# sorting - Internal Sorting Algorithms A sorting algorithm...

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1 Internal Sorting Algorithms A sorting algorithm can be classified as being internal if the records that it is sorting are in main memory, or external if some of the records that it is sorting are in secondary storage. In this course, we shall only discuss internal sorting algorithms. To simplify discussion, sorting of an integer array is used in our examples. Efficiency of a sorting method is usually measured by the number of comparisons and data movements required. Insertion sort Successively insert a new element into a sorted sublist. Example: input array: [25 57 48 37 92 60] sorted sublist: [25] ; initial condition sorted sublist: [25 57] ; insert 57 sorted sublist: [25 48 57] ; insert 48 sorted sublist: [25 37 48 57] ; insert 37 sorted sublist: [25 37 48 57 92] ; insert 92 sorted sublist: [25 37 48 57 60 92] ; insert 60 void insertionSort(int x[], int N) { for (int i = 1; i < N; i++) { int t = x[i]; int j; for (j = i-1; j >= 0 && x[j] > t; j--) x[j+1] = x[j]; x[j+1] = t; } }

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2 Complexity of insertion sort Let c be the number of comparisons required to insert an element into a sorted sublist of size k . Best case: c = 1 Average case: c = k /2 Worst case: c = k The total number of comparisons = 1 1 N k c Overall time complexity Best case c = 1 O ( N ) Average case c = k /2 O ( N 2 ) Worst case c = k O ( N 2 ) Number of data movement = number of comparisons Because of the simplicity of insertion sort, it is the fastest sorting method when the number of elements N is small, e.g. N < 10. Generic sorting function for any data type template<class Type> void insertionSort(Type *x, unsigned N, int (*compare)(const Type&, const Type&)) { for (int i = 1; i < N; i++) { Type t = x[i]; int j; for (j = i-1; j >= 0 && (*compare)(x[j], t) > 0; j--) x[j+1] = x[j]; x[j+1] = t; } }
3 Quicksort Consider an array x [0 ..N 1] 1. Choose a pivot element a from a specific position, say a=x [0] 2. partition x [] using a, i.e. a is placed into position j ( i.e. x [ j ] = a ) such that x [ i ] a for i = 1, 2, …, ( j 1), and x [ k ] > a where k = j +1, …, N-1 3. The two subarrays x [0 .. ( j 1)] and x [( j+ 1) ..N 1] are sorted recursively using the same method. Partitioning operation: Step 1: scan the array from left to right to look for an element x[ i ] > x[0] Step 2: scan the array from right to left to look for an element x[ j ] x[0] Step 3: if ( i < j ) swap x[ i ] with x[ j ] and go to step 1; otherwise swap x[0] with x[ j ] (partitioning finished). Example: Partitioning process   50 25 57 48 37 92 33 64 ;swap x[ i ] with x[ j ] i j 50 25 33 48 37 92 57 64 ;swap x[0] with x[ j ] j i 37 25 33 48 50 92 57 64 ;partitioning finished [ 50 ] [ > 50 ] ;sort the left and right sublists recursively left sublist right sublist

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4 void swap(int x[], int i, int j) { int t = x[i]; x[i] = x[j];
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• Spring '14
• VAN
• Array, const void, const Type, subfiles

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