Lista legată individual în structurile de date

⚡ Rezumat inteligent

Singly Linked List is a linear, unidirectional data structure where each node stores data and a single pointer to the next node, so traversal moves head-to-tail only and memory is allocated dynamically as new nodes get added.

  • 🧩 Structura nodului: Each node holds one data field and one următor pointer to the following node; the tail node’s următor pointer is NULL.
  • 📦 List vs Array: Singly Linked Lists are preferred when the element count is unknown, random access is not required, and mid-list insertion is common.
  • Inserții: Nodes can be added at the head, at the tail, after a matched node, or before a matched node using next-pointer rewrites.
  • Ștergeri: Removing the head, tail, or a searched node updates neighbor pointers and frees the released memory to avoid leaks.
  • 🔁 Traversare: Only forward traversal is supported because there is no previous pointer, so reverse walking a Singly Linked List is not possible.
  • 💻 C++ și Python Code: Complete implementations show insert, delete, search, and traverse routines with runnable output.
  • 📊 Complexitate: Head insertion or deletion is O(1); search and other insertions and deletions are O(n); space complexity is O(n).

Lista legată individual

Ce este o listă legată individual?

Singly Linked List is a linear and unidirectional data structure where data is saved on the nodes, and each node is connected via a link to its next node. Each node contains a data field and a link to the next node. Singly Linked Lists can be traversed in only one direction, whereas a Listă dublu legată can be traversed in both directions.

Here is the node structure of a Singly Linked List:

Structura unui nod într-o listă legată

Structura unui nod într-o listă legată

Why Use a Linked List Over an Array?

Several scenarios favor a Linked List over an Mulțime:

  • Număr necunoscut de elemente: When the required element count is not known at compile time, a Linked List allocates memory dynamically as elements get added.
  • Acces aleator: When random indexed access is not needed, a Linked List is a suitable choice.
  • Inserare la mijloc: Inserting in the middle of an array requires shifting elements. A Linked List allows insertion at any position by rewriting only a few pointers.

Operalistei cu legături individuale

A Singly Linked List is good for dynamically allocating memory. It supports the standard operations of the linked list, i.e., insertion, deletion, searching, updating, merging two lists, and traversing.

The following operations are discussed in this article:

  • Inserarea la cap
  • Inserarea la coada
  • Inserarea după un nod
  • Inserarea înaintea unui nod
  • Ștergeți nodul principal
  • Ștergeți nodul de coadă
  • Căutați și ștergeți un nod
  • Parcurgerea listei conectate

Here is an example of a linked list with four nodes.

Exemplu de listă legată individual

Exemplu de listă legată individual

Insertion at the Head of a Singly Linked List

This is a simple operation. It is generally known as pushing onto a Singly Linked List. A new node is created and placed at the head of the list.

To perform this operation, follow two important conditions:

  1. If the list is empty, the newly created node becomes the head node, and its următor pointer is NULL.
  2. If the list is not empty, the new node becomes the head node, and its următor pointer points to the previous head node.

Here is the pseudo-code for inserting a node at the head of a linked list:

function insertAtHead(head, value):
  newNode = Node(value)
  if head is NULL:
    head = newNode
    return head
  else:
    newNode.next = head
    return newNode

Inserarea la Cap

Inserarea la cap

Insertion at the End of a Singly Linked List

Inserting a node at the end of a linked list is similar to inserting at the head. Traverse to the tail node, then point its următor pointer to the new node. If the head is NULL, the new node becomes the head.

Pas 1) Traverse until the următor pointer of the current node becomes NULL.

Pas 2) Creați un nou nod cu valoarea specificată.

Pas 3) Atribuiți noul nod ca următor nod al nodului de coadă.

The pseudo-code for inserting at the tail of a singly list:

function insertAtEnd(head, value):
  newNode = Node(value)
  if head is NULL:
    head = newNode
    return head
  while head.next is not NULL:
    head = head.next
  head.next = newNode
  newNode.next = NULL

Inserarea la coadă

Inserarea la coada

Insertion After a Node in a Singly Linked List

Inserting after a node has two parts: search for the target node and attach a new node after it. Traverse the list until a match is found, then splice the new node in.

Pas 1) Traverse until the value of the current node equals the search item.

Pas 2) Set the new node’s următor pointer to the current node’s următor indicator.

Pas 3) Point the current node’s următor pointer to the new node.

Pseudocod:

function insertAfter(head, value, searchItem):
  newNode = Node(value)
  while head.value != searchItem:
    head = head.next
  newNode.next = head.next
  head.next = newNode

Inserarea unui nod după un nod în lista legată individual

Inserarea unui nod după un nod în Singly Linked List

Insertion Before a Node in a Singly Linked List

This is similar to insertion after a node. Traverse until the next node matches the search value, then insert the new node before it.

Pas 1) Traversați până când valoarea nodului următor este egală cu elementul de căutare.

Pas 2) Create a new node and set its următor pointer to the current node’s următor.

Pas 3) Point the current node’s următor to the new node.

function insertBefore(head, value, searchItem):
  newNode = Node(value)
  while head.next.value != searchItem:
    head = head.next
  newNode.next = head.next
  head.next = newNode

Inserarea unui nod înaintea unui nod în lista legată individual

Inserarea unui nod înaintea unui nod în Singly Linked List

Delete the Head of the Singly Linked List

The head pointer is provided as the parameter. The head node is removed, and the next node becomes the new head. The memory of the deleted node must be freed to avoid memory leaks.

Pas 1) Assign the next node of the head as the new head.

Pas 2) Free the allocated memory of the previous head node.

Pas 3) Reveniți noul nod principal.

function deleteHead(head):
  temp = head
  head = head.next
  free(temp)
  return head

Ștergerea capului unei liste conectate

Ștergerea capului unei liste conectate

Delete the Tail of the Singly Linked List

Deleting the tail node is similar to deleting the head node. The difference is that traversal to the end of the list is required. In a Singly Linked List, the node whose următor pointer is NULL is the tail node.

Pas 1) Traverse until just before the tail node. Save the current node.

Pas 2) Free the memory of the next node (the tail).

Pas 3) Set the next node of the current node to NULL.

function deleteTail(head):
  while head.next.next is not NULL:
    head = head.next
  free(head.next)
  head.next = NULL

Ștergerea coadei listei cu legături individuale

Ștergerea coadei listei cu legături individuale

Search and Delete a Node from a Singly Linked List

This function performs two tasks: search and delete. Traverse until the end of the list. If a matching node is found, remove it and relink the previous node’s următor indicator.

Pas 1) Traverse until the end of the list. Check whether the current node equals the search node.

Pas 2) If a match is found, store a pointer to the current node.

Pas 3) următor of the previous node becomes the next node of the current node.

Pas 4) Delete the current node and free its memory.

function searchAndDelete(head, searchItem):
  while head.next.next is not NULL and head.next.value != searchItem:
    head = head.next
  temp = head.next
  head.next = head.next.next
  free(temp)

Căutați și ștergeți un nod din lista legată individual

Căutați și ștergeți un nod din Lista conexă individual

Traverse a Singly Linked List

A Singly Linked List only supports traversal from head to tail. There is no pointer to the previous node, so reverse traversal is not possible. Each node is visited in turn, printing its value until NULL is reached.

Pas 1) Traverse each node until NULL is reached.

Pas 2) Tipăriți valoarea nodului curent.

function traverse(head):
  while head is not NULL:
    print head.value
    head = head.next

Exemplu de listă conectată individual în C++

#include<iostream>
using namespace std;
struct Node{
  int data;
  struct Node *next;
};
void insertAtHead(Node* &head, int value){
  Node* newNode = new Node();
  newNode->data = value;
  newNode->next = NULL;
  if(head != NULL){
    newNode->next = head;
  }
  head = newNode;
  cout<<"Added "<<newNode->data<<" at the front"<<endl;
}
void insertEnd(Node* &head, int value){
  if(head == NULL){
    insertAtHead(head, value);
    return;
  }
  Node* newNode = new Node();
  newNode->data = value;
  newNode->next = NULL;
  Node *temp = head;
  while(temp->next != NULL){
    temp = temp->next;
  }
  temp->next = newNode;
  cout<<"Added "<<newNode->data<<" at the end"<<endl;
}
void searchAndDelete(Node **headPtr, int searchItem){
  Node *temp = NULL;
  if((*headPtr)->data == searchItem){
    temp = *headPtr;
    *headPtr = (*headPtr)->next;
    free(temp);
  } else {
    Node *currentNode = *headPtr;
    while(currentNode->next != NULL){
      if(currentNode->next->data == searchItem){
        temp = currentNode->next;
        currentNode->next = currentNode->next->next;
        free(temp);
        break;
      } else {
        currentNode = currentNode->next;
      }
    }
  }
  cout<<"Deleted Node\t"<<searchItem<<endl;
}
void insertAfter(Node* &headPtr, int searchItem, int value){
  Node* newNode = new Node();
  newNode->data = value;
  newNode->next = NULL;
  Node *head = headPtr;
  while(head->next != NULL && head->data != searchItem){
    head = head->next;
  }
  newNode->next = head->next;
  head->next = newNode;
  cout<<"Inserted "<<value<<" after node\t"<<searchItem<<endl;
}
void insertBefore(Node* &headPtr, int searchItem, int value){
  Node* newNode = new Node();
  newNode->data = value;
  newNode->next = NULL;
  Node *head = headPtr;
  while(head->next != NULL && head->next->data != searchItem){
    head = head->next;
  }
  newNode->next = head->next;
  head->next = newNode;
  cout<<"Inserted "<<value<<" before node\t"<<searchItem<<endl;
}
void traverse(Node *headPointer){
  Node* tempNode = headPointer;
  cout<<"Traversal from head:\t";
  while(tempNode != NULL){
    cout<<tempNode->data;
    if(tempNode->next)
      cout<<" --> ";
    tempNode = tempNode->next;
  }
  cout<<endl;
}
int main(){
  Node *head = NULL;
  insertAtHead(head, 5);
  insertAtHead(head, 6);
  insertAtHead(head, 7);
  insertEnd(head, 9);
  traverse(head);
  searchAndDelete(&head, 6);
  traverse(head);
  insertAfter(head, 7, 10);
  insertBefore(head, 9, 11);
  traverse(head);
}

producție

Added 5 at the front
Added 6 at the front
Added 7 at the front
Added 9 at the end
Traversal from head:    7 --> 6 --> 5 --> 9
Deleted Node    6
Traversal from head:    7 --> 5 --> 9
Inserted 10 after node  7
Inserted 11 before node 9
Traversal from head:    7 --> 10 --> 5 --> 11 --> 9

Exemplu de listă conectată individual în Python

class Node:
  def __init__(self, data=None, next=None):
    self.data = data
    self.next = next
class SinglyLinkedList:
  def __init__(self):
    self.head = None
  def insertAtHead(self, value):
    newNode = Node(data=value)
    if self.head is not None:
      newNode.next = self.head
    self.head = newNode
    print(f'Added {newNode.data} at the front.')
  def insertAtEnd(self, value):
    if self.head is None:
      self.insertAtHead(value)
      return
    newNode = Node(value)
    temp = self.head
    while temp.next is not None:
      temp = temp.next
    temp.next = newNode
    print(f'Added {newNode.data} at the end.')
  def searchAndDelete(self, searchItem):
    if self.head is None:
      return
    if self.head.data == searchItem:
      self.head = self.head.next
      print(f'Deleted node\t{searchItem}')
      return
    currentNode = self.head
    while currentNode.next is not None:
      if currentNode.next.data == searchItem:
        currentNode.next = currentNode.next.next
        print(f'Deleted node\t{searchItem}')
        return
      currentNode = currentNode.next
  def insertAfter(self, searchItem, value):
    newNode = Node(data=value)
    temp = self.head
    while temp.next is not None and temp.data != searchItem:
      temp = temp.next
    newNode.next = temp.next
    temp.next = newNode
    print(f'Inserted {value} after node\t{searchItem}')
  def insertBefore(self, searchItem, value):
    newNode = Node(data=value)
    temp = self.head
    while temp.next is not None and temp.next.data != searchItem:
      temp = temp.next
    newNode.next = temp.next
    temp.next = newNode
    print(f'Inserted {value} before node\t{searchItem}')
  def traverse(self):
    temp = self.head
    print("Traversing from head:\t", end="")
    while temp:
      print("{}\t".format(temp.data), end="")
      temp = temp.next
    print()
singlyLinkedList = SinglyLinkedList()
singlyLinkedList.insertAtHead(5)
singlyLinkedList.insertAtHead(6)
singlyLinkedList.insertAtHead(7)
singlyLinkedList.insertAtEnd(9)
singlyLinkedList.traverse()
singlyLinkedList.searchAndDelete(6)
singlyLinkedList.traverse()
singlyLinkedList.insertAfter(7, 10)
singlyLinkedList.insertBefore(9, 11)
singlyLinkedList.traverse()

producție

Added 5 at the front.
Added 6 at the front.
Added 7 at the front.
Added 9 at the end.
Traversing from head:   7       6       5       9
Deleted node    6
Traversing from head:   7       5       9
Inserted 10 after node  7
Inserted 11 before node 9
Traversing from head:   7       10      5       11      9

Complexitatea listei legate individual

There are two kinds of complexity: time complexity and space complexity. The worst and average case time complexity are the same for a Singly Linked List.

Best-case time complexity:

  • Insertion at the head can be done in O(1). No traversal inside the list is required.
  • Search and delete can be done in O(1) if the target element is at the head node.

Average-case time complexity:

  • Insertion inside a linked list takes O(n), where n is the total number of elements.
  • Search and delete can take O(n) too, because the target element can reside anywhere up to the tail node.

Space complexity of Singly Linked List

A Singly Linked List dynamically allocates memory. To store n elements, it allocates n memory units. So the space complexity is O(n).

Applications of Singly Linked List

Singly Linked Lists appear in many places where forward-only traversal and dynamic memory are useful:

  • Stacks and queues: Underlying storage for LIFO stacks and FIFO queues built from nodes.
  • Hash table chaining: Collisions are resolved by chaining entries into a Singly Linked List per bucket.
  • Adjacency lists: Sparse graphs use a Singly Linked List of neighbors for each vertex.
  • Tabele de simboluri: Compilers and interpreters chain identifiers into a Singly Linked List per scope.
  • Memory allocators: Free-list allocators track free blocks as a Singly Linked List.

Întrebări frecvente

Singly Linked Lists chain training samples, mini-batches, and free memory blocks inside AI frameworks, enabling dynamic queues for streaming inputs and lock-free data pipelines that scale with model demand.

Yes. GitHub Copilot and GPT can produce a full Singly Linked List in C, C++, Java, Python, JavaScript, including insertion, deletion, reversal, cycle detection, and unit tests.

A Singly Linked List has one next pointer and traverses forward only. A Doubly Linked List has both next and prev pointers and traverses both directions but uses more memory per node.

Common uses include stack and queue implementations, hash-table chaining, adjacency lists for sparse graphs, symbol tables in compilers, free-list allocators, and undo history in lightweight editors.

Insertion or deletion at the head is O(1). Insertion at the tail, search, insertion at a position, and deletion of a specific node all cost O(n) because traversal is required from the head.

Linked Lists grow and shrink at runtime, insert or delete in O(1) once the position is known, and never need contiguous memory. Arrays offer O(1) random access and better cache locality.

Walk the list with three pointers, prev, curr, and next. On each step, save curr.next, point curr.next to prev, and shift prev and curr forward. Return prev as the new head.

Floyd’s tortoise-and-hare algorithm uses two pointers moving at different speeds. If they ever meet, the list contains a cycle. Otherwise, the fast pointer reaches NULL and no cycle exists.

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