C Program Count 1’s in a sorted binary array – Searching and Sorting – A simple solution is to linearly traverse the array. The time complexity of the simple solution is O(n). We can use Binary Search to find count in O(Logn) time.
Searching and Sorting
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C Programming-Merge Sort for Doubly Linked List – Searching and Sorting – Merge sort for singly linked list is already discussed. The important change here is to modify the previous pointers also when merging two lists
JAVA Programming-Merge Sort for Doubly Linked List – Searching and Sorting – Merge sort for singly linked list is already discussed. The important change here is to modify the previous pointers also when merging two lists.
PYTHON Programming-Merge Sort for Doubly Linked List – Searching and Sorting – Merge sort for singly linked list is already discussed. The important change here is to modify the previous pointers also when merging two lists.
Python programming for Searching for Patterns Set 2 KMP Algorithm – Searching and sorting -Given a text txt[0..n-1] and a pattern pat[0..m-1].
Why Quick Sort preferred for Arrays and Merge Sort for Linked Lists? – Searching and Sorting – Quick Sort in its general form is an in-place sort. whereas merge sort requires O(N) extra storage, N denoting the array size which may be quite expensive.
Insertion Sort for Singly Linked List – Searching and sorting – We have discussed Insertion Sort for arrays.In this article linked list is also discussed.
Binary Insertion Sort – Searching and Sorting – We can use binary search to reduce the number of comparisons in normal insertion sort. Binary Insertion Sort find use binary search to find the proper location to insert the selected item at each iteration.
C++ Programming-Searching for Patterns Set 1 Naive Pattern Searching – Searching and Sorting – Given a text txt[0..n-1] and a pattern pat[0..m-1], write a function search(char pat[], char txt[]) that prints all occurrences of pat[] in txt[].
JAVA Program Count 1’s in a sorted binary array – Searching and Sorting – A simple solution is to linearly traverse the array. The time complexity of the simple solution is O(n). We can use Binary Search to find count in O(Logn) time.