Yes, that's how quick-sort works.
Quick Sort
quick sort
Because the quick sort can be used for large lists but selection not. selection sort is used to find the minimum element ,but quick choose element called pivot and move all smaller nums before it & larger after it.
Comolexity Not efficent big data
Use a sorting algorithm. There are a bewildering number of sorting algorithms, both stable and unstable. To sort numbers, an unstable sort suffices. The algorithm you use will depend on how many numbers need to be sorted (a small or a large set), however a hybrid algorithm (a combination of two or more algorithms) can cater for both. Introsort (unstable) and timsort (stable) are the two most common hybrid sorting algorithms.
There are several methods available to sort numbers. A simple way to program sorting is the so-called "bubble-sort". This is inefficient for larger lists of numbers; in which case it is more convenient to use one of the faster algorithms, for example, "quick-sort".
Although quick sort has a worst case time complexity of O(n^2), but for sorting a large amount of numbers, quick sort is very efficient because of the concept of locality of reference.
sort the follwing list of numbers in descending 187,62,155,343,184,958,365,427,78,94,121,388 using each of the follwing methods: 1)Insertion sort 2)selection sort 3)heap sort 4)merge sort 5)quick sort further count the number of operations, by each sorting method
Quick sort runs the loop from the start to the end everytime it finds a large value or a small value while in merge sort starts from the first position of the array and assembles the large or small numbers in one side in just one loop so its more faster than quick sort
Quick Sort
Yes, Quick Sort is an in-place sorting algorithm.
When you want to sort an array.
Quick sort is more efficient for large datasets compared to selection sort.
quick sort is a divide and conquer method , it is not dynamic programming
quick sort
quick sort
Sort the following list of numbers in the descending order, 187, 62, 155, 343, 184, 958, 365, 427, 78, 94, 121, 388 using each of the following methods: (i) Insertion Sort (ii) Selection Sort (iii) Heap Sort (iv) Merge Sort (v) Quick Sort Further, count the number of operations, by each sorting method.