Assignment No: 8 Heaps and Priority Queues Solution

This assignment deals with a max-heap (or max-priority queue) with each node storing multiple keys. Denote by p the key capacity of each node. The nodes are stored in the contiguous representation. Each node, except possibly the last, must be full (that is, must contain p keys). The keys in each node are stored in an array which is not needed to be sorted in any order (ascending or descending). The heap ordering property must hold, that is, if k is any key in any node, and k′ any key in any of its child nodes, then we must have k k′. Multiple keys of the same value may be present in (one or more) nodes of the heap. Let us call such a heap a multi-heap (although this term is used with a different meaning in other technical contexts). The following figure illustrates a multi-heap with n = 19 keys and with node capacity p = 4.













95














































































87
77




























4


Number of keys










































































84










































































































Node capacity
4














































































































































60




12
























33
12
60
47


Keys




































































51


47
Number of keys
19


































































48


33








































































51


60
Number of nodes
5












































































4








4








4








4








3








18 25


41 29


Array of nodes
































































































































































































33
30


45
















87
95
77
84




51
60
48
51




33
12
60
47




33
25
18
30




41
45
29






































































































































































































































































































































































































A max−heap with multiple keys per node
Representation of the multi−heap






























Multi-heap data structure




The right side of the above figure shows how you represent a multi-heap. Declare suitable user-defined data types for this representation. Assume that the keys are integers (positive if you like).




Multi-heap functions




Implement the following functions for a multi-heap.




initheap(p, nmax ) The user specifies the node capacity p and a maximum number nmax of keys that the multi-heap is meant to store. This function allocates appropriate memory to the array of nodes based upon nmax . It is your choice whether you make the indexing in this array zero-based or one-based. The function also sets the current number of keys to n = 0, and the current number of nodes in use

to N = 0. At any point of time, these two counts are related as N =
n


=
n +
p
−
1
. An empty






p


p




multi-heap initialized in this manner is to be returned by this function.




insert(H , x) This function is used to insert a key x to a heap. The procedure works as follows. If the last node is full, go to the next node and insert x there, else append x to the current last node. This insertion may violate the heap-ordering property. This is repaired by moving the disturbance up toward the root. Let the current node be q. If q is the root, we are done. Otherwise, let r be the parent node of q. Compute the minimum key rmin in r and the maximum key qmax in q. If rmin qmax , we are done. Otherwise, pick the largest p of the keys in r and q for relocating in r, and the remaining (smaller) keys for relocating in q. Then, proceed to r, and repeat.




findmax(H ) If H is a non-empty multi-heap, then the maximum key resides in the root node. Since the key arrays in nodes are not necessarily sorted, a linear (in p) max-finding algorithm suffices.




— Page 1 of 2 —
heapify(H , i) Modify the heapify procedure for binary heaps to work for multi-heaps. Compute the minimum key qmin at the current node, and the maximum keys lmax and rmax at the two child nodes (if present). If necessary, reallocate the keys, and move on to the appropriate child. The heapify function is to be used only by delmax, so you may assume that there is at most one key placed out of order in the node at which you heapify.




delmax(H ) Remove the largest key from the root node. If the root node is the last node, we are done.




Otherwise, move any key from the last node to the root node. Call heapify at the root.




prnheap(H ) This function prints a multi-heap in the format illustrated in the sample output.







The MAIN() function




The user enters the node capacity p and the total number n of keys to be inserted. Subsequently, the user supplies n keys. Store the keys in an array A.



Initialize a multi-heap H , and insert in H the keys stored in A one by one.



Print the multi-heap after all the insertions.



Keep on calling findmax, storing the returned value in A (from the end to beginning), and running delmax on H , until H becomes empty. Print the array A (from beginning to end).









Sample output




10






































128






































407
958
777
425
129
909
423
401
962
700
410
285
910
634
203
966
131
220
927
883
457
130
521
904
829
965
927
540
375
201
927
734
211
757
211
293
666
535
594
680
287
956
918
197
590
121
215
674
241
142
557
650
172
130
607
901
996
586
494
371
739
421
157
851
178
268
144
797
703
638
477
890
646
395
139
237
469
254
811
662
348
420
313
420
450
872
374
446
458
768
769
197
241
826
948
320
995
144
169
750
682
546
641
381
894
680
518
363
887
381
925
235
753
290
556
255
162
882
654
572
702
423
722
843
302
722
163
349



























+++ 128 insertions
made
















[
996
995
966
965
962
958
956
948
927
927
]
[
927
918
909
904
894
890
887
883
872
826
]
[
925
910
901
882
851
843
829
797
777
753
]
[
674
666
662
646
594
590
477
469
458
450
]
[
811
769
768
757
750
734
682
680
680
641
]
[
739
722
722
703
702
700
654
650
572
556
]
[
634
607
586
557
421
268
178
157
144
638
]
[
285
254
237
220
211
211
203
139
131
129
]
[
446
420
420
407
401
395
374
348
313
293
]
[
287
241
241
215
197
197
169
144
142
121
]
[
546
535
518
425
423
410
381
363
320
381
]
[
375
371
290
255
235
201
172
162
130
130
]
[
540
521
494
457
423
302
163
349




]



128 deletions made



Input array sorted



121
129
130
130
131
139
142
144
144
157
162
163
169
172
178
197
197
201
203
211
211
215
220
235
237
241
241
254
255
268
285
287
290
293
302
313
320
348
349
363
371
374
375
381
381
395
401
407
410
420
420
421
423
423
425
446
450
457
458
469
477
494
518
521
535
540
546
556
557
572
586
590
594
607
634
638
641
646
650
654
662
666
674
680
680
682
700
702
703
722
722
734
739
750
753
757
768
769
777
797
811
826
829
843
851
872
882
883
887
890
894
901
904
909
910
918
925
927
927
927
948
956
958
962
965
966
995
996




































Submit a single C/C++ source file. Do not use global/static variables.
















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