定義
線段樹是一種二叉搜索樹,與區間樹相似,它將一個區間劃分成一些單元區間,每個單元區間對應線段樹中的一個葉結點。
使用線段樹可以快速的查找某一個節點在若干條線段中出現的次數,時間複雜度爲O(logN)。而未優化的空間複雜度爲2N,實際應用時一般還要開4N的數組以免越界,因此有時需要離散化讓空間壓縮。
代碼實現
package com.company;
public class SegmentTree<E> {
private E[] tree;
private E[] data;
private Merger<E> merger;
public SegmentTree(E[] arr, Merger<E> merger) {
this.merger = merger;
data = (E[]) new Object[arr.length];
for (int i = 0; i < arr.length; i++) {
data[i] = arr[i];
}
tree = (E[]) new Object[4 * arr.length];
bulidSegmentTree(0, 0, data.length - 1);
}
// 在treeIndex的位置創建表示區間[l...r]的線段樹
private void bulidSegmentTree(int treeIndex, int l, int r) {
if (l == r) {
tree[treeIndex] = data[l];
return;
}
int leftTreeIndex = leftChild(treeIndex);
int rightTreeIndex = rightChild(treeIndex);
int mid = l + (r - l) / 2;
bulidSegmentTree(leftTreeIndex, l, mid);
bulidSegmentTree(rightTreeIndex, mid + 1, r);
tree[treeIndex] = merger.merge(tree[leftTreeIndex], tree[rightTreeIndex]);
}
public int getSize() {
return data.length;
}
public E get(int index) {
if (index < 0 || index > data.length) {
throw new IllegalArgumentException("Index is illegal.");
}
return data[index];
}
public int leftChild(int index) {
return 2 * index + 1;
}
public int rightChild(int index) {
return 2 * index + 2;
}
// 在tree中查找區間[l...r]
public E query(int queryL, int queryR) {
if (queryL < 0 || queryL >= data.length || queryR < 0 || queryR >= data.length || queryL > queryR) {
throw new IllegalArgumentException("Index is illegal.");
}
return query(0, 0, data.length - 1, queryL, queryR);
}
private E query(int treeIndex, int l, int r, int queryL, int queryR) {
if (l == queryL && r == queryR) {
return tree[treeIndex];
}
int mid = l + (r - l) / 2;
int leftChildIndex = leftChild(treeIndex);
int rightChildIndex = rightChild(treeIndex);
if (queryL >= mid + 1) {
return query(rightChildIndex, mid + 1, r, queryL, queryR);
} else if (queryR <= mid + 1) {
return query(leftChildIndex, l, mid, queryL, queryR);
} else {
E leftResult = query(leftChildIndex, l, mid, queryL, mid);
E rightResult = query(rightChildIndex, mid + 1, r, mid + 1, queryR);
return merger.merge(leftResult, rightResult);
}
}
public void set(int index, E e) {
if (index < 0 || index >= data.length) {
throw new IllegalArgumentException("Index is illegal.");
}
data[index] = e;
set(0, 0, data.length - 1, index, e);
}
private void set(int treeIndex, int l, int r, int index, E e) {
if (l == r) {
data[treeIndex] = e;
return;
}
int mid = l + (r - l) / 2;
int leftChildIndex = leftChild(treeIndex);
int rightChildIndex = rightChild(treeIndex);
if (index >= mid + 1) {
set(rightChildIndex, mid+1, r, index, e);
} else {
set(leftChildIndex, l, mid, index, e);
}
tree[treeIndex] = merger.merge(tree[leftChildIndex], tree[rightChildIndex]);
}
@Override
public String toString() {
StringBuilder res = new StringBuilder();
res.append('[');
for (int i = 0; i < tree.length; i++) {
if (tree[i] != null) {
res.append(tree[i]);
} else {
res.append("null");
}
if (i != tree.length - 1) {
res.append(',');
} else {
res.append(']');
}
}
return res.toString();
}
}
區域和檢索 - 數組不可變
public class NumArray {
private int[] sum;
private int[] data;
public NumArray(int[] nums) {
data = new int[nums.length];
for (int i = 0; i < data.length; i++) {
data[i] = nums[i];
}
sum = new int[nums.length + 1];
sum[0] = 0;
for (int i = 1; i < sum.length; i++){
sum[i] = sum[i - 1] + nums[i - 1];
}
}
public void update(int index, int val) {
data[index] = val;
for (int i = index; i < sum.length ; i++) {
sum[i] = sum[i - 1] + data[i - 1];
}
}
public int sumRange(int i ,int j) {
return sum[j + 1] - sum[i];
}
}
區域和檢索 - 數組可修改
class NumArray {
private int[] sum;
private int[] data;
public NumArray(int[] nums) {
data = new int[nums.length];
for (int i = 0; i < data.length; i++) {
data[i] = nums[i];
}
sum = new int[nums.length + 1];
sum[0] = 0;
for (int i = 1; i < sum.length; i++){
sum[i] = sum[i - 1] + nums[i - 1];
}
}
public void update(int i, int val) {
data[i] = val;
for (int j = i + 1; j < sum.length ; j++) {
sum[j] = sum[j - 1] + data[j - 1];
}
}
public int sumRange(int i ,int j) {
return sum[j + 1] - sum[i];
}
}