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The heap shown in Figure 13.1 maps into the array shown Figure 13.2. For example, element 60 is at index i = 5, its parent is element 66 at index i/2 = 2, and its children are elements 58 and 25 at indexes 2i = 10 and 2i + 1=11.

1.45 1.46

The output is:

(a) Linear, shift-varying, stable, noncausal, noninvertible. (6) Linear, shift-varying, unstable, noncausal, invertible. ( c ) Linear, shift-invariant, stable. noncausal, invertible. (d) Nonlinear, shift-invariant, stable, causal, invertible. ( 0 ) Nonlinear, shift-invariant, stable, noncausal, noninvertible. (a) la1

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The natural mapping between a complete binary tree and an array is a two-way correspondence. To map the array elements back into a complete binary tree, simply number the tree nodes consecutively in a level-order traversal beginning with number 1 at the root. Then copy the array element at index i into the tree node numbered i. The locations for those indexes are shown in Figure 13.3. If the resulting tree has the heap property, then we also say that the array has the heap property.

1.50 1.51

Cal(33) Ann(44) Don(66) Bob(99)

No. Consider the system y(n) = x(n)cos(nr/2).

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To determine whether this array has the heap property, we first map it into a binary tree, and then check each root-to-leaf path. The root-to-leaf path {88, 66, 44, 51} shown in Figure 13.4 is not descending because 44 < 51. Hence, the tree does not have the heap property. Therefore, the array does not have the heap property.

1.53 1.54

The priority queue pq defined at line 3 stores instances of the Student class that is defined at line 14. That class is declared to implement the Comparable interface, which obliges it to define a compareTo() method. That method, defined at line 23, uses the credits field of the Student objects to compare them. Students with more credits have higher priority. The print loop at line 8 is the same as the one in Example 13.6: It applies the priority queue s remove() method to remove and print the elements according to their ascending priority levels, independently of their insertion order (except for equal priorities).

(a) Yes. (6) No. ( c ) No. The sequence values. beginning at index n = -I, are y(n) = {2,0, -4, 1,6,0, I , -1, -2,6,3).

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An array with the heap property is partially ordered. That means that most of the larger keys come before most of the smaller keys. More precisely, it means that every heap-path subarray is sorted in descending order, where a heappath subarray is a subsequence of array elements in which each index number is half Figure 13.4 Checking the heap property that of its successor. For example, {a[1], a[2], a[5], a[11], a[22], a[45], a[90], a[180]} would be a heap-path subarray of an array a[] of 200 elements. The heap sort algorithm (Algorithm 14.8 on page 266) exploits this fact to obtain a fast and efficient method for sorting arrays. INSERTION INTO A HEAP Elements are inserted into a heap next to its right-most leaf at the bottom level. Then the heap property is restored by percolating the new element up the tree until it is no longer older (i.e., its key is greater) than its parent. On each iteration, the child is swapped with its parent. EXAMPLE 13.4 Inserting into a Heap

(a) s(n) =

13.1 13.2 13.3 13.4 13.5 13.6 13.7 What are the two main applications of heaps How efficient are insertions into and removals from a heap Why is a priority queue called a BIFO container What is the difference between a queue and a priority queue Why are heaps used to implement priority queues In the natural mapping of a binary tree into an array a[], why do we start at a[1] instead of at a[0] If it takes an average of 3ms to remove an element from a priority queue with 1,000 elements, how long would you expect it to take to remove an element from a priority queue with 1,000,000 elements Suppose a method is devised to sort an array by storing its element in a priority queue and then removing them back into the array. What is the run time for such an algorithm

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