Data Str &amp; Algorithm HW Solutions 47

# Data Str &amp; Algorithm HW Solutions 47 - 47 7.3 The...

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47 7.3 The revised algorithm will work correctly, and its asymptotic complexity will remain Θ( n 2 ) . However, it will do about twice as many comparisons, since it will compare adjacent elements within the portion of the list already known to be sorted. These additional comparisons are unproductive. 7.4 While binary search will fi nd the proper place to locate the next element, it will still be necessary to move the intervening elements down one position in the array. This requires the same number of operations as a sequential search. However, it does reduce the number of element/element comparisons, and may be somewhat faster by a constant factor since shifting several elements may be more ef fi cient than an equal number of swap operations. 7.5 (a) template <class Elem, class Comp> void selsort(Elem A[], int n) { // Selection Sort for (int i=0; i<n-1; i++) { // Select i’th record int lowindex = i; // Remember its index for (int j=n-1; j>i; j--) // Find least value if (Comp::lt(A[j], A[lowindex])) lowindex = j; // Put it in place if (i != lowindex) // Add check for exercise
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