一、学习内容
堆的结构可以分为大根堆和小根堆,是一个完全二叉树,而堆排序是根据堆的这种数据结构设计的一种排序。每个结点的值都大于其左孩子和右孩子结点的值,称之为大根堆;每个结点的值都小于其左孩子和右孩子结点的值,称之为小根堆。学习链接:堆排序算法(图解详细流程)_阿顾的博客-CSDN博客_堆排序
/** ********************* * Heap sort. Maybe the most difficult sorting algorithm. ********************* */ public void heapSort() { DataNode tempNode; // Step 1. Construct the initial heap. for (int i = length / 2 - 1; i >= 0; i--) { adjustHeap(i, length); } // Of for i System.out.println("The initial heap: " + this + "\r\n"); // Step 2. Swap and reconstruct. for (int i = length - 1; i > 0; i--) { tempNode = data[0]; data[0] = data[i]; data[i] = tempNode; adjustHeap(0, i); System.out.println("Round " + (length - i) + ": " + this); } // Of for i }// Of heapSort /** ********************* * Adjust the heap. * * @param paraStart The start of the index. * @param paraLength The length of the adjusted sequence. ********************* */ public void adjustHeap(int paraStart, int paraLength) { DataNode tempNode = data[paraStart]; int tempParent = paraStart; int tempKey = data[paraStart].key; for (int tempChild = paraStart * 2 + 1; tempChild < paraLength; tempChild = tempChild * 2 + 1) { // The right child is bigger. if (tempChild + 1 < paraLength) { if (data[tempChild].key < data[tempChild + 1].key) { tempChild++; } // Of if } // Of if System.out.println("The parent position is " + tempParent + " and the child is " + tempChild); if (tempKey < data[tempChild].key) { // The child is bigger. data[tempParent] = data[tempChild]; System.out.println("Move " + data[tempChild].key + " to position " + tempParent); tempParent = tempChild; } else { break; } // Of if } // Of for tempChild data[tempParent] = tempNode; System.out.println("Adjust " + paraStart + " to " + paraLength + ": " + this); }// Of adjustHeap /** ********************* * Test the method. ********************* */ public static void heapSortTest() { int[] tempUnsortedKeys = { 5, 3, 6, 10, 7, 1, 9 }; String[] tempContents = { "if", "then", "else", "switch", "case", "for", "while" }; DataArray tempDataArray = new DataArray(tempUnsortedKeys, tempContents); System.out.println(tempDataArray); tempDataArray.heapSort(); System.out.println("Result\r\n" + tempDataArray); }// Of heapSortTest
二、实现结果