Suppose we use a 0-based array h[] to implement a heap of 200 elements. If an element of the heap is stored in h[71], the parent of this element can be found at h[]? Suppose we use a 0-based array h[] to implement a heap of 200 elements. If an element of the heap is stored in h[71], the left child of this element can be found at h[]? Suppose we use a 0-based array h[] to implement a heap of 200 elements. If an element of the heap is stored in h[71], the right child of this element can be found at h[]?

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Suppose we use a 0-based array h[] to implement a heap of 200 elements. If an element of the heap is stored in h[71], the parent of this element can be found at h[]?
Suppose we use a 0-based array h[] to implement a heap of 200 elements. If an element of the heap is stored in h[71], the left child of this element can be found at h[]?
Suppose we use a 0-based array h[] to implement a heap of 200 elements. If an element of the heap is stored in h[71], the right child of this element can be found at h[]?
 
Expert Solution
Step 1:
  • Heap Tree - It is a non linear data structure or tree based data structure which stores the elements of tree in a specific order.
  • Formula for calculating parent node index value, left child index value and right child index value :
  • Let 
  • n - Number of elements in an array
  • i - arbitrary index value f array which stores the heap elements
  • The index of array starts with zero so it will execute the loop from 0 to n-1 then element 'x' having index 'i' has its -
  • Parent at index = floor( ( i-1 )/2 )
  • Left Child at index = [ 2 * i ]+1
  • Right Child at index = [ 2 * i ]+2
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