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データ構造を理解するために、私はjavaでそれらを実装し始めました。deleteAllの時間複雑さはO(n + n^2)になります。deleteAllメソッドをどのように改善できますか？リンクリスト内の要素のすべての削除
/*
* Singly linked list
*/
package linkedlisttest;
class Node {
int data;
Node next;
public Node(int data) {
this.data = data;
}
}
class LinkedList {
Node head;
int size;
/**
*
* @param data element to add to list
* Time Complexity : O(n)
*/
public void add(int data) {
if (head == null) {
head = new Node(data);
size += 1;
return;
}
Node current = head;
while (current.next != null) {
current = current.next;
}
current.next = new Node(data);
size += 1;
}
/**
*
* @return size of list
* Time Complexity: O(1)
* This is because we use a class
* variable size to keep track of size of linked list
*/
public int getSize() {
return size;
}
/**
*
* @param data element to insert
* @param index position at which to insert the element (zero based)
* Time Complexity : O(n)
*/
public void add(int data, int index) {
if (index > getSize()) {
return; // invalid position
}
Node current = head; //iterate through whole list
int pos = 0;
Node newNode = new Node(data);
if (index == 0) // special case, since its a single reference change!
{
newNode.next = head;
head = newNode; // this node is now the head
size += 1;
return;
}
while (current.next != null) {
if (pos == index - 1) {
break;
}
pos++;
current = current.next;
}
// These are 2 reference changes, as compared to adding at index 0
newNode.next = current.next; // here we are changing a refernce
current.next = newNode; // changing a reference here as well
size += 1;
}
/**
* Find the first occurrence of an element
* @param data element to find
* @return index at which element is found , -1 if not exist
* Time Complexity: O(n)
*/
public int find(int data) {
Node current = head;
int pos = 0;
int index = -1;
if(head == null) { //empty list
return index;
}
while(current != null) {
if (current.data == data) {
index = pos;
break;
}
pos++;
current = current.next;
}
return index;
}
/**
* Delete the first occurrence of data
* @param data element to delete
* Time complexity : O(n)
*/
public void delete(int data) {
Node current = head;
if (head == null) { // list is empty
return;
}
if(head.data == data) { // if we want to delete the head , make next node head
head = head.next;
size -= 1;
return;
}
while(current.next != null) {
if (current.next.data == data) {
current.next = current.next.next;
size -= 1;
return;
}
current = current.next;
}
}
/**
* Delete all occurrences of data
* @param data element to delete
*
*/
public void deleteAll(int data) {
Node current = head;
if (head == null) { // list is empty
return;
}
//while loop to delete consecutive occurances of data
while(head.data == data) { // if we want to delete the head , make next node head
head = head.next;
size -= 1;
}
while(current.next != null) {
//while loop to delete consecutive occurances of data
while (current.next.data == data) {
current.next = current.next.next;
size -= 1;
}
current = current.next;
}
}
public void reverse() {
}
/**
* Prints the whole linked list
* Time Complexity : O(n)
*/
public void print() {
if(head == null) { //list is empty
return;
}
Node current = head;
while (current.next != null) {
System.out.print(current.data + "->");
current = current.next;
}
System.out.print(current.data + "\n");
}
}
public class LinkedListTest {
/**
* @param args the command line arguments
*/
public static void main(String[] args) {
LinkedList lt = new LinkedList();
lt.print();
lt.add(3);
lt.add(5);
lt.add(6);
lt.print();
lt.add(4, 1);
lt.print();
lt.add(4, 7);// 7 is an invalid index
lt.add(8, 3);
lt.add(8, 4);
lt.print();
System.out.println("Position : " + lt.find(8));
lt.delete(5);
lt.print();
lt.deleteAll(8);
lt.print();
System.out.println("Size : " + lt.getSize());
}
}
このコードが正常に動作している場合、この質問はスタックオーバーフローにオフトピックですが、私たちの姉妹サイト[コードレビュー]のために良いかもしれ（HTTPS ：//codereview.stackexchange.com/）。 –