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  Data Structures and Algorithms   Sorting Bin Sorts PLSD210  Lecture 9 - Key Points ã Quicksort ã Use for good overall performance where time is not a constraint ã Heap Sort ã Slower than quick sort, but guaranteed O(n log  n)    ã Use for real-time systems where time is critical ã Functions as data types ã Argument of a function can be a function ã Enables flexible general purpose classes ã Enables table driven code  Sorting ã We now know several sorting algorithms ã Insertion O(n  2  )    ã Bubble O(n  2  )    ã Heap O(n log n) Guaranteed    ã Quick O(n log n) Most of the time!    ã Can we do any better?  Sorting - Better than O(n log  n)   ? ã If all we know about the keys is an ordering rule ã No! ã However, ã If we can compute an address from the key  (in constant time)   then bin sort algorithms can provide better performance
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