of arguments (ignored)
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* @returns 0 on exit
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*/
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int main(int argc, char *argv[]) {
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test(); // run self-test implementations
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return 0;
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}
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