POJ 3437 Tree Grafting(二叉树高度)

本文介绍了一种将多叉树转换为二叉树的方法,并通过实例演示了转换过程。此外,还提供了一个算法来计算转换前后树的高度,以便评估复杂度的变化。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >



Time Limit: 5000MS Memory Limit: 65536K
Total Submissions: 1677 Accepted: 718

Description

Trees have many applications in computer science. Perhaps the most commonly used trees are rooted binary trees, but there are other types of rooted trees that may be useful as well. One example is ordered trees, in which the subtrees for any given node are ordered. The number of children of each node is variable, and there is no limit on the number. Formally, an ordered tree consists of a finite set of nodes T such that
  • there is one node designated as the root, denoted root(T);
  • the remaining nodes are partitioned into subsets T1, T2, ..., Tm, each of which is also a tree (subtrees).
Also, define root(T1), ..., root(Tm) to be the children of root(T), with root(Ti) being the i-th child. The nodes root(T1), ..., root(Tm) are siblings.

It is often more convenient to represent an ordered tree as a rooted binary tree, so that each node can be stored in the same amount of memory. The conversion is performed by the following steps:

  1. remove all edges from each node to its children;
  2. for each node, add an edge to its first child in T (if any) as the left child;
  3. for each node, add an edge to its next sibling in T (if any) as the right child.

This is illustrated by the following:

         0                             0
       / | \                          /
      1  2  3       ===>             1
        / \                           \
       4   5                           2
                                      / \
                                     4   3
                                      \
                                       5

In most cases, the height of the tree (the number of edges in the longest root-to-leaf path) increases after the conversion. This is undesirable because the complexity of many algorithms on trees depends on its height.

You are asked to write a program that computes the height of the tree before and after the conversion.

Input

The input is given by a number of lines giving the directions taken in a depth-first traversal of the trees. There is one line for each tree. For example, the tree above would give dudduduudu, meaning 0 down to 1, 1 up to 0, 0 down to 2, etc. The input is terminated by a line whose first character is #. You may assume that each tree has at least 2 and no more than 10000 nodes.

Output

For each tree, print the heights of the tree before and after the conversion specified above. Use the format:

 Tree t: h1 => h2 
where t is the case number (starting from 1), h1 is the height of the tree before the conversion, and h2 is the height of the tree after the conversion.

Sample Input

dudduduudu
ddddduuuuu
dddduduuuu
dddduuduuu
#

Sample Output

Tree 1: 2 => 4
Tree 2: 5 => 5
Tree 3: 4 => 5
Tree 4: 4 => 4

Source

首先,贴上多叉树转二叉树的方法:


方法非常简单,"左儿子,右兄弟"
就是将一个节点的第一个儿子放在左儿子的位置,下一个的儿子,即左儿子的第一个兄弟,
放在左儿子的右儿子位置上,再下一个兄弟接着放在右儿子的右儿子.


由题目给出的字符串,可以轻松求出多叉树.但是题目问的是转为二叉树的高度......

由于多叉树转二叉树的方法是"左儿子右兄弟",因此 二叉树中X节点的高=二叉树中X的父节点的高+X是第几个儿子-1

形成了一个递归定义. 可以用递归算法解决.


#include <iostream>
#include <cstdio>
#include <cstring>
#include <algorithm>
using namespace std;
char str[1000000];      //可以用string
int height1,height2;
int len,i;
void caculate(int level1,int level2)
{
    if(i == len) return ;
    int tempson = 0;
    while(str[i] == 'd')
    {
        i++;
        tempson++;
        caculate(level1+1,level2+tempson);
    }
    if(height1 < level1)
        height1 = level1;
    if(height2 < level2)
        height2 = level2;
    i++;
}
int main()
{
    int t = 1;
    while(cin>>str)
    {
        if(str[0] == '#')
            break;
        height1 = height2 = 0;
        len = strlen(str);
        i = 0;
        caculate(0,0);
        printf("Tree %d: %d => %d\n",t++,height1,height2);
    }
    return 0;
}


评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值