Merging K Sorted Linked Lists, Why is Complexity O(N * K * K), not O(N * K)












1















I have the following solution, but I'm hearing from other reviewers that it is O(N * K * K), not O(N * K) where N is the (max) length of the K lists and K is the number of lists. For example, given the lists [1, 2, 3] and [4, 5], N is 3 and K is 2.



/**
* Definition for singly-linked list.
* public class ListNode {
* int val;
* ListNode next;
* ListNode(int x) { val = x; }
* }
*/
class Solution {
private void advance(final ListNode listNodes, final int index) {
listNodes[index] = listNodes[index].next;
}

public ListNode mergeKLists(final ListNode listNodes) {
ListNode sortedListHead = null;
ListNode sortedListNode = null;

int associatedIndex;

do {
int minValue = Integer.MAX_VALUE;
associatedIndex = -1;

for (int listIndex = 0; listIndex < listNodes.length; listIndex++) {
final ListNode listNode = listNodes[listIndex];

if (listNode != null && listNode.val < minValue) {
minValue = listNode.val;
associatedIndex = listIndex;
}
}

if (associatedIndex != -1) {
if (sortedListNode == null) {
sortedListNode = new ListNode(minValue);
sortedListHead = sortedListNode;
}
else {
sortedListNode.next = new ListNode(minValue);
sortedListNode = sortedListNode.next;
}

advance(listNodes, associatedIndex);
}
}
while (associatedIndex != -1);

return sortedListHead;
}
}


My reasoning is that the body of the do-while loop will occur N times (as the do-while loop's stop condition is fulfilled when the longest list has been iterated through), while the do-while loop's for loop's body will occur K times (listNodes.length), yielding O(n * k).



Why is the above solution O(n * k * k) instead?










share|improve this question


















  • 2





    The outer loop is executed N * K times and the inner loop is executed K times

    – Patrick Roberts
    Nov 24 '18 at 2:21











  • @PatrickRoberts Why is the outer loop executed N * K times?

    – TheeNinjaDev
    Nov 24 '18 at 2:25






  • 2





    Your description of the condition for the outer while loop termination is incorrect. The actual condition is when all lists have been exhausted, which based on your definitions of N and K would be N * K iterations.

    – Patrick Roberts
    Nov 24 '18 at 2:27











  • @PatrickRoberts I see what you're saying now, I was only considering the longest list being exhausted rather than all of them. Thank you.

    – TheeNinjaDev
    Nov 24 '18 at 2:32
















1















I have the following solution, but I'm hearing from other reviewers that it is O(N * K * K), not O(N * K) where N is the (max) length of the K lists and K is the number of lists. For example, given the lists [1, 2, 3] and [4, 5], N is 3 and K is 2.



/**
* Definition for singly-linked list.
* public class ListNode {
* int val;
* ListNode next;
* ListNode(int x) { val = x; }
* }
*/
class Solution {
private void advance(final ListNode listNodes, final int index) {
listNodes[index] = listNodes[index].next;
}

public ListNode mergeKLists(final ListNode listNodes) {
ListNode sortedListHead = null;
ListNode sortedListNode = null;

int associatedIndex;

do {
int minValue = Integer.MAX_VALUE;
associatedIndex = -1;

for (int listIndex = 0; listIndex < listNodes.length; listIndex++) {
final ListNode listNode = listNodes[listIndex];

if (listNode != null && listNode.val < minValue) {
minValue = listNode.val;
associatedIndex = listIndex;
}
}

if (associatedIndex != -1) {
if (sortedListNode == null) {
sortedListNode = new ListNode(minValue);
sortedListHead = sortedListNode;
}
else {
sortedListNode.next = new ListNode(minValue);
sortedListNode = sortedListNode.next;
}

advance(listNodes, associatedIndex);
}
}
while (associatedIndex != -1);

return sortedListHead;
}
}


My reasoning is that the body of the do-while loop will occur N times (as the do-while loop's stop condition is fulfilled when the longest list has been iterated through), while the do-while loop's for loop's body will occur K times (listNodes.length), yielding O(n * k).



Why is the above solution O(n * k * k) instead?










share|improve this question


















  • 2





    The outer loop is executed N * K times and the inner loop is executed K times

    – Patrick Roberts
    Nov 24 '18 at 2:21











  • @PatrickRoberts Why is the outer loop executed N * K times?

    – TheeNinjaDev
    Nov 24 '18 at 2:25






  • 2





    Your description of the condition for the outer while loop termination is incorrect. The actual condition is when all lists have been exhausted, which based on your definitions of N and K would be N * K iterations.

    – Patrick Roberts
    Nov 24 '18 at 2:27











  • @PatrickRoberts I see what you're saying now, I was only considering the longest list being exhausted rather than all of them. Thank you.

    – TheeNinjaDev
    Nov 24 '18 at 2:32














1












1








1








I have the following solution, but I'm hearing from other reviewers that it is O(N * K * K), not O(N * K) where N is the (max) length of the K lists and K is the number of lists. For example, given the lists [1, 2, 3] and [4, 5], N is 3 and K is 2.



/**
* Definition for singly-linked list.
* public class ListNode {
* int val;
* ListNode next;
* ListNode(int x) { val = x; }
* }
*/
class Solution {
private void advance(final ListNode listNodes, final int index) {
listNodes[index] = listNodes[index].next;
}

public ListNode mergeKLists(final ListNode listNodes) {
ListNode sortedListHead = null;
ListNode sortedListNode = null;

int associatedIndex;

do {
int minValue = Integer.MAX_VALUE;
associatedIndex = -1;

for (int listIndex = 0; listIndex < listNodes.length; listIndex++) {
final ListNode listNode = listNodes[listIndex];

if (listNode != null && listNode.val < minValue) {
minValue = listNode.val;
associatedIndex = listIndex;
}
}

if (associatedIndex != -1) {
if (sortedListNode == null) {
sortedListNode = new ListNode(minValue);
sortedListHead = sortedListNode;
}
else {
sortedListNode.next = new ListNode(minValue);
sortedListNode = sortedListNode.next;
}

advance(listNodes, associatedIndex);
}
}
while (associatedIndex != -1);

return sortedListHead;
}
}


My reasoning is that the body of the do-while loop will occur N times (as the do-while loop's stop condition is fulfilled when the longest list has been iterated through), while the do-while loop's for loop's body will occur K times (listNodes.length), yielding O(n * k).



Why is the above solution O(n * k * k) instead?










share|improve this question














I have the following solution, but I'm hearing from other reviewers that it is O(N * K * K), not O(N * K) where N is the (max) length of the K lists and K is the number of lists. For example, given the lists [1, 2, 3] and [4, 5], N is 3 and K is 2.



/**
* Definition for singly-linked list.
* public class ListNode {
* int val;
* ListNode next;
* ListNode(int x) { val = x; }
* }
*/
class Solution {
private void advance(final ListNode listNodes, final int index) {
listNodes[index] = listNodes[index].next;
}

public ListNode mergeKLists(final ListNode listNodes) {
ListNode sortedListHead = null;
ListNode sortedListNode = null;

int associatedIndex;

do {
int minValue = Integer.MAX_VALUE;
associatedIndex = -1;

for (int listIndex = 0; listIndex < listNodes.length; listIndex++) {
final ListNode listNode = listNodes[listIndex];

if (listNode != null && listNode.val < minValue) {
minValue = listNode.val;
associatedIndex = listIndex;
}
}

if (associatedIndex != -1) {
if (sortedListNode == null) {
sortedListNode = new ListNode(minValue);
sortedListHead = sortedListNode;
}
else {
sortedListNode.next = new ListNode(minValue);
sortedListNode = sortedListNode.next;
}

advance(listNodes, associatedIndex);
}
}
while (associatedIndex != -1);

return sortedListHead;
}
}


My reasoning is that the body of the do-while loop will occur N times (as the do-while loop's stop condition is fulfilled when the longest list has been iterated through), while the do-while loop's for loop's body will occur K times (listNodes.length), yielding O(n * k).



Why is the above solution O(n * k * k) instead?







algorithm merge linked-list time-complexity big-o






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share|improve this question











share|improve this question




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asked Nov 24 '18 at 2:08









TheeNinjaDevTheeNinjaDev

2401313




2401313








  • 2





    The outer loop is executed N * K times and the inner loop is executed K times

    – Patrick Roberts
    Nov 24 '18 at 2:21











  • @PatrickRoberts Why is the outer loop executed N * K times?

    – TheeNinjaDev
    Nov 24 '18 at 2:25






  • 2





    Your description of the condition for the outer while loop termination is incorrect. The actual condition is when all lists have been exhausted, which based on your definitions of N and K would be N * K iterations.

    – Patrick Roberts
    Nov 24 '18 at 2:27











  • @PatrickRoberts I see what you're saying now, I was only considering the longest list being exhausted rather than all of them. Thank you.

    – TheeNinjaDev
    Nov 24 '18 at 2:32














  • 2





    The outer loop is executed N * K times and the inner loop is executed K times

    – Patrick Roberts
    Nov 24 '18 at 2:21











  • @PatrickRoberts Why is the outer loop executed N * K times?

    – TheeNinjaDev
    Nov 24 '18 at 2:25






  • 2





    Your description of the condition for the outer while loop termination is incorrect. The actual condition is when all lists have been exhausted, which based on your definitions of N and K would be N * K iterations.

    – Patrick Roberts
    Nov 24 '18 at 2:27











  • @PatrickRoberts I see what you're saying now, I was only considering the longest list being exhausted rather than all of them. Thank you.

    – TheeNinjaDev
    Nov 24 '18 at 2:32








2




2





The outer loop is executed N * K times and the inner loop is executed K times

– Patrick Roberts
Nov 24 '18 at 2:21





The outer loop is executed N * K times and the inner loop is executed K times

– Patrick Roberts
Nov 24 '18 at 2:21













@PatrickRoberts Why is the outer loop executed N * K times?

– TheeNinjaDev
Nov 24 '18 at 2:25





@PatrickRoberts Why is the outer loop executed N * K times?

– TheeNinjaDev
Nov 24 '18 at 2:25




2




2





Your description of the condition for the outer while loop termination is incorrect. The actual condition is when all lists have been exhausted, which based on your definitions of N and K would be N * K iterations.

– Patrick Roberts
Nov 24 '18 at 2:27





Your description of the condition for the outer while loop termination is incorrect. The actual condition is when all lists have been exhausted, which based on your definitions of N and K would be N * K iterations.

– Patrick Roberts
Nov 24 '18 at 2:27













@PatrickRoberts I see what you're saying now, I was only considering the longest list being exhausted rather than all of them. Thank you.

– TheeNinjaDev
Nov 24 '18 at 2:32





@PatrickRoberts I see what you're saying now, I was only considering the longest list being exhausted rather than all of them. Thank you.

– TheeNinjaDev
Nov 24 '18 at 2:32












1 Answer
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Your resulting list will have a maximum of n * k items. Adding each of those items costs O(k) (the inner loop performs k iterations to examine the head of each list). Therefore the total runtime is O(n * k * k).






share|improve this answer

























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    1 Answer
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    active

    oldest

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    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    2














    Your resulting list will have a maximum of n * k items. Adding each of those items costs O(k) (the inner loop performs k iterations to examine the head of each list). Therefore the total runtime is O(n * k * k).






    share|improve this answer






























      2














      Your resulting list will have a maximum of n * k items. Adding each of those items costs O(k) (the inner loop performs k iterations to examine the head of each list). Therefore the total runtime is O(n * k * k).






      share|improve this answer




























        2












        2








        2







        Your resulting list will have a maximum of n * k items. Adding each of those items costs O(k) (the inner loop performs k iterations to examine the head of each list). Therefore the total runtime is O(n * k * k).






        share|improve this answer















        Your resulting list will have a maximum of n * k items. Adding each of those items costs O(k) (the inner loop performs k iterations to examine the head of each list). Therefore the total runtime is O(n * k * k).







        share|improve this answer














        share|improve this answer



        share|improve this answer








        edited Nov 24 '18 at 5:21

























        answered Nov 24 '18 at 2:25









        jamesdlinjamesdlin

        26.9k66193




        26.9k66193
































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