Space and time complexity of Sorting and Searching algos. Which algo is the best and why?

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Accepted Answer

Sorting and searching algos have different space and time complexities. The best algo depends on the use case.

Sorting algos: Bubble sort, Insertion sort, Selection sort, Merge sort, Quick sort
Searching algos: Linear search, Binary search
Space complexity of sorting algos varies from O(1) to O(n), while time complexity varies from O(n^2) to O(nlogn)
Space complexity of searching algos is O(1), while time complexity is O(logn)
The best algo depends on the size of the data set, the type of data, and the use case
For small data sets, simple sorting algos like Bubble sort or Insertion sort may be sufficient
For large data sets, Merge sort or Quick sort may be better
Binary search is faster than Linear search, but requires the data to be sorted
In some cases, specialized sorting or searching algos may be more appropriate, such as Radix sort for sorting integers
Ultimately, the best algo is the one that meets the specific requirements of the problem at hand

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