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Welcome to the Trees MCQs Page

Dive deep into the fascinating world of Trees with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Trees, a crucial aspect of Data Structures and Algorithms. In this section, you will encounter a diverse range of MCQs that cover various aspects of Trees, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Data Structures and Algorithms.

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Check out the MCQs below to embark on an enriching journey through Trees. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Data Structures and Algorithms.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Trees. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Trees MCQs | Page 24 of 32

Discuss
Answer: (a).self adjusting binary search trees
Discuss
Answer: (b).any sequence of j operations starting from an empty tree with h nodes atmost, takes O(jlogh) time complexity
Discuss
Answer: (c).easier to program and faster access to recently accessed items
Q234.
Is it true that splay trees have O(logn) amortized complexity ?
Discuss
Answer: (a).true
Discuss
Answer: (b).moving a node to root
Q236.
Which of the following options is an application of splay trees?
Discuss
Answer: (a).cache Implementation
Discuss
Answer: (b).In real time it is estimated that 80% access is only to 20% data, hence most used ones must be easily available
Q238.
What output does the below pseudo code produces?
Tree_node function(Tree_node x)
    {
        Tree_node y = x.left;
        x.left = y.right;
        y.right = x;
        return y;
    }
Discuss
Answer: (a).right rotation of subtree
Discuss
Answer: (a).height of a splay tree can be linear when accessing elements in non decreasing order.
Discuss
Answer: (d).a binary tree traversal without using stacks and queues

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