Table of Contents
- 1 What is the limitations of BST with respect to performance?
- 2 What is a BST explain with an example what are its limitations?
- 3 What is advantage and disadvantage of binary tree?
- 4 Which of the following is not useful for binary search?
- 5 Which of the following is not a limitation of an array?
- 6 What are the disadvantages of tree in data structure?
- 7 What is time complexity of binary search algorithm?
- 8 How does binary search work in linear array?
What is the limitations of BST with respect to performance?
The problem with BST is that, depending on the order of inserting elements in the tree, the tree shape can vary. In the worst cases (such as inserting elements in order) the tree will look like a linked list in which each node has only a right child.
Which of the following is limitation of binary search Mcq?
Discussion Forum
Que. | Which of the following is not a limitation of binary search algorithm? |
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d. | binary search algorithm is not efficient when the data elements are more than 1000 |
Answer:binary search algorithm is not efficient when the data elements are more than 1000 |
What is a BST explain with an example what are its limitations?
BST is fast in insertion and deletion etc when balanced. Very efficient and its code is easier than link lists. Disadvantages: Shape of the tree depends upon order of insertion and it can be degenerated. Searching takes long time.
Which is the not a limitation of binary search algorithm?
binary search algorithm is not efficient when the data elements are more than 1000. Answer» a. binary search algorithm is not efficient when the data elements are more than 1000.
What is advantage and disadvantage of binary tree?
Compared to linear search (checking each element in the array starting from the first), binary search is much faster. Linear search takes, on average N/2 comparisons (where N is the number of elements in the array), and worst case N comparisons. Binary search takes an average and worst-case comparisons.
Which of the following are limitations of binary search algorithm?
Binary Search Algorithm Disadvantages-
- It employs recursive approach which requires more stack space.
- Programming binary search algorithm is error prone and difficult.
- The interaction of binary search with memory hierarchy i.e. caching is poor.
Which of the following is not useful for binary search?
Which of the following is not an application of binary search? Explanation: In Binary search, the elements in the list should be sorted. It is applicable only for ordered list. Hence Binary search in unordered list is not an application.
What are the drawbacks of AVL trees?
Disadvantages of AVL Trees
- As you can see, AVL trees are difficult to implement.
- In addition, AVL trees have high constant factors for some operations.
- Most STL implementations of the ordered associative containers (sets, multisets, maps and multimaps) use red-black trees instead of AVL trees.
Which of the following is not a limitation of an array?
Discussion Forum
Que. | Which of the following is not a disadvantage to the usage of array? |
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b. | You know the size of the array prior to allocation |
c. | Insertion based on position |
d. | Accessing elements at specified positions |
Answer:Accessing elements at specified positions |
What is the disadvantages of implementing tree?
What is/are the disadvantages of implementing tree using normal arrays? Explanation: The size of array is fixed in normal arrays. We need to know the number of nodes in the tree before array declaration. It is the main disadvantage of using arrays to represent binary trees.
What are the disadvantages of tree in data structure?
Disadvantage: A small change in the data can cause a large change in the structure of the decision tree causing instability. For a Decision tree sometimes calculation can go far more complex compared to other algorithms. Decision tree training is relatively expensive as the complexity and time has taken are more.
What are the disadvantages of binary search tree?
So you have to go through 10 elements i.e time complexity O (n) . It is working like searching in linear array . This is disadvantage . Bst is not balanced . In order to make it balance we have made avl trees which are balanced trees.
What is time complexity of binary search algorithm?
Time Complexity of Binary Search Algorithm is O (log2n). Here, n is the number of elements in the sorted linear array. This time complexity of binary search remains unchanged irrespective of the element position even if it is not present in the array. We are given the following sorted linear array.
When is it not possible to carry out binary search?
Under what circumstances are not possible to carry out a binary search? The most common case would be when your data is not in sort order. Sorting is typically an O ( N l g N) transaction, where linear search is O ( N).
How does binary search work in linear array?
There is a linear array ‘a’ of size ‘n’. Binary search algorithm is being used to search an element ‘item’ in this linear array. If search ends in success, it sets loc to the index of the element otherwise it sets loc to -1.