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Which data structure is best for insertion and deletion?

Posted on January 29, 2021 by Author

Table of Contents

  • 1 Which data structure is best for insertion and deletion?
  • 2 What data structure should be used if we have to implement insert and delete functions in a text editor the functions should be as fast as possible?
  • 3 Which data structure allows insertion and deletion at rear?
  • 4 Which of the following data structure is used to insert or remove the data in first last and any position?
  • 5 Which data structure allows the user to insert the data randomly?
  • 6 Which of the following data structure allows to insert a data element in the beginning and delete a element from the end?
  • 7 Which data structure allows the insertion and deletion from both ends but not in the middle?
  • 8 Which of the following data structure allows you to insert the elements from both the ends while deletion from only one end?
  • 9 How to design a data structure that supports insert/delete search and getrandom?
  • 10 What operations can be performed on a binary search tree?
  • 11 Which property helps to perform the searching in O(H) O( H)?

Which data structure is best for insertion and deletion?

4 Answers. A linked list provides efficient insertion and deletion of arbitrary elements.

What data structure should be used if we have to implement insert and delete functions in a text editor the functions should be as fast as possible?

A Rope data structure is a tree data structure which is used to store or manipulate large strings in a more efficient manner. It allows for operations like insertion, deletion, search and random access to be executed faster and much more efficiently in comparison to a traditional String.

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In which data structure we can perform random access operations like insertion and deletion?

There are two basic data structures: array and list. Array is a random access data structure but with an expensive line-time insert/erase operation. On the contrary, list is a sequential access data structure but it has fast constant-time insert/erase operation.

Which data structure allows insertion and deletion at rear?

Queue: A queue is a linear data structure in which elements can be inserted only from one side of the list called rear, and the elements can be deleted only from the other side called the front.

Which of the following data structure is used to insert or remove the data in first last and any position?

Stack is a LIFO(Last in First out) structure or we can say FILO(First in Last out). push() function is used to insert new elements into the Stack and pop() function is used to remove an element from the stack. Both insertion and removal are allowed at only one end of Stack called Top.

Which of the following data structures can erase from its beginning or its end in O 1 time?

Answer: Answer:Deleting the top element of a stack is O(1), which is valid because you only have access to the top of the stack. Hash tables also have amortized O(1) deletion for any element of the table.

Which data structure allows the user to insert the data randomly?

Stacks and Queues. An array is a random access data structure, where each element can be accessed directly and in constant time.

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Which of the following data structure allows to insert a data element in the beginning and delete a element from the end?

Queue allows insertion of data elements from rear and deletion from front.

Which data structure allows delete?

Discussion Forum

Que. Which data structure allows deleting data elements from and inserting at rear?
b. Queues
c. Dequeues
d. Binary search tree
Answer:Queues

Which data structure allows the insertion and deletion from both ends but not in the middle?

A data structure in which elements can be inserted or deleted at/from both ends but not in the middle is? Explanation: In dequeuer, we can insert or delete elements from both the ends. In queue, we will follow first in first out principle for insertion and deletion of elements.

Which of the following data structure allows you to insert the elements from both the ends while deletion from only one end?

Deque is also known as double ended queue. New items can be added at either the front or the rear Likewise existing item can be removed from either end.

Which of the following data structure allows you to insert the elements from both the ends while deletion from only one end *?

Q. Identify the data structure which allows deletions at both ends of the list but insertion at only one end.
B. output restricted qequeue
C. priority queues
D. stack
Answer» a. input restricted dequeue

How to design a data structure that supports insert/delete search and getrandom?

Design a data structure that supports insert, delete, search and getRandom in constant time 1 Check if x is already present by doing a hash map lookup. 2 If not present, then insert it at the end of the array. 3 Add in the hash table also, x is added as key and last array index as the index. More

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What operations can be performed on a binary search tree?

We have learned the basic operations to be performed on a binary search tree. Let’s learn to insert and delete nodes from a binary search tree so that we can make a binary search tree. We can’t insert any new node anywhere in a binary search tree because the tree after the insertion of the new node must follow the binary search tree property.

Why we can’t insert any new node anywhere in binary search tree?

We can’t insert any new node anywhere in a binary search tree because the tree after the insertion of the new node must follow the binary search tree property. To insert an element, we first search for that element and if the element is not found, then we insert it.

Which property helps to perform the searching in O(H) O( H)?

The property that all the values lesser than the value of a node lies on the left subtree and all the values greater than the value of a node lies on the right subtree helps to perform the searching in O(h) O ( h) time (where h is the height of the tree). Suppose we are on a node and the value to be searched is smaller than the value of the node.

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