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In-depth research on optimizing Java bubble sort

Jan 05, 2024 am 08:48 AM
java Optimization Strategy Bubble Sort

In-depth research on optimizing Java bubble sort

In-depth discussion of the optimization strategy of Java bubble sort

Bubble sort is a classic sorting algorithm that compares and exchanges the positions of adjacent elements multiple times. Arrange a sequence in a certain order. Although the time complexity of bubble sort is O(n^2) and the efficiency is relatively low, it is still a simple and effective choice for small-scale data sorting. In this article, we will delve into the optimization strategy of Java bubble sort and give specific code examples.

  1. Basic bubble sort
    First, let’s review the basic implementation of bubble sort. Bubble sort uses multiple iterations to compare and exchange adjacent elements, sorting the largest element to the end. The following is a simple implementation method of bubble sort:
public class BubbleSort {
    public static void bubbleSort(int[] array) {
        int n = array.length;

        for (int i = 0; i < n - 1; i++) {
            for (int j = 0; j < n - i - 1; j++) {
                if (array[j] > array[j + 1]) {
                    // 交换相邻的两个元素
                    int temp = array[j];
                    array[j] = array[j + 1];
                    array[j + 1] = temp;
                }
            }
        }
    }

    public static void main(String[] args) {
        int[] array = {64, 34, 25, 12, 22, 11, 90};
        bubbleSort(array);
        System.out.println(Arrays.toString(array));
    }
}
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  1. Optimization strategy of bubble sort

Although bubble sort is a simple and easy to implement sorting algorithm, but its efficiency is not high. In some cases, bubble sort requires many comparisons and exchanges. Here we provide some optimization strategies to improve the efficiency of bubble sort.

2.1. Early termination

Each iteration of bubble sort will move the currently largest element to the end, but for ordered sequences, bubble sort does not need to continue iterating. Therefore, we can introduce a variable to mark whether there is a swap operation. If no swap is performed, it means that the sequence is in order and can be terminated early.

public static void bubbleSort(int[] array) {
    int n = array.length;

    for (int i = 0; i < n - 1; i++) {
        boolean swapped = false;  // 标记是否进行了交换操作

        for (int j = 0; j < n - i - 1; j++) {
            if (array[j] > array[j + 1]) {
                // 交换相邻的两个元素
                int temp = array[j];
                array[j] = array[j + 1];
                array[j + 1] = temp;

                swapped = true;
            }
        }

        // 如果没有进行交换,则提前终止
        if (!swapped) {
            break;
        }
    }
}
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2.2. Boundary control

Each iteration of bubble sort will put the largest element at the end, which means that the following elements are already in order and do not need to be compared. Therefore, we can determine the boundary of the next iteration by recording the position of the last exchange.

public static void bubbleSort(int[] array) {
    int n = array.length;

    int lastSwappedIndex = n - 1;  // 上一次交换的位置

    for (int i = 0; i < n - 1; i++) {
        int currentSwappedIndex = -1;  // 当前交换的位置

        for (int j = 0; j < lastSwappedIndex; j++) {
            if (array[j] > array[j + 1]) {
                // 交换相邻的两个元素
                int temp = array[j];
                array[j] = array[j + 1];
                array[j + 1] = temp;

                currentSwappedIndex = j;  // 记录当前交换的位置
            }
        }

        // 更新上一次交换的位置
        lastSwappedIndex = currentSwappedIndex;

        // 如果上一次交换的位置没有变化,则提前终止
        if (lastSwappedIndex == -1) {
            break;
        }
    }
}
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  1. Conclusion

By introducing the two optimization strategies of early termination and boundary control, we can significantly improve the efficiency of bubble sort. Especially when dealing with ordered sequences, these optimization strategies can greatly reduce the time complexity of bubble sort. However, it should be noted that bubble sort is still less efficient when processing large-scale data, so in practical applications, more efficient sorting algorithms may need to be considered.

The above is an in-depth discussion of Java bubble sort optimization strategy, as well as corresponding code examples. I hope that through this article, readers can better understand and apply the bubble sort algorithm.

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