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






share|improve this question













share|improve this question











share|improve this question




share|improve this question










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
1






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

























    Your Answer






    StackExchange.ifUsing("editor", function () {
    StackExchange.using("externalEditor", function () {
    StackExchange.using("snippets", function () {
    StackExchange.snippets.init();
    });
    });
    }, "code-snippets");

    StackExchange.ready(function() {
    var channelOptions = {
    tags: "".split(" "),
    id: "1"
    };
    initTagRenderer("".split(" "), "".split(" "), channelOptions);

    StackExchange.using("externalEditor", function() {
    // Have to fire editor after snippets, if snippets enabled
    if (StackExchange.settings.snippets.snippetsEnabled) {
    StackExchange.using("snippets", function() {
    createEditor();
    });
    }
    else {
    createEditor();
    }
    });

    function createEditor() {
    StackExchange.prepareEditor({
    heartbeatType: 'answer',
    autoActivateHeartbeat: false,
    convertImagesToLinks: true,
    noModals: true,
    showLowRepImageUploadWarning: true,
    reputationToPostImages: 10,
    bindNavPrevention: true,
    postfix: "",
    imageUploader: {
    brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
    contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
    allowUrls: true
    },
    onDemand: true,
    discardSelector: ".discard-answer"
    ,immediatelyShowMarkdownHelp:true
    });


    }
    });














    draft saved

    draft discarded


















    StackExchange.ready(
    function () {
    StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53454615%2fmerging-k-sorted-linked-lists-why-is-complexity-on-k-k-not-on-k%23new-answer', 'question_page');
    }
    );

    Post as a guest















    Required, but never shown

























    1 Answer
    1






    active

    oldest

    votes








    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
































            draft saved

            draft discarded




















































            Thanks for contributing an answer to Stack Overflow!


            • Please be sure to answer the question. Provide details and share your research!

            But avoid



            • Asking for help, clarification, or responding to other answers.

            • Making statements based on opinion; back them up with references or personal experience.


            To learn more, see our tips on writing great answers.




            draft saved


            draft discarded














            StackExchange.ready(
            function () {
            StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53454615%2fmerging-k-sorted-linked-lists-why-is-complexity-on-k-k-not-on-k%23new-answer', 'question_page');
            }
            );

            Post as a guest















            Required, but never shown





















































            Required, but never shown














            Required, but never shown












            Required, but never shown







            Required, but never shown

































            Required, but never shown














            Required, but never shown












            Required, but never shown







            Required, but never shown







            Popular posts from this blog

            Wiesbaden

            Marschland

            Dieringhausen