Hoichoi series

Jul 11, 2020 · Solution one is using sort and sort the input in descending order and the kth largest elemenet will be the k-1. Python using timesort which time complexity is O (nlogn). Second solution is general. You can build a heap from input array and pop the heap until there k element left. Building heap is taking O (nlogn) time complexity.## Graco 395 vs 490

- I am trying to design an efficient algorithm that retrieves the ith to jth largest elements in an array. For example, if the following array is the input: [10, 14, 18, 3, 21, 25, 27] i = 2 j = 4 The following array is returned: [25, 21, 18] 18 is the 4th largest element in the array and 25 is the 2nd smallest element in an array.
- Aug 28, 2016 · Time complexity of Build-Max-Heap() function is O(n). Performance of Heap Sort is O(n+n*logn) which is evaluated to O(n*logn) in all 3 cases (worst, average and best) . It is an in-place sorting algorithm as it requires a constant amount of additional space.

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Search an element in a 2D array (matrix) sorted row-wise and col-wise Linear search is O(N 2 ) for an N by N matrix but doing that would mean that we are not using the sorted property of the matrix. We cannot apply binary search considering the matrix to be one array of length NxN because sorting is only per row and per column i.e. the matrix ...## Youtube 45 vs 9mm

- This is an algorithm for Order Statistics in Sorted Arrays. Main Algorithm: 3:20 Prerequisites: Binary Search - https://www.topcoder.com/community/data-scien...
- C program to insert an element in an array, for example, consider an array a[10] having three elements in it initially and a[0] = 1, a[1] = 2 and a[2] = 3 and you want to insert a number 45 at location 1 i.e. a[0] = 45, so we have to move elements one step below so after insertion a[1] = 1 which was a[0] initially, and a[2] = 2 and a[3] = 3.

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