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 28 of 32
Explore more Topics under Data Structures and Algorithms
mergeTree(p,q)
if p.root.value <= q.root.value
return p.addTree(q)
else
return q.addTree(p)int myfun(heap_arr[])
{
int mini=INF;
for(int i=0;i<tot_node;i++)
mini=min(mini,heap_arr)
return mini;
}Choose the correct option
FIB-INSERT(H, x)
degree[x]= 0
p[x]= NIL
child[x] =NIL
left[x] =x
right[x] =x
mark[x] =FALSE
concatenate the root list containing x with root list H
if min[H] = NIL or key[x] > key[min[H]]
then min[H]= x
n[H]= n[H] + 1FIB_UNION(H1,H2)
{
H =MAKE_HEAP()
min[H]= min[H1]
concatenate the root list of H2 with the root list of H
if (min[H1] = NIL) or (min[H2]!= NIL and min[H2] < min[H1])
then min[H] = min[H2]
n[H]= n[H1] + n[H2]
free the objects H1 and H2
return H
}Suggested Topics
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