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GeezerVison is showing github.com — Update LongestIncreasingSubsequence.java · JavaInCloud/Java@4e70451

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  • DynamicProgramming
    • LongestIncreasingSubsequence.java
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‎DynamicProgramming/LongestIncreasingSubsequence.java‎

Copy file name to clipboardExpand all lines: DynamicProgramming/LongestIncreasingSubsequence.java
+41-3Lines changed: 41 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -9,13 +9,15 @@ public static void main(String[] args) {
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Scanner sc = new Scanner(System.in);
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int n = sc.nextInt();
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12-
int ar[] = new int[n];
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int arr[] = new int[n];
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for (int i = 0; i < n; i++) {
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ar[i] = sc.nextInt();
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arr[i] = sc.nextInt();
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}
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System.out.println(LIS(ar));
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System.out.println(LIS(arr));
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System.out.println(findLISLen(arr));
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sc.close();
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}
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private static int upperBound(int[] ar, int l, int r, int key) {
@@ -56,4 +58,40 @@ private static int LIS(int[] array) {
5658

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return length;
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}
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/** @author Alon Firestein (https://github.com/alonfirestein) */
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// A function for finding the length of the LIS algorithm in O(nlogn) complexity.
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public static int findLISLen(int a[]) {
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int size = a.length;
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int arr[] = new int[size];
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arr[0] = a[0];
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int lis = 1;
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for (int i = 1; i < size; i++) {
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int index = binarySearchBetween(arr, lis, a[i]);
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arr[index] = a[i];
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if (index > lis)
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lis++;
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}
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return lis;
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}
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// O(logn)
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private static int binarySearchBetween(int[] t, int end, int key) {
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int left = 0;
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int right = end;
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if (key < t[0])
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return 0;
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if (key > t[end])
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return end + 1;
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while (left < right - 1) {
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int middle = (left + right) / 2;
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if (t[middle] < key)
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left = middle;
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else
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right = middle;
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}
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return right;
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}
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}

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