zoukankan      html  css  js  c++  java
  • LeetCode 566 Reshape the Matrix

    题目:

    In MATLAB, there is a very useful function called 'reshape', which can reshape a matrix into a new one with different size but keep its original data.

    You're given a matrix represented by a two-dimensional array, and two positive integers r and c representing the row number and column number of the wanted reshaped matrix, respectively.

    The reshaped matrix need to be filled with all the elements of the original matrix in the same row-traversing order as they were.

    If the 'reshape' operation with given parameters is possible and legal, output the new reshaped matrix; Otherwise, output the original matrix.

    Example 1:

    Input: 
    nums = 
    [[1,2],
     [3,4]]
    r = 1, c = 4
    Output: 
    [[1,2,3,4]]
    Explanation:
    The row-traversing of nums is [1,2,3,4]. The new reshaped matrix is a 1 * 4 matrix, fill it row by row by using the previous list.

    Example 2:

    Input: 
    nums = 
    [[1,2],
     [3,4]]
    r = 2, c = 4
    Output: 
    [[1,2],
     [3,4]]
    Explanation:
    There is no way to reshape a 2 * 2 matrix to a 2 * 4 matrix. So output the original matrix.

    Note:

      1. The height and width of the given matrix is in range [1, 100].
      2. The given r and c are all positive.

    分析:

    提交:

    class Solution {
        public int[][] matrixReshape(int[][] nums, int r, int c) {
            int m=nums.length;
            int n=nums[0].length;
            
            if(r*c == m*n) {
                
                
                int[] array = new int[m*n];
                for(int i=0; i<m; i++) {
                    for(int j=0; j<n; j++) {
                        array[i*n+j] = nums[i][j];
                    }
                }
                
                int[][] newMatrix = new int[r][c];
                for(int i=0; i<r; i++){
                    for(int j=0; j<c; j++) {
                        newMatrix[i][j] = array[i*c+j];
                    }
                }
                
                return newMatrix;
            } else {
                return nums;
            }
        }
    }

    结果:

    略作修改,二次提交:

    class Solution {
        public int[][] matrixReshape(int[][] nums, int r, int c) {
            int m=nums.length;
            int n=nums[0].length;
            
            if(r*c != m*n) {
                return nums;
            }
                
           int[] array = new int[m*n];
           for(int i=0; i<m; i++) {
               for(int j=0; j<n; j++) {
                   array[i*n+j] = nums[i][j];
               }
           }
           
           int[][] newMatrix = new int[r][c];
           for(int i=0; i<r; i++){
               for(int j=0; j<c; j++) {
                   newMatrix[i][j] = array[i*c+j];
               }
           }
           
           
          /* int[][] newMatrix = new int[r][c];
           for(int i=0; i<r; i++){
               for(int j=0; j<c; j++) {
                   newMatrix[i][j] = nums[i]*c+j];
               }
           }
            */
            
           return newMatrix;
    
    
                
       
        }
    }

    结果:

    分析:

    为什么简单的修改会带来很大的执行时间变化?

  • 相关阅读:
    Docker学习笔记之常用的 Docker Compose 配置项
    Docker学习笔记之使用 Docker Compose 管理容器
    qt无法使用终端启动的解决方法
    实践卡尔曼滤波--小球追踪
    高斯分布 笔记
    蒙特卡罗定位(Particle Filter Localization)笔记
    珊格地图笔记
    ubuntu14.04 下安装 gsl 科学计算库
    SLAM学习资料汇总
    矩阵的SVD分解
  • 原文地址:https://www.cnblogs.com/hzg1981/p/8818298.html
Copyright © 2011-2022 走看看