Improving Time Complexity










1














I would appreciate some feedback with regards to Big-O (time-complexity) of loops, or, ways to improve it.



Let's take the following:



var pairs = 0;
HashSet<int> hs = new HashSet<int>(n);
for (var i = 0; i < ar.Length; i++)

if(!hs.Contains(ar[i]))
hs.Add(ar[i]);
else

pairs++;
hs.Remove(ar[i]);



return pairs;


From what I can determine, the worst-case time-complexity of the above is: O(n), because of the loop.



Are the any way of improving this, to bring the time-complexity as close to O(1) as possible?



PS: I'm pretty sure that the the above will never be O(1).



Thank you










share|improve this question

















  • 2




    I think you need to be posting your question to codereview.stackexchange.com you also need to provide more clarification as to what your function is trying to achieve
    – themehio
    Nov 12 at 15:17











  • what isar ? also if(!hs.Contains(ar[i]))kinda resudent becuase HashSet<T>.Add(T) Method returns true if the element is added to the HashSet<T> object; false if the element is already present.
    – styx
    Nov 12 at 15:18











  • @styx sorry, ar is an int array.
    – Jaco
    Nov 12 at 15:22










  • What exactly are the requirements. It looks like the requirement starts with "look at each element of ar and then..." there is no way to get less than O(n) if you have to look at each element to solve the problem.
    – Hogan
    Nov 12 at 15:22






  • 1




    Think about it this way. Your task is apparently to count pairs in an array -- which you should have said in the question. OK, how would you do that in real life? I take a deck of cards, remove a bunch of the cards, shuffle it, and hand you the cards. Your job is to count the pairs. Obviously you have to look at every card to do that task, so it will be at least O(number of cards)
    – Eric Lippert
    Nov 12 at 15:25















1














I would appreciate some feedback with regards to Big-O (time-complexity) of loops, or, ways to improve it.



Let's take the following:



var pairs = 0;
HashSet<int> hs = new HashSet<int>(n);
for (var i = 0; i < ar.Length; i++)

if(!hs.Contains(ar[i]))
hs.Add(ar[i]);
else

pairs++;
hs.Remove(ar[i]);



return pairs;


From what I can determine, the worst-case time-complexity of the above is: O(n), because of the loop.



Are the any way of improving this, to bring the time-complexity as close to O(1) as possible?



PS: I'm pretty sure that the the above will never be O(1).



Thank you










share|improve this question

















  • 2




    I think you need to be posting your question to codereview.stackexchange.com you also need to provide more clarification as to what your function is trying to achieve
    – themehio
    Nov 12 at 15:17











  • what isar ? also if(!hs.Contains(ar[i]))kinda resudent becuase HashSet<T>.Add(T) Method returns true if the element is added to the HashSet<T> object; false if the element is already present.
    – styx
    Nov 12 at 15:18











  • @styx sorry, ar is an int array.
    – Jaco
    Nov 12 at 15:22










  • What exactly are the requirements. It looks like the requirement starts with "look at each element of ar and then..." there is no way to get less than O(n) if you have to look at each element to solve the problem.
    – Hogan
    Nov 12 at 15:22






  • 1




    Think about it this way. Your task is apparently to count pairs in an array -- which you should have said in the question. OK, how would you do that in real life? I take a deck of cards, remove a bunch of the cards, shuffle it, and hand you the cards. Your job is to count the pairs. Obviously you have to look at every card to do that task, so it will be at least O(number of cards)
    – Eric Lippert
    Nov 12 at 15:25













1












1








1







I would appreciate some feedback with regards to Big-O (time-complexity) of loops, or, ways to improve it.



Let's take the following:



var pairs = 0;
HashSet<int> hs = new HashSet<int>(n);
for (var i = 0; i < ar.Length; i++)

if(!hs.Contains(ar[i]))
hs.Add(ar[i]);
else

pairs++;
hs.Remove(ar[i]);



return pairs;


From what I can determine, the worst-case time-complexity of the above is: O(n), because of the loop.



Are the any way of improving this, to bring the time-complexity as close to O(1) as possible?



PS: I'm pretty sure that the the above will never be O(1).



Thank you










share|improve this question













I would appreciate some feedback with regards to Big-O (time-complexity) of loops, or, ways to improve it.



Let's take the following:



var pairs = 0;
HashSet<int> hs = new HashSet<int>(n);
for (var i = 0; i < ar.Length; i++)

if(!hs.Contains(ar[i]))
hs.Add(ar[i]);
else

pairs++;
hs.Remove(ar[i]);



return pairs;


From what I can determine, the worst-case time-complexity of the above is: O(n), because of the loop.



Are the any way of improving this, to bring the time-complexity as close to O(1) as possible?



PS: I'm pretty sure that the the above will never be O(1).



Thank you







c# time-complexity big-o






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 12 at 15:14









Jaco

61




61







  • 2




    I think you need to be posting your question to codereview.stackexchange.com you also need to provide more clarification as to what your function is trying to achieve
    – themehio
    Nov 12 at 15:17











  • what isar ? also if(!hs.Contains(ar[i]))kinda resudent becuase HashSet<T>.Add(T) Method returns true if the element is added to the HashSet<T> object; false if the element is already present.
    – styx
    Nov 12 at 15:18











  • @styx sorry, ar is an int array.
    – Jaco
    Nov 12 at 15:22










  • What exactly are the requirements. It looks like the requirement starts with "look at each element of ar and then..." there is no way to get less than O(n) if you have to look at each element to solve the problem.
    – Hogan
    Nov 12 at 15:22






  • 1




    Think about it this way. Your task is apparently to count pairs in an array -- which you should have said in the question. OK, how would you do that in real life? I take a deck of cards, remove a bunch of the cards, shuffle it, and hand you the cards. Your job is to count the pairs. Obviously you have to look at every card to do that task, so it will be at least O(number of cards)
    – Eric Lippert
    Nov 12 at 15:25












  • 2




    I think you need to be posting your question to codereview.stackexchange.com you also need to provide more clarification as to what your function is trying to achieve
    – themehio
    Nov 12 at 15:17











  • what isar ? also if(!hs.Contains(ar[i]))kinda resudent becuase HashSet<T>.Add(T) Method returns true if the element is added to the HashSet<T> object; false if the element is already present.
    – styx
    Nov 12 at 15:18











  • @styx sorry, ar is an int array.
    – Jaco
    Nov 12 at 15:22










  • What exactly are the requirements. It looks like the requirement starts with "look at each element of ar and then..." there is no way to get less than O(n) if you have to look at each element to solve the problem.
    – Hogan
    Nov 12 at 15:22






  • 1




    Think about it this way. Your task is apparently to count pairs in an array -- which you should have said in the question. OK, how would you do that in real life? I take a deck of cards, remove a bunch of the cards, shuffle it, and hand you the cards. Your job is to count the pairs. Obviously you have to look at every card to do that task, so it will be at least O(number of cards)
    – Eric Lippert
    Nov 12 at 15:25







2




2




I think you need to be posting your question to codereview.stackexchange.com you also need to provide more clarification as to what your function is trying to achieve
– themehio
Nov 12 at 15:17





I think you need to be posting your question to codereview.stackexchange.com you also need to provide more clarification as to what your function is trying to achieve
– themehio
Nov 12 at 15:17













what isar ? also if(!hs.Contains(ar[i]))kinda resudent becuase HashSet<T>.Add(T) Method returns true if the element is added to the HashSet<T> object; false if the element is already present.
– styx
Nov 12 at 15:18





what isar ? also if(!hs.Contains(ar[i]))kinda resudent becuase HashSet<T>.Add(T) Method returns true if the element is added to the HashSet<T> object; false if the element is already present.
– styx
Nov 12 at 15:18













@styx sorry, ar is an int array.
– Jaco
Nov 12 at 15:22




@styx sorry, ar is an int array.
– Jaco
Nov 12 at 15:22












What exactly are the requirements. It looks like the requirement starts with "look at each element of ar and then..." there is no way to get less than O(n) if you have to look at each element to solve the problem.
– Hogan
Nov 12 at 15:22




What exactly are the requirements. It looks like the requirement starts with "look at each element of ar and then..." there is no way to get less than O(n) if you have to look at each element to solve the problem.
– Hogan
Nov 12 at 15:22




1




1




Think about it this way. Your task is apparently to count pairs in an array -- which you should have said in the question. OK, how would you do that in real life? I take a deck of cards, remove a bunch of the cards, shuffle it, and hand you the cards. Your job is to count the pairs. Obviously you have to look at every card to do that task, so it will be at least O(number of cards)
– Eric Lippert
Nov 12 at 15:25




Think about it this way. Your task is apparently to count pairs in an array -- which you should have said in the question. OK, how would you do that in real life? I take a deck of cards, remove a bunch of the cards, shuffle it, and hand you the cards. Your job is to count the pairs. Obviously you have to look at every card to do that task, so it will be at least O(number of cards)
– Eric Lippert
Nov 12 at 15:25

















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