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.
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 15 of 32
Explore more Topics under Data Structures and Algorithms
WeightBalanceTreeNode insert(int x, int wt, WeightBalanceTreeNode k) :
if (k == null)
k = new WeightBalanceTreeNode(x, wt, null, null)
else if (x < t.element) :
k.left = insert (x, wt, k.left)
if (k.left.weight < k.weight)
k = rotateWithRightChild (k)
else if (x > t.element) :
k.right = insert (x, wt, k.right)
if (k.right.weight < k.weight)
k = rotateWithLeftChild (k)i. A binary tree is balanced if for every node it is gonna hold that the number of inner nodes in the left subtree and the number of inner nodes in the right subtree differ by at most 1.
ii. A binary tree is balanced if for any two leaves the difference of the depth is at most 1.
. root property is black
. every leaf is black
. children of red node are black
. all leaves have same black
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