#ifndef SORT_H_ #define SORT_H_ #define merge Merge #define swap Swap /** * Several sorting routines. * Arrays are rearranged with smallest item first. */ #include "vector.h" /** * Simple insertion sort. */ template void insertionSort( vector & a ) { /* 1*/ for( int p = 1; p < a.size( ); p++ ) { /* 2*/ Comparable tmp = a[ p ]; int j; /* 3*/ for( j = p; j > 0 && tmp < a[ j - 1 ]; j-- ) /* 4*/ a[ j ] = a[ j - 1 ]; /* 5*/ a[ j ] = tmp; } } /** * Shellsort, using Shell's (poor) increments. */ template void shellsort( vector & a ) { for( int gap = a.size( ) / 2; gap > 0; gap /= 2 ) for( int i = gap; i < a.size( ); i++ ) { Comparable tmp = a[ i ]; int j = i; for( ; j >= gap && tmp < a[ j - gap ]; j -= gap ) a[ j ] = a[ j - gap ]; a[ j ] = tmp; } } /** * Standard heapsort. */ template void heapsort( vector & a ) { /* 1*/ for( int i = a.size( ) / 2; i >= 0; i-- ) /* buildHeap */ /* 2*/ percDown( a, i, a.size( ) ); /* 3*/ for( int j = a.size( ) - 1; j > 0; j-- ) { /* 4*/ swap( a[ 0 ], a[ j ] ); /* deleteMax */ /* 5*/ percDown( a, 0, j ); } } /** * Internal method for heapsort. * i is the index of an item in the heap. * Returns the index of the left child. */ inline int leftChild( int i ) { return 2 * i + 1; } /** * Internal method for heapsort that is used in * deleteMax and buildHeap. * i is the position from which to percolate down. * n is the logical size of the binary heap. */ template void percDown( vector & a, int i, int n ) { int child; Comparable tmp; /* 1*/ for( tmp = a[ i ]; leftChild( i ) < n; i = child ) { /* 2*/ child = leftChild( i ); /* 3*/ if( child != n - 1 && a[ child ] < a[ child + 1 ] ) /* 4*/ child++; /* 5*/ if( tmp < a[ child ] ) /* 6*/ a[ i ] = a[ child ]; else /* 7*/ break; } /* 8*/ a[ i ] = tmp; } /** * Mergesort algorithm (driver). */ template void mergeSort( vector & a ) { vector tmpArray( a.size( ) ); mergeSort( a, tmpArray, 0, a.size( ) - 1 ); } /** * Internal method that makes recursive calls. * a is an array of Comparable items. * tmpArray is an array to place the merged result. * left is the left-most index of the subarray. * right is the right-most index of the subarray. */ template void mergeSort( vector & a, vector & tmpArray, int left, int right ) { if( left < right ) { int center = ( left + right ) / 2; mergeSort( a, tmpArray, left, center ); mergeSort( a, tmpArray, center + 1, right ); merge( a, tmpArray, left, center + 1, right ); } } /** * Internal method that merges two sorted halves of a subarray. * a is an array of Comparable items. * tmpArray is an array to place the merged result. * leftPos is the left-most index of the subarray. * rightPos is the index of the start of the second half. * rightEnd is the right-most index of the subarray. */ template void merge( vector & a, vector & tmpArray, int leftPos, int rightPos, int rightEnd ) { int leftEnd = rightPos - 1; int tmpPos = leftPos; int numElements = rightEnd - leftPos + 1; // Main loop while( leftPos <= leftEnd && rightPos <= rightEnd ) if( a[ leftPos ] <= a[ rightPos ] ) tmpArray[ tmpPos++ ] = a[ leftPos++ ]; else tmpArray[ tmpPos++ ] = a[ rightPos++ ]; while( leftPos <= leftEnd ) // Copy rest of first half tmpArray[ tmpPos++ ] = a[ leftPos++ ]; while( rightPos <= rightEnd ) // Copy rest of right half tmpArray[ tmpPos++ ] = a[ rightPos++ ]; // Copy tmpArray back for( int i = 0; i < numElements; i++, rightEnd-- ) a[ rightEnd ] = tmpArray[ rightEnd ]; } /** * Quicksort algorithm (driver). */ template void quicksort( vector & a ) { quicksort( a, 0, a.size( ) - 1 ); } /** * Standard swap */ template inline void swap( Comparable & obj1, Comparable & obj2 ) { Comparable tmp = obj1; obj1 = obj2; obj2 = tmp; } /** * Return median of left, center, and right. * Order these and hide the pivot. */ template const Comparable & median3( vector & a, int left, int right ) { int center = ( left + right ) / 2; if( a[ center ] < a[ left ] ) swap( a[ left ], a[ center ] ); if( a[ right ] < a[ left ] ) swap( a[ left ], a[ right ] ); if( a[ right ] < a[ center ] ) swap( a[ center ], a[ right ] ); // Place pivot at position right - 1 swap( a[ center ], a[ right - 1 ] ); return a[ right - 1 ]; } /** * Internal quicksort method that makes recursive calls. * Uses median-of-three partitioning and a cutoff of 10. * a is an array of Comparable items. * left is the left-most index of the subarray. * right is the right-most index of the subarray. */ template void quicksort( vector & a, int left, int right ) { /* 1*/ if( left + 10 <= right ) { /* 2*/ Comparable pivot = median3( a, left, right ); // Begin partitioning /* 3*/ int i = left, j = right - 1; /* 4*/ for( ; ; ) { /* 5*/ while( a[ ++i ] < pivot ) { } /* 6*/ while( pivot < a[ --j ] ) { } /* 7*/ if( i < j ) /* 8*/ swap( a[ i ], a[ j ] ); else /* 9*/ break; } /*10*/ swap( a[ i ], a[ right - 1 ] ); // Restore pivot /*11*/ quicksort( a, left, i - 1 ); // Sort small elements /*12*/ quicksort( a, i + 1, right ); // Sort large elements } else // Do an insertion sort on the subarray /*13*/ insertionSort( a, left, right ); } /** * Internal insertion sort routine for subarrays * that is used by quicksort. * a is an array of Comparable items. * left is the left-most index of the subarray. * right is the right-most index of the subarray. */ template void insertionSort( vector & a, int left, int right ) { for( int p = left + 1; p <= right; p++ ) { Comparable tmp = a[ p ]; int j; for( j = p; j > left && tmp < a[ j - 1 ]; j-- ) a[ j ] = a[ j - 1 ]; a[ j ] = tmp; } } /** * Quick selection algorithm. * Places the kth smallest item in a[k-1]. * a is an array of Comparable items. * k is the desired rank (1 is minimum) in the entire array. */ template void quickSelect( vector & a, int k ) { quickSelect( a, 0, a.size( ) - 1, k ); } /** * Internal selection method that makes recursive calls. * Uses median-of-three partitioning and a cutoff of 10. * Places the kth smallest item in a[k-1]. * a is an array of Comparable items. * left is the left-most index of the subarray. * right is the right-most index of the subarray. * k is the desired rank (1 is minimum) in the entire array. */ template void quickSelect( vector & a, int left, int right, int k ) { /* 1*/ if( left + 10 <= right ) { /* 2*/ Comparable pivot = median3( a, left, right ); // Begin partitioning /* 3*/ int i = left, j = right - 1; /* 4*/ for( ; ; ) { /* 5*/ while( a[ ++i ] < pivot ) { } /* 6*/ while( pivot < a[ --j ] ) { } /* 7*/ if( i < j ) /* 8*/ swap( a[ i ], a[ j ] ); else /* 9*/ break; } /*10*/ swap( a[ i ], a[ right - 1 ] ); // Restore pivot // Recurse; only this part changes /*11*/ if( k <= i ) /*12*/ quickSelect( a, left, i - 1, k ); /*13*/ else if( k > i + 1 ) /*14*/ quickSelect( a, i + 1, right, k ); } else // Do an insertion sort on the subarray /*15*/ insertionSort( a, left, right ); } /** * Class that wraps a pointer variable. */ template class Pointer { public: Pointer( Comparable *rhs = NULL ) : pointee( rhs ) { } bool operator<( const Pointer & rhs ) const { return *pointee < *rhs.pointee; } operator Comparable * ( ) const { return pointee; } private: Comparable *pointee; }; /** * Sort objects -- even large ones -- * with only N + ln N Comparable moves on average. */ template void largeObjectSort( vector & a ) { vector > p( a.size( ) ); int i, j, nextj; for( i = 0; i < a.size( ); i++ ) p[ i ] = &a[ i ]; quicksort( p ); // Shuffle items in place for( i = 0; i < a.size( ); i++ ) if( p[ i ] != &a[ i ] ) { Comparable tmp = a[ i ]; for( j = i; p[ j ] != &a[ i ]; j = nextj ) { nextj = p[ j ] - &a[ 0 ]; a[ j ] = *p[ j ]; p[ j ] = &a[ j ]; } a[ j ] = tmp; p[ j ] = &a[ j ]; } } #endif