TheAlgorithms/C++
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All the algorithms implemented in C++
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tim_sort.cpp
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// C++ program to perform TimSort.
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#include <algorithm>
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#include <cassert>
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#include <iostream>
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#include <numeric>
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const
int
RUN = 32;
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// this function sorts array from left index to to right index which is of size
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// atmost RUN
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void
insertionSort(
int
arr[],
int
left,
int
right) {
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for
(
int
i = left + 1; i <= right; i++) {
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const
int
temp = arr[i];
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int
j = i - 1;
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while
(j >= left && arr[j] > temp) {
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arr[j + 1] = arr[j];
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j--;
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}
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arr[j + 1] = temp;
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}
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}
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// merge function merges the sorted runs
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void
merge
(
int
arr[],
int
l,
int
m,
int
r) {
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// original array is broken in two parts, left and right array
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const
int
len1 = m -
l
+ 1, len2 = r - m;
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int
*left =
new
int
[len1], *right =
new
int
[len2];
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for
(
int
i = 0; i < len1; i++) left[i] = arr[l + i];
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for
(
int
i = 0; i < len2; i++) right[i] = arr[m + 1 + i];
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int
i = 0;
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int
j = 0;
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int
k
=
l
;
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// after comparing, we merge those two array in larger sub array
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while
(i < len1 && j < len2) {
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if
(left[i] <= right[j]) {
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arr[
k
] = left[i];
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i++;
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}
else
{
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arr[
k
] = right[j];
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j++;
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}
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k
++;
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}
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// copy remaining elements of left, if any
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while
(i < len1) {
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arr[
k
] = left[i];
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k
++;
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i++;
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}
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// copy remaining element of right, if any
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while
(j < len2) {
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arr[
k
] = right[j];
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k
++;
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j++;
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}
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delete
[] left;
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delete
[] right;
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}
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// iterative Timsort function to sort the array[0...n-1] (similar to merge sort)
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void
timSort(
int
arr[],
int
n) {
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// Sort individual subarrays of size RUN
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for
(
int
i = 0; i < n; i += RUN)
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insertionSort(arr, i, std::min((i + 31), (n - 1)));
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// start merging from size RUN (or 32). It will merge to form size 64, then
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// 128, 256 and so on ....
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for
(
int
size = RUN; size < n; size = 2 * size) {
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// pick starting point of left sub array. We are going to merge
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// arr[left..left+size-1] and arr[left+size, left+2*size-1] After every
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// merge, we increase left by 2*size
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for
(
int
left = 0; left < n; left += 2 * size) {
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// find ending point of left sub array
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// mid+1 is starting point of right sub array
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const
int
mid = std::min((left + size - 1), (n - 1));
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const
int
right = std::min((left + 2 * size - 1), (n - 1));
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// merge sub array arr[left.....mid] & arr[mid+1....right]
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merge
(arr, left, mid, right);
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}
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}
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}
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// utility function to print the Array
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void
printArray
(
int
arr[],
int
n) {
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for
(
int
i = 0; i < n; i++) printf(
"%d "
, arr[i]);
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std::cout << std::endl;
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}
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void
tests
() {
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// Case: array of length 65
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constexpr
int
N = 65;
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int
arr[N];
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std::iota(arr, arr + N, 0);
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std::reverse(arr, arr + N);
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assert(!std::is_sorted(arr, arr + N));
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timSort(arr, N);
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assert(std::is_sorted(arr, arr + N));
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}
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// Driver program to test above function
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int
main
() {
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tests
();
// run self test implementations
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int
arr[] = {5, 21, 7, 23, 19};
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const
int
n =
sizeof
(arr) /
sizeof
(arr[0]);
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printf(
"Given Array is\n"
);
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printArray
(arr, n);
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timSort(arr, n);
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printf(
"After Sorting Array is\n"
);
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printArray
(arr, n);
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return
0;
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}
numerical_methods::simpson_method::k
double k(double x)
Another test function.
Definition
composite_simpson_rule.cpp:117
numerical_methods::simpson_method::l
double l(double x)
Another test function.
Definition
composite_simpson_rule.cpp:119
main
int main()
Main function.
Definition
generate_parentheses.cpp:110
merge
void merge(int *arr, int l, int m, int r)
Definition
merge_sort.cpp:37
printArray
void printArray(T *arr, int sz)
Definition
heap_sort.cpp:37
tests
Testcases to check Union of Two Arrays.
sorting
tim_sort.cpp
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