递归调用分析-最大自序列求和问题

昨天开始看《数据结构与算法分析-java语言描述》这本书，在第二章举例了一个算法问题“最大子序列和问题”，在第三种递归方法，由于开始并没有很好理解，递归调用在算法中有很重要，用了最简单一个例子来加深理解！（当然这种方法在这四种算法中不是最优的）。

先给出源代码：

package secondCHA;
 
public class maxSUM3 {
   
	static int MaxSubSum( int A[], int Left, int Right)  //问题？初始left和right是先给定的吗？值是多少
	{  
	    int MaxLeftSum,MaxRightSum;  
	    int MaxLeftBorderSum,MaxRightBorderSum;  
	    int LeftBorderSum,RightBorderSum;  
	    int Center,i;  

		//递归终点，left>right的情况是不可能出现的，除非N是负数。
	    if(Left == Right)                              
	    {  
	        if(A[Left] > 0)  
	            return A[Left];  
	        else  
	            return 0;  
	    }  
	      
	    Center = (Left + Right)/2;  
	    //重点，递归部分
		MaxLeftSum = MaxSubSum(A,Left,Center);  
	    MaxRightSum = MaxSubSum(A,Center+1,Right);  
	     

		// 计算left达到中间分界处的两个最大和的和数
	    MaxLeftBorderSum = 0;  
	    LeftBorderSum = 0;  
	    for(i = Center;i >= Left;i--)  
	    {  
	        LeftBorderSum += A[i];  
	        if(LeftBorderSum > MaxLeftBorderSum)  
	            MaxLeftBorderSum = LeftBorderSum;  
	    }  
	    
		// 计算right达到中间分界处的两个最大和的和数
	    MaxRightBorderSum = 0;  
	    RightBorderSum = 0;  
	    for(i = Center+1;i <= Right;i++)  
	    {  
	        RightBorderSum += A[i];  
	        if(RightBorderSum > MaxRightBorderSum)  
	            MaxRightBorderSum = RightBorderSum;  
	    }     
	      
	    return Max(MaxLeftSum,MaxRightSum,MaxLeftBorderSum + MaxRightBorderSum);  
	}   
	  
	static int Max(int a, int b, int c)  
	{  
	    if(a>b&&a>c)  
	        return a;  
	    else if(b>a&&b>c)  
	        return b;  
	    else  
	        return c;   
	}  
	public static void main(String[] args) { 
		// TODO Auto-generated method stub
		 int[] a={4,-3,5,-2,-1,2,6,-2};
		 int left=0;
		 int right=a.length-1;
		 System.out.println(MaxSubSum(a,left,right));
	}
 
}

用8个元素的数组进行分析：

A0	A1	A2	A3	A4	A5	A6	A7
4	-3	5	-2	-1	2	6	-2

第一次：MaxSubSum(A,0,7)

A0	A1	A2	A3	A4	A5	A6	A7
4	-3	5	-2	-1	2	6	-2

Int center=（0+7）/2=3

左边（A0-A3）部分包含最后一个元素的最大值为：

LeftBorderSum=Max(A3,A3+A2,A3+A2+A1,A3+A2+A1+A0)=4

右边（A4-A7）部分包含第一个元素的最大值为：

RightBorderSum=Max(A4,A4+A5,A4+A5+A6,A4+A5+A6+A7)=7

return Max(MaxLeftSum,MaxRightSum,MaxLeftBorderSum + MaxRightBorderSum=11);

MaxSubSum(A,0,7)=return Max(MaxSubSum(A,0,3),MaxSubSum(A,4,7),11);

第一次的返回值采用了中MaxLeftSum = MaxSubSum(A,0,3)和MaxRightSum = MaxSubSum(A,4,7)采用了递归，则需先确定MaxSubSum(A,0,3)和MaxSubSum(A,4,7)，因为引出了第二次分析。

第二次：MaxSubSum(A,0,3)，MaxSubSum(A,4,7)

1 MaxSubSum(A,0,3)

A0	A1	A2	A3
4	-3	5	-2

Int center=（0+3）/2=1

左边（A0-A1）部分包含最后一个元素的最大值为：

LeftBorderSum=Max(A1,A1+A0,)=1

右边（A2-A3）部分包含第一个元素的最大值为：

RightBorderSum=Max(A2,,A2+A3)=5

return Max(MaxLeftSum,MaxRightSum,MaxLeftBorderSum + MaxRightBorderSum=6);

MaxSubSum(A,0,3)=return Max(MaxSubSum(A,0,1),MaxSubSum(A,2,3),6);

2 MaxSubSum(A,4,7)

A4	A5	A6	A7
-1	2	6	-2

Int center=（4+7）/2=5

左边（A4-A5）部分包含最后一个元素的最大值为：

LeftBorderSum=Max(A5,A5+A4)=2

右边（A6-A7）部分包含第一个元素的最大值为：

RightBorderSum=Max(A6,A6+A7)=6

return Max(MaxLeftSum,MaxRightSum,MaxLeftBorderSum + MaxRightBorderSum=8);

MaxSubSum(A,4,7)=return Max(MaxSubSum(A,4,5),MaxSubSum(A,6,7),8);

第三次MaxSubSum(A,0,1)，MaxSubSum(A,2,3)，MaxSubSum(A,4,5)，MaxSubSum(A,6,7)

1.1 MaxSubSum(A,0,1)

A0	A1
4	-3

MaxSubSum(A,0,1)=return Max(MaxSubSum(A,0,0),MaxSubSum(A,1,1),1);

1.2 MaxSubSum(A,2,3)

A2	A3
5	-2

MaxSubSum(A,2,3)=return Max(MaxSubSum(A,2,2),MaxSubSum(A,3,3),3);

2.1 MaxSubSum(A,4,5)

A4	A5
-1	2

MaxSubSum(A,4,5)=return Max(MaxSubSum(A,4,4),MaxSubSum(A,5,5),1);

2.2 MaxSubSum(A,6,7)

A6	A7
6	-2

MaxSubSum(A,6,7)=return Max(MaxSubSum(A,6,6),MaxSubSum(A,7,7),4);

第四次MaxSubSum(A,0,0)，MaxSubSum(A,1,1)，MaxSubSum(A,2,2)，MaxSubSum(A,3,3)，MaxSubSum(A,4,4)，MaxSubSum(A,5,5)，MaxSubSum(A,6,6)，MaxSubSum(A,7,7)

这时到达递归终点，由left=right

if(Left == Right)

{

if(A[Left] > 0)

return A[Left];

else

return 0;

}

因此：MaxSubSum(A,0,0)=4，MaxSubSum(A,1,1)=0，MaxSubSum(A,2,2)=5，MaxSubSum(A,3,3)=0，MaxSubSum(A,4,4)=0，MaxSubSum(A,5,5)=2，MaxSubSum(A,6,6)=6，MaxSubSum(A,7,7)=0

递归结束，则将递归终点按第四次-第三次-第二次-第一次返回。

MaxSubSum(A,0,0)=4，MaxSubSum(A,1,1)=0，MaxSubSum(A,2,2)=5，MaxSubSum(A,3,3)=0，MaxSubSum(A,4,4)=0，MaxSubSum(A,5,5)=2，MaxSubSum(A,6,6)=6，MaxSubSum(A,7,7)=0.

MaxSubSum(A,0,1)=return Max(MaxSubSum(A,0,0),MaxSubSum(A,1,1),1)=4

MaxSubSum(A,2,3)=return Max(MaxSubSum(A,2,2),MaxSubSum(A,3,3),3)=5

MaxSubSum(A,4,5)=return Max(MaxSubSum(A,4,4),MaxSubSum(A,5,5),1)=2;

MaxSubSum(A,6,7)=return Max(MaxSubSum(A,6,6),MaxSubSum(A,7,7),4)=6

MaxSubSum(A,0,3)=return Max(MaxSubSum(A,0,1),MaxSubSum(A,2,3),6)=6

MaxSubSum(A,4,7)=return Max(MaxSubSum(A,4,5),MaxSubSum(A,6,7),8)=8

MaxSubSum(A,0,7)=return Max(MaxSubSum(A,0,3),MaxSubSum(A,4,7),11)=11

总结：在理解递归的时候可以把他看做一个黑盒子，采用归纳证明发的思想，重点关注递归终点和递归方法。例如本例子中，这个方法的思想是，最大子序列可能有三种情况：左边，右边和包含左右挨着的元素组。就可以求左边最大，右边最大，左右同时包含最大，这三者中的最大值，其中左右同时包含的最大值是可以求得的，因此只需求左最大和右最大，这里又可以把左最大和右最大看成2个独立元素组......递归循环。递归终点，就是进入死循环或者无法继续，这时当left=right时，就需要终点程序。

递归调用分析-最大自序列求和问题

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