2017-02-06 34 views

回答

0

你可以使用一個輔助方法rowMinsIndex,你在通過你的二維數組,像這樣:

import java.util.Arrays; 

class Main { 
    public static void main(String[] args) { 
    int[][] twoDimensionalArray = new int[][]{ 
     { 1, 2, 5 }, 
     { 4, 3, 6 }, 
     { 7, 5, 9 } 
    }; 

    System.out.println("The twoDimensionalArray is: " + Arrays.deepToString(twoDimensionalArray)); 
    int[] minsOfEachRow = rowMinsIndex(twoDimensionalArray); 
    for(int i = 0; i < minsOfEachRow.length; i++) { 
     System.out.println("The index of the minimum of row " + i + " is: " + minsOfEachRow[i]); 
    } 
    } 

    public static int[] rowMinsIndex(int[][] nums) { 
    int [] count = new int [nums.length]; 
    int [] minIndexes = new int [nums.length]; 
    Arrays.fill(count, Integer.MAX_VALUE); 
    for(int i = 0; i < count.length; i++){ 
     for(int x = 0; x < nums[0].length; x++){ 
     if(nums[i][x] < count[i]){ 
      count[i] = nums[i][x]; 
      minIndexes[i] = x; 
     } 
     } 
    } 
    return minIndexes; 
    } 
} 

輸出繼電器:

The twoDimensionalArray is: [[1, 2, 5], [4, 3, 6], [7, 5, 9]] 
The index of the minimum of row 0 is: 0 
The index of the minimum of row 1 is: 1 
The index of the minimum of row 2 is: 1 

試試吧here!

+1

非常感謝。有用。 –

0
void findMinimumIndex(float[][] data) 
{ 
    int x = 0 , y = 0; 
    float assumedMin = 0.0f; 
    int lastSmallestXIndex , lastSmallestYIndex; 
    ArrayList<Integer> minIndexListInRows = new ArrayList<>(); 
    for(x = 0; x < data.length; x++) 
    { 
     for(y = 1 , assumedMin = data[x][y - 1]; y < data[x].length; y++) 
     { 
      if(assumedMin < data[x][y]) 
      { 
       assumedMin = data[x][y]; 
       lastSmallestXIndex = x; 
       lastSmallestYIndex = y; 
      } 
     } 
     System.out.println("In (" + x + "," + y + "), smallest float is: " + assumedMin + ", At: {" + lastSmallestXIndex + "," + lastSmallestYIndex + "}"); 
    } 
} 

minIndexListInRows,您可以在其中應用您的技巧以至少發揮你的作用,這個代碼區是你的冒煙槍;

  for(y = 1 , assumedMin = data[x][y - 1]; y < data[x].length; y++) 
     { 
      if(assumedMin < data[x][y]) 
      { 
       assumedMin = data[x][y]; 
       lastSmallestXIndex = x; 
       lastSmallestYIndex = y; 
      } 
     } 
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