Linked Lists Overview

<p>The last node points back to the first node (C)</p> Signup and view all the answers

<p>A data field and a next pointer (A)</p> Signup and view all the answers

<p>It points to the first node or is null if the list is empty (C)</p> Signup and view all the answers

<p>Binary search operations (D)</p> Signup and view all the answers

<p>O(n) (C)</p> Signup and view all the answers

<p>It requires starting from the beginning and moves in one direction only (A)</p> Signup and view all the answers

<p>O(n) (D)</p> Signup and view all the answers

<p>Insertion and deletion are efficient in linked lists. (A)</p> Signup and view all the answers

<p>Linked lists do not require contiguous allocation. (A)</p> Signup and view all the answers

<p>Traversal (A)</p> Signup and view all the answers

<p>When insertion and deletion operations are frequent (D)</p> Signup and view all the answers

<p>O(n) (C)</p> Signup and view all the answers

<p>They require more memory due to pointers. (A)</p> Signup and view all the answers

<p>They provide efficient random access. (A)</p> Signup and view all the answers

<p>Array (D)</p> Signup and view all the answers

<p>When random access is needed frequently. (D)</p> Signup and view all the answers

A linear data structure where each element (node) stores data and a reference (pointer) to the next node in the sequence. Nodes are not stored contiguously in memory.

A linked list where each node has a pointer to the next node, but not the previous node. Traversal is in one direction only.

A linked list where each node has pointers to both the next and previous nodes. Enables traversal in both directions.

A linked list where the last node points back to the first node, creating a circular chain.

Adding a new node to a linked list. This can be done at the beginning, middle, or end.

Removing a node from a linked list, which can be done at the beginning, middle, or end.

Finding a particular node in a linked list. This involves traversing the list until the desired node is found.

Visiting each node in a linked list, starting from the head node and following the next pointers.

A pointer that points to the first node in a linked list. It's used to access the list.

A pointer that points to the last node in a linked list. It's used to efficiently add and remove nodes at the end.

The time it takes to add a new element to the beginning or end of a linked list is constant, regardless of the size of the list.

Adding or removing an element at a specific position in the linked list involves traversing to that position, making the time dependent on the list's size.

Searching for a specific element in a linked list requires checking each node sequentially. The worse-case time is proportional to the number of nodes.

Traversing a linked list means visiting each node once. The time taken depends on the number of nodes, as you must visit them all.

Arrays store data in contiguous memory locations, allowing for efficient random access. You can directly access an element using its index.

Linked lists store data dynamically in potentially non-contiguous memory locations. Accessing an element requires traversing from the start until the desired element is found, making it inefficient.

Arrays have a fixed memory allocation, meaning the size is defined beforehand and cannot be easily changed. This can lead to waste if not all the space is used but can also lead to efficiency for accessing any element.

Linked lists have dynamic memory allocation, meaning they can grow or shrink as needed. They use individual nodes linked together, allowing for efficient insertion and deletion.

Linked lists excel at adding or removing elements, especially at the beginning or end. These operations are quick and efficient due to the way nodes are linked.

Arrays are less efficient for inserting or deleting elements, especially in the middle of the array. This is because the elements need to be shifted to accommodate the change.