Data structure-sparse array

One, sparse array

1. Concept

When using a two-dimensional array to save data, if the number of saved non-default values (such as the default value of the int type is 0) is less than the size of the entire two-dimensional array , you can consider using a sparse array to reduce memory usage.

The first dimension is the sparse array normal array 一维长度 二维长度and 非默认元素个数; other non-default dimension element 一维下标 二维下标and元素值

2. Conversion steps

1) Normal array to sparse array

  1. Get the one-dimensional and two-dimensional lengths of ordinary arrays, and the number of non-default elements
  2. Create a new sparse array (one-dimensional length is 1 + the number of non-default elements, two-dimensional length is 3)
  3. Traverse ordinary arrays and assign values ​​to sparse arrays

2) Sparse array to ordinary array

  1. Get the first dimension of the sparse array, you can get the one-dimensional length of the ordinary array and the number of non-default elements with two-dimensional length
  2. Create a new ordinary array and initialize the default value
  3. Traverse the sparse array and assign non-default elements

3) Example

class SpareArray {
    
    

    /**
     * 将普通的二维数组转换为稀疏数组
     */
    public static int[][] transform(int[][] array, int defaultValue) {
    
    
        if (null == array) {
    
    
            return null;
        }

        int len = array.length; // 一维长度
        if (0 == len) {
    
    
            return null;
        }
        int length = array[0].length; // 二维长度
        if (0 == length) {
    
    
            return null;
        }

        int count = 0;
        for (int i = 0; i < len; i++) {
    
    
            int[] arr = array[i];
            for (int j = 0; j < length; j++) {
    
    
                int ele = arr[j];
                if (defaultValue != ele) {
    
    
                    count++;
                }
            }
        }

        int[][] spareArray = new int[1 + count][3];
        spareArray[0][0] = len; // 一维长度
        spareArray[0][1] = length; // 二维长度
        spareArray[0][2] = count; // 非默认元素个数

        int index = 0;
        for (int a = 0; a < len; a++) {
    
    
            for (int b = 0; b < length; b++) {
    
    
                int ele = array[a][b];
                if (defaultValue != ele) {
    
    
                    index++;
                    spareArray[index][0] = a;
                    spareArray[index][1] = b;
                    spareArray[index][2] = ele;
                }
            }
        }

        return spareArray;
    }

    /**
     * 将稀疏数组恢复回普通的二维数组
     */
    public static int[][] recover(int[][] spareArray, int defaultValue) {
    
    
        if (null == spareArray) {
    
    
            return null;
        }

        int len = spareArray[0][0];
        int length = spareArray[0][1];
        int count = spareArray[0][2];

        int[][] array = new int[len][length];
        for (int i = 0; i < len; i++) {
    
    
            for (int j = 0; j < length; j++) {
    
    
                array[i][j] = defaultValue;
            }
        }

        for (int a = 1; a <= count; a++) {
    
     // 从稀疏数组的第二维开始遍历
            int x = spareArray[a][0];
            int y = spareArray[a][1];
            int ele = spareArray[a][2];
            array[x][y] = ele;
        }

        return array;
    }

}

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Origin blog.csdn.net/adsl624153/article/details/103865795