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More Sorting

More Sorting. Radix Sort Relies on a stable sorting algorithm (for example counting sort). Radix Sort. Sort an array of numbers Example: { 329, 457, 657, 839, 436, 720, 355 } If we look the digits for any number (ones, tens, hundreds), they are between 0 and 9. Radix Sort.

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More Sorting

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  1. More Sorting Radix SortRelies on a stable sorting algorithm (for example counting sort)

  2. Radix Sort • Sort an array of numbers • Example: { 329, 457, 657, 839, 436, 720, 355 } • If we look the digits for any number (ones, tens, hundreds), they are between 0 and 9

  3. Radix Sort • An y digit is between 0 and 9 •  that sets up well for using counting sort (with k = 9) one digit at a time

  4. Radix Sort • Strategy: • Step 1: Sort numbers based on ones digit • Step 2: Sort numbers based on tens digit • Step 3: Sort numbers based on hundreds digit • ….continue if necessary

  5. Radix Sort

  6. Radix Sort • Using a stable sorting algorithm is important: • If we did not and we have, after sorting on 1s: • 456 • 457 • When we sort on 10s (they both have a 5), they could end up inverted

  7. Radix Sort • Running time analysis: • Number of numbers to sort = n • Number of digits per number = d • If we have numbers with different numbers of digits, take the biggest as the standard, pad the other ones with 0s: 7865, 0056, 0341, ..

  8. Radix Sort • We loop through all the digits from right to left ( d iterations) • For each digit, we run counting sort  O( n + k ) if k is the number of possible digits (10 if numbers are decimal) •  O( d ( n + k ) )

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