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What are the applications of selection sort?
None. Selection sort can only be used on small sets of unsorted data and although it generally performs better than bubble sort, it is unstable and is less efficient than insert sort. This is primarily because insert sort only needs to scan as far back as required to perform an insertion whereas selection sort must scan the entire set to find the lowest value in the set. And although selection sort generally performs fewer writes than insert sort, it cannot perform fewer writes than cycle sort, which is important in applications where write speed greatly exceeds read speed.
Why is quick sort and merge sort called stable algorithms?
Quick sort is not stable, but stable versions do exist. This comes at a cost in performance, however. A stable sort maintains the order of equal elements. That is, equal elements remain in the same order they were input. An unstable sort may change the order. In some cases, the order of equal elements is of no consequence, but when two elements with different values have the same sort key, then order can be important.
Who is better quick sort or merge sort?
Statistically both MergeSort and QuickSort have the same average case time: O(nlog(n)); However there are various differences. Most implementations of Mergesort, require additional scratch space, which could bash the performance. The pros of Mergesort are: it is a stable sort, and there is no worst-case scenario. Quicksort is often implemented inplace thus saving the performance and memory by not creating extra storage space. However the performance falls on already sorted/almost sorted lists if the pivot is not randomized. == ==
Difference between insertion sort and bubble sort?
Bubble sort and insertion sort both have the same time complexity (and space complexity) in the best, worst, and average cases. However, these are purely theoretical comparisons. In practical real-world scenarios, insertion sort (or any other sort, for that matter) will almost always be the better choice over a bubble sort.
What do you understand by complexity of sorting algorithms?
By understanding the time and space complexities of sorting algorithms, you will better understand how a particular algorithm will scale with increased data to sort. * Bubble sort is O(N2). The number of Ops should come out <= 512 * 512 = 262144 * Quicksort is O(2N log N) on the average but can degenerate to (N2)/2 in the worst case (try the ordered data set on quicksort). Quicksort is recursive and needs a lot of stack space. * Shell sort (named for Mr. Shell) is less than O(N4/3) for this implementation. Shell sort is iterative and doesn't require much extra memory. * Merge sort is O( N log N) for all data sets, so while it is slower than the best case for quicksort, it doesn't have degenerate cases. It needs additional storage equal to the size of the input array and it is recursive so it needs stack space. * Heap sort is guaranteed to be O(N log N), doesn't degenerate like quicksort and doesn't use extra memory like mergesort, but its implementation has more operations so on average its not as good as quicksort.
Why quick sort better than merge sort?
it has less complexity
What are the applications of selection sort?
None. Selection sort can only be used on small sets of unsorted data and although it generally performs better than bubble sort, it is unstable and is less efficient than insert sort. This is primarily because insert sort only needs to scan as far back as required to perform an insertion whereas selection sort must scan the entire set to find the lowest value in the set. And although selection sort generally performs fewer writes than insert sort, it cannot perform fewer writes than cycle sort, which is important in applications where write speed greatly exceeds read speed.
When is it more appropriate to use insertion sort than selection sort?
It is more appropriate to use insertion sort when the list is nearly sorted or has only a few elements out of place. Insertion sort is more efficient in these cases compared to selection sort.
When does quick sort take more time than merg sort?
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
Who is better in the nhl Stanley cup finals 2012 Quick or Brodeur?
Brodeur because he is more experienced and better than Quick
When is insertion sort better than merge sort in terms of efficiency and performance?
Insertion sort is better than merge sort in terms of efficiency and performance when sorting small arrays or lists with a limited number of elements. Insertion sort has a lower overhead and performs better on small datasets due to its simplicity and lower time complexity.
What are the key differences between quick sort and insertion sort in terms of their efficiency and performance?
Quick sort is generally faster than insertion sort for large datasets because it has an average time complexity of O(n log n) compared to insertion sort's O(n2) worst-case time complexity. Quick sort also uses less memory as it sorts in place, while insertion sort requires additional memory for swapping elements. However, insertion sort can be more efficient for small datasets due to its simplicity and lower overhead.
Does ps3 have better graphics than xbox?
Its sort of optional but i say no, xbox has much better graphics.
Why is quick sort and merge sort called stable algorithms?
Quick sort is not stable, but stable versions do exist. This comes at a cost in performance, however. A stable sort maintains the order of equal elements. That is, equal elements remain in the same order they were input. An unstable sort may change the order. In some cases, the order of equal elements is of no consequence, but when two elements with different values have the same sort key, then order can be important.
What are some examples of pseudocode for sorting algorithms, and how do they differ in terms of efficiency and implementation?
Some examples of pseudocode for sorting algorithms include Bubble Sort, Selection Sort, and Merge Sort. These algorithms differ in terms of efficiency and implementation. Bubble Sort is simple but less efficient for large datasets. Selection Sort is also simple but more efficient than Bubble Sort. Merge Sort is more complex but highly efficient for large datasets due to its divide-and-conquer approach.
Which is the better handgun pistol or revolver?
There is no better- some work better for some purposes than others. Sort of like which is better- a spoon or a fork?
When an organism with a better adaptation survives and reproduces more than another this is considered?
natural selection
