ALDS1_7_A-RootedTree.
Description:

A graph G = (V, E) is a data structure where V is a finite set of vertices and E is a binary relation on V represented by a set of edges. Fig. 1 illustrates an example of a graph (or graphs).

A free tree is a connnected, acyclic, undirected graph. A rooted tree is a free tree in which one of the vertices is distinguished from the others. A vertex of a rooted tree is called "node."

Your task is to write a program which reports the following information for each node u of a given rooted tree T:

node ID of u

parent of u

depth of u

node type (root, internal node or leaf)

a list of chidlren of u

If the last edge on the path from the root r of a tree T to a node x is (p, x), then p is the parent of x, and x is a child of p. The root is the only node in T with no parent.

A node with no children is an external node or leaf. A nonleaf node is an internal node

The number of children of a node x in a rooted tree T is called the degree of x.

The length of the path from the root r to a node x is the depth of x in T.

Here, the given tree consists of n nodes and evey node has a unique ID from 0 to n-1.

Fig. 2 shows an example of rooted trees where ID of each node is indicated by a number in a circle (node). The example corresponds to the first sample input.

Input:

The first line of the input includes an integer n, the number of nodes of the tree.

In the next n lines, the information of each node u is given in the following format:

id k c1 c2 ... ck

where id is the node ID of u, k is the degree of u, c1 ... ck are node IDs of 1st, ... kth child of u. If the node does not have a child, the k is 0.

Output:

Print the information of each node in the following format ordered by IDs:

node id: parent = p , depth = d, type, [c1...ck]

p is ID of its parent. If the node does not have a parent, print -1.

d is depth of the node.

type is a type of nodes represented by a string (root, internal node or leaf). If the root can be considered as a leaf or an internal node, print root.

c1...ck is the list of children as a ordered tree.

Please follow the format presented in a sample output below.

Constraints:

≤ n ≤ 100000

SampleInput1:

13

0 3 1 4 10

1 2 2 3

2 0

3 0

4 3 5 6 7

5 0

6 0

7 2 8 9

8 0

9 0

10 2 11 12

11 0

12 0

SampleOutput1:

node 0: parent = -1, depth = 0, root, [1, 4, 10]

node 1: parent = 0, depth = 1, internal node, [2, 3]

node 2: parent = 1, depth = 2, leaf, []

node 3: parent = 1, depth = 2, leaf, []

node 4: parent = 0, depth = 1, internal node, [5, 6, 7]

node 5: parent = 4, depth = 2, leaf, []

node 6: parent = 4, depth = 2, leaf, []

node 7: parent = 4, depth = 2, internal node, [8, 9]

node 8: parent = 7, depth = 3, leaf, []

node 9: parent = 7, depth = 3, leaf, []

node 10: parent = 0, depth = 1, internal node, [11, 12]

node 11: parent = 10, depth = 2, leaf, []

node 12: parent = 10, depth = 2, leaf, []

SampleInput2:

4

1 3 3 2 0

0 0

3 0

2 0

SampleOutput2:

node 0: parent = 1, depth = 1, leaf, []

node 1: parent = -1, depth = 0, root, [3, 2, 0]

node 2: parent = 1, depth = 1, leaf, []

node 3: parent = 1, depth = 1, leaf, []

Codes:
//#define LOCAL

#include <cstdio>

#define N -1
#define M 100010
struct Node { int p, l, r; };
Node T[M]; int A[M]; void print(int a) {
int i = 0, b = T[a].l;
printf("node %d: parent = %d, depth = %d, ", a, T[a].p, A[a]);
if(T[a].p == N) printf("root, [");
else if(T[a].l == N) printf("leaf, [");
else printf("internal node, [");
for(; b!=N; ++i, b=T[b].r) {
if(i) printf(", ");
printf("%d", b);
}
printf("]\n");
} void rec(int a, int b) {
A[a] = b;
if(T[a].r != N) rec(T[a].r, b);
if(T[a].l != N) rec(T[a].l, b+1);
} int main()
{
#ifdef LOCAL
freopen("E:\\Temp\\input.txt", "r", stdin);
freopen("E:\\Temp\\output.txt", "w", stdout);
#endif int a, b, c, d, i, j, n, r;
scanf("%d", &n);
for(i=0; i<n; ++i) T[i].p = T[i].l = T[i].r = -1; for(i=0; i<n; ++i) {
scanf("%d%d", &a, &b);
for(j=0; j<b; ++j) {
scanf("%d", &c);
if(!j) T[a].l = c;
else T[d].r = c;
d = c; T[c].p = a;
}
}
for(i=0; i<n; ++i) {
if(T[i].p == N) { r = i; break; }
} rec(r, 0);
for(i=0; i<n; ++i) print(i); return 0;
}
ALDS1_7_B-BinaryTree.
Description:

A rooted binary tree is a tree with a root node in which every node has at most two children.

Your task is to write a program which reads a rooted binary tree T and prints the following information for each node u of T:

node ID of u

parent of u

sibling of u

the number of children of u

depth of u

height of u

node type (root, internal node or leaf)

If two nodes have the same parent, they are siblings. Here, if u and v have the same parent, we say u is a sibling of v (vice versa).

The height of a node in a tree is the number of edges on the longest simple downward path from the node to a leaf.

Here, the given binary tree consists of n nodes and evey node has a unique ID from 0 to n-1.

Input:

The first line of the input includes an integer n, the number of nodes of the tree.

In the next n lines, the information of each node is given in the following format:

id left right

id is the node ID, left is ID of the left child and right is ID of the right child. If the node does not have the left (right) child, the left(right) is indicated by -1.

Output:

Print the information of each node in the following format:

node id: parent = p , sibling = s , degree = deg, depth = dep, height = h, type

p is ID of its parent. If the node does not have a parent, print -1.

s is ID of its sibling. If the node does not have a sibling, print -1.

deg, dep and h are the number of children, depth and height of the node respectively.

type is a type of nodes represented by a string (root, internal node or leaf. If the root can be considered as a leaf or an internal node, print root.

Please follow the format presented in a sample output below.

Constraints:

1 ≤ n ≤ 25

SampleInput:

9

0 1 4

1 2 3

2 -1 -1

3 -1 -1

4 5 8

5 6 7

6 -1 -1

7 -1 -1

8 -1 -1

SampleOutput:

node 0: parent = -1, sibling = -1, degree = 2, depth = 0, height = 3, root

node 1: parent = 0, sibling = 4, degree = 2, depth = 1, height = 1, internal node

node 2: parent = 1, sibling = 3, degree = 0, depth = 2, height = 0, leaf

node 3: parent = 1, sibling = 2, degree = 0, depth = 2, height = 0, leaf

node 4: parent = 0, sibling = 1, degree = 2, depth = 1, height = 2, internal node

node 5: parent = 4, sibling = 8, degree = 2, depth = 2, height = 1, internal node

node 6: parent = 5, sibling = 7, degree = 0, depth = 3, height = 0, leaf

node 7: parent = 5, sibling = 6, degree = 0, depth = 3, height = 0, leaf

node 8: parent = 4, sibling = 5, degree = 0, depth = 2, height = 0, leaf

Codes:
//#define LOCAL

#include <cstdio>

#define MAX 10000
#define NIL -1
struct Node { int parent, left, right; };
Node T[MAX]; int n, D[MAX], H[MAX]; void setDepth(int u, int d) {
if(u == NIL) return;
D[u] = d;
setDepth(T[u].left, d+1);
setDepth(T[u].right, d+1);
} int setHeight(int u) {
int h1 = 0, h2 = 0;
if(T[u].left != NIL) h1 = setHeight(T[u].left)+1;
if(T[u].right != NIL) h2 = setHeight(T[u].right)+1;
return H[u] = h1>h2?h1:h2;
} int getSibling(int u) {
if(T[u].parent == NIL) return NIL;
if(T[T[u].parent].left!=u && T[T[u].parent].left!=NIL) return T[T[u].parent].left;
if(T[T[u].parent].right!=u && T[T[u].parent].right!=NIL) return T[T[u].parent].right;
return NIL;
} void print(int u) {
printf("node %d: parent = %d, sibling = %d, ", u, T[u].parent, getSibling(u));
int deg = 0;
if(T[u].left != NIL) ++deg;
if(T[u].right != NIL) ++deg;
printf("degree = %d, depth = %d, height = %d, ", deg, D[u], H[u]);
if(T[u].parent == NIL) printf("root\n");
else if(T[u].left==NIL && T[u].right==NIL) printf("leaf\n");
else printf("internal node\n");
} int main()
{
#ifdef LOCAL
freopen("E:\\Temp\\input.txt", "r", stdin);
freopen("E:\\Temp\\output.txt", "w", stdout);
#endif int i, v, l, r, root = 0;
scanf("%d", &n);
for(i=0; i<n; ++i) T[i].parent = NIL;
for(i=0; i<n; ++i) {
scanf("%d%d%d", &v, &l, &r);
T[v].left = l, T[v].right = r;
if(l != NIL) T[l].parent = v;
if(r != NIL) T[r].parent = v;
} for(i=0; i<n; ++i)
if(T[i].parent == NIL) root = i;
setDepth(root, 0); setHeight(root); for(i=0; i<n; ++i) print(i); return 0;
}
ALDS1_7_C-TreeWalk.
Description:

Binary trees are defined recursively. A binary tree T is a structure defined on a finite set of nodes that either

contains no nodes, or

is composed of three disjoint sets of nodes:

  • a root node.
  • a binary tree called its left subtree.
  • a binary tree called its right subtree.

    Your task is to write a program which perform tree walks (systematically traverse all nodes in a tree) based on the following algorithms:

Print the root, the left subtree and right subtree (preorder).

Print the left subtree, the root and right subtree (inorder).

Print the left subtree, right subtree and the root (postorder).

Here, the given binary tree consists of n nodes and evey node has a unique ID from 0 to n-1.

Input:

The first line of the input includes an integer n, the number of nodes of the tree.

In the next n linen, the information of each node is given in the following format:

id left right

id is the node ID, left is ID of the left child and right is ID of the right child. If the node does not have the left (right) child, the left(right) is indicated by -1

Output:

In the 1st line, print "Preorder", and in the 2nd line print a list of node IDs obtained by the preorder tree walk.

In the 3rd line, print "Inorder", and in the 4th line print a list of node IDs obtained by the inorder tree walk.

In the 5th line, print "Postorder", and in the 6th line print a list of node IDs obtained by the postorder tree walk.

Print a space character before each node ID.

Constraints:

1 ≤ n ≤ 25

SampleInput1:

9

0 1 4

1 2 3

2 -1 -1

3 -1 -1

4 5 8

5 6 7

6 -1 -1

7 -1 -1

8 -1 -1

SampleOutput1:

Preorder

0 1 2 3 4 5 6 7 8

Inorder

2 1 3 0 6 5 7 4 8

Postorder

2 3 1 6 7 5 8 4 0

Codes:
//#define LOCAL

#include <cstdio>

#define MAX 10000
#define NIL -1
struct Node { int p, l, r; };
Node T[MAX]; void preParse(int u) {
if(u == NIL) return;
printf(" %d", u);
preParse(T[u].l);
preParse(T[u].r);
} void inParese(int u) {
if(u == NIL) return;
inParese(T[u].l);
printf(" %d", u);
inParese(T[u].r);
} void postParse(int u) {
if(u == NIL) return;
postParse(T[u].l);
postParse(T[u].r);
printf(" %d", u);
} int main()
{
#ifdef LOCAL
freopen("E:\\Temp\\input.txt", "r", stdin);
freopen("E:\\Temp\\output.txt", "w", stdout);
#endif int n, i, v, l, r, root;
scanf("%d", &n);
for(i=0; i<n; ++i) T[i].p = NIL;
for(i=0; i<n; ++i) {
scanf("%d%d%d", &v, &l, &r);
T[v].l = l, T[v].r = r;
if(l != NIL) T[l].p = v;
if(r != NIL) T[r].p = v;
}
for(i=0; i<n; ++i)
if(T[i].p == NIL) root = i; printf("Preorder\n"); preParse(root);
printf("\nInorder\n"); inParese(root);
printf("\nPostorder\n"); postParse(root);
printf("\n"); return 0;
}
ALDS1_7_D-ReconstructionOfTheTree.
Codes:
#include <iostream>
#include <string>
#include <algorithm>
#include <vector>
using namespace std; int n, pos;
vector<int> pre, in, post; void rec(int l, int r) {
if(l >= r) return;
int root = pre[pos++];
int m = distance(in.begin(), find(in.begin(),in.end(),root));
rec(1, m);
rec(m+1, r);
post.push_back(root);
} void solve() {
pos = 0;
rec(0, pre.size());
for(int i=0; i<n; ++i) {
if(i) cout << " ";
cout << post[i];
}
cout << endl;
} int main()
{
int k;
cin >> n;
for(int i=0; i<n; ++i) {
cin >> k;
pre.push_back(k);
}
for(int i=0; i<n; ++i) {
cin >> k;
in.push_back(k);
} solve(); return 0;
}
ALDS1_8_A-BinarySearchTreeI
Codes:
//#define LOCAL

#include <cstdio>
#include <cstdlib> struct Node {
int k;
Node *p, *l, *r;
};
Node *N, *R; void insert(int u) {
Node *a = R, *b = N, *c;
c = (Node *)malloc(sizeof(Node));
c->k = u, c->l = N, c->r = N; while(a != N) {
b = a;
if(c->k < a->k) a = a->l;
else a = a->r;
}
c->p = b;
if(b == N) {
R = c;
} else {
if(c->k < b->k) b->l = c;
else b->r = c;
}
} void inOrder(Node *u) {
if(u == N) return;
inOrder(u->l);
printf(" %d", u->k);
inOrder(u->r);
} void preOrder(Node *u) {
if(u == N) return;
printf(" %d", u->k);
preOrder(u->l);
preOrder(u->r);
} int main()
{
#ifdef LOCAL
freopen("E:\\Temp\\input.txt", "r", stdin);
freopen("E:\\Temp\\output.txt", "w", stdout);
#endif int a, i, n;
char c[10];
scanf("%d", &n);
for(i=0; i<n; ++i) {
scanf("%s", c);
if(c[0] == 'i') {
scanf("%d", &a);
insert(a);
} else {
inOrder(R); printf("\n");
preOrder(R); printf("\n");
}
} return 0;
}
ALDS1_8_B-BinarySearchTreeII
Codes:
//#define LOCAL

#include <cstdio>
#include <cstdlib> struct Node {
int k;
Node *p, *l, *r;
};
Node *N, *R; Node* find(Node *u, int a) {
while(u!=N && a!=u->k) {
if(a < u->k) u = u->l;
else u = u->r;
}
} void insert(int u) {
Node *a = R, *b = N, *c;
c = (Node *)malloc(sizeof(Node));
c->k = u, c->l = N, c->r = N; while(a != N) {
b = a;
if(c->k < a->k) a = a->l;
else a = a->r;
}
c->p = b;
if(b == N) {
R = c;
} else {
if(c->k < b->k) b->l = c;
else b->r = c;
}
} void inOrder(Node *u) {
if(u == N) return;
inOrder(u->l);
printf(" %d", u->k);
inOrder(u->r);
} void preOrder(Node *u) {
if(u == N) return;
printf(" %d", u->k);
preOrder(u->l);
preOrder(u->r);
} int main()
{
#ifdef LOCAL
freopen("E:\\Temp\\input.txt", "r", stdin);
freopen("E:\\Temp\\output.txt", "w", stdout);
#endif int a, i, n;
char c[10];
scanf("%d", &n);
for(i=0; i<n; ++i) {
scanf("%s", c);
if(c[0] == 'f') {
scanf("%d", &a);
Node *t = find(R, a);
if(t != N) printf("yes\n");
else printf("no\n");
} else if(c[0] == 'i'){
scanf("%d", &a);
insert(a);
} else {
inOrder(R); printf("\n");
preOrder(R); printf("\n");
}
} return 0;
}

AOJ/树与二叉搜索树习题集的更多相关文章

  1. 树&二叉树&二叉搜索树

    树&二叉树 树是由节点和边构成,储存元素的集合.节点分根节点.父节点和子节点的概念. 二叉树binary tree,则加了"二叉"(binary),意思是在树中作区分.每个 ...

  2. 【数据结构与算法Python版学习笔记】树——平衡二叉搜索树(AVL树)

    定义 能够在key插入时一直保持平衡的二叉查找树: AVL树 利用AVL树实现ADT Map, 基本上与BST的实现相同,不同之处仅在于二叉树的生成与维护过程 平衡因子 AVL树的实现中, 需要对每个 ...

  3. AOJ/树二叉搜索树习题集

    ALDS1_7_A-RootedTree. Description: A graph G = (V, E) is a data structure where V is a finite set of ...

  4. 查找树ADT——二叉搜索树

    在以下讨论中,虽然任意复杂的关键字都是允许的,但为了简单起见,假设它们都是整数,并且所有的关键字是互异的. 总概   使二叉树成为二叉查找树的性质是,对于树中的每个节点X,它的左子树中所有关键字值小于 ...

  5. 数据结构中常见的树(BST二叉搜索树、AVL平衡二叉树、RBT红黑树、B-树、B+树、B*树)

    树 即二叉搜索树: 1.所有非叶子结点至多拥有两个儿子(Left和Right): 2.所有结点存储一个关键字: 非叶子结点的左指针指向小于其关键字的子树,右指针指向大于其关键字的子树: 如: BST树 ...

  6. PAT 天梯赛 L2-004 这是二叉搜索树吗?

    递归判断+建树 题目链接:https://www.patest.cn/contests/gplt/L2-004 题解 二叉搜索树的特点就是其根节点的值是位于左右子树之间的,即大于左子树的所有值,但是小 ...

  7. 剑指Offer 62. 二叉搜索树的第k个结点 (二叉搜索树)

    题目描述 给定一棵二叉搜索树,请找出其中的第k小的结点.例如, (5,3,7,2,4,6,8)    中,按结点数值大小顺序第三小结点的值为4. 例如, 5 / \ 3 7 / \ / \ 2 4 6 ...

  8. hdu 3791:二叉搜索树(数据结构,二叉搜索树 BST)

    二叉搜索树 Time Limit : 2000/1000ms (Java/Other)   Memory Limit : 32768/32768K (Java/Other) Total Submiss ...

  9. 二叉搜索树-php实现 插入删除查找等操作

    二叉查找树(Binary Search Tree),(又:二叉搜索树,二叉排序树)它或者是一棵空树,或者是具有下列性质的二叉树: 若它的左子树不空,则左子树上所有结点的值均小于它的根结点的值: 若它的 ...

随机推荐

  1. .net core signalR 服务端强制中断用户连接

    .net core signalR 服务端断开连接 { } { } *:first-child { } *:last-child { } { } { } { } { } { } { } { } { } ...

  2. Struts2与Hibernate整合

    时间:2017-1-26 02:00 1.创建一个Web项目2.导入jar包    3.引入配置文件    struts.xml    hibernate.cfg.xml    log4j.prope ...

  3. 使用Xshell连接虚机安装的vyOS

    本文主要讲解:使用虚机(Vitual Box)安装的vyOS,如何使用Xshell来通过ssh方式连接. 首先咱们安装vyOS 1.安装vyOS 先用Vitual Box安装vyOS镜像. 接下来的操 ...

  4. 🏆【JVM技术专区】「难点-核心-遗漏」TLAB内存分配+锁的碰撞(技术串烧)!

    JVM内存分配及申请过程 当使用new关键字或者其他任何方式进行创建一个类的对象时,JVM虚拟机需要为该对象分配内存空间,而对象的大小在类加载完成后已经确定了,所以分配内存只需要在Java堆中划分出一 ...

  5. 快速排序(C++)

    快速排序 快速排序是面试中经常问到的排序算法 基本思想:通过一趟排序将待排序记录分割成独立的两部分,其中一部分记录的关键字均比另一部分记录的关键字小, 则可分别对这两部分记录继续进行排序,以达到整个序 ...

  6. Spring Cloud Eureka 实践(二)

    接上一篇的内容,Eureka服务已经启动成功后,可以尝试开发服务的提供者与消费者,并注册到Eureka来实现服务的发现与调用. 首先,在父工程中继续创建服务提供者的Module,最新的目录结构如下图所 ...

  7. EL-ADMIN学习笔记

    一,支持接口限流,避免恶意请求导致服务层压力过大 常见的限流功能一般有两个关注点: 1.限流原则,即以什么样的条件对请求进行识别以及放行.常见的作法是给予每个调用API的系统不同的唯一编码,用于监控某 ...

  8. Vue指令及自定义指令的使用

    导航列表: 一.vue指令 二.自定义指令 一.vue指令 回到顶部    1. v-text v-text主要用来更新textContent,可以等同于JS的text属性,不会解析标签,会把标签解析 ...

  9. iOS之多语言开发

    前要:iOS多语言开发,可以分为两种 系统设置,通过在手机设置中切换语言,进而改变app中语言: app中手动切换,用户在app中,手动选择语言,进行切换. 一.添加需要的语言 不管使用哪种方法,都需 ...

  10. Django学习day08随堂笔记

    今日考题 """ 今日考题 1.聚合查询,分组查询的关键字各是什么,各有什么特点或者注意事项 2.F与Q查询的功能,他们的导入语句是什么,针对Q有没有其他用法 3.列举常 ...