Calculate the running time of the code snippet below Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 23, 2019 at 00:00UTC (8:00pm US/Eastern)Help with find recurrence relation running time.Algorithm Running Timerunning time of an algorithmNeed to understand the end of Karatsuba algorithm running time proofCalculating Running Time of Recurrence RelationsStuck: To show that the divide and conquer relation represent Merge SortUnderstanding the running time of an algorithm that is with respect to input size nDifference between asymptotic bound and running timeWhat can be said about the time complexity of given Code snippet?how to work out a computer program running time

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Calculate the running time of the code snippet below



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 00:00UTC (8:00pm US/Eastern)Help with find recurrence relation running time.Algorithm Running Timerunning time of an algorithmNeed to understand the end of Karatsuba algorithm running time proofCalculating Running Time of Recurrence RelationsStuck: To show that the divide and conquer relation represent Merge SortUnderstanding the running time of an algorithm that is with respect to input size nDifference between asymptotic bound and running timeWhat can be said about the time complexity of given Code snippet?how to work out a computer program running time










0












$begingroup$


for (i=2*n; i>=1; i=i-1)
for (j=1; j<=i; j=j+1)
for (k=1; k<=j; k=k*3)
print(“hello”)


I sopused that its N^5 but Im not sure










share|cite|improve this question











$endgroup$











  • $begingroup$
    Example:stackoverflow.com/questions/18486543/…
    $endgroup$
    – NoChance
    Mar 27 at 23:12















0












$begingroup$


for (i=2*n; i>=1; i=i-1)
for (j=1; j<=i; j=j+1)
for (k=1; k<=j; k=k*3)
print(“hello”)


I sopused that its N^5 but Im not sure










share|cite|improve this question











$endgroup$











  • $begingroup$
    Example:stackoverflow.com/questions/18486543/…
    $endgroup$
    – NoChance
    Mar 27 at 23:12













0












0








0





$begingroup$


for (i=2*n; i>=1; i=i-1)
for (j=1; j<=i; j=j+1)
for (k=1; k<=j; k=k*3)
print(“hello”)


I sopused that its N^5 but Im not sure










share|cite|improve this question











$endgroup$




for (i=2*n; i>=1; i=i-1)
for (j=1; j<=i; j=j+1)
for (k=1; k<=j; k=k*3)
print(“hello”)


I sopused that its N^5 but Im not sure







recursive-algorithms






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Mar 28 at 15:25









Julián Aguirre

69.5k24297




69.5k24297










asked Mar 27 at 19:37









Harlinton Palacios MosqueraHarlinton Palacios Mosquera

1




1











  • $begingroup$
    Example:stackoverflow.com/questions/18486543/…
    $endgroup$
    – NoChance
    Mar 27 at 23:12
















  • $begingroup$
    Example:stackoverflow.com/questions/18486543/…
    $endgroup$
    – NoChance
    Mar 27 at 23:12















$begingroup$
Example:stackoverflow.com/questions/18486543/…
$endgroup$
– NoChance
Mar 27 at 23:12




$begingroup$
Example:stackoverflow.com/questions/18486543/…
$endgroup$
– NoChance
Mar 27 at 23:12










1 Answer
1






active

oldest

votes


















0












$begingroup$

Let's try it. The total number of iterations is given by:



$$I=sum_i=1^2nsum_j=1^isum_k=1^lfloor log_3(j) rfloor 1approxsum_i=1^2nsum_j=1^i log(j) approx
sum_i=1^2nlog(i!)underbraceapprox_textStirling sum_i=1^2nilog(i)underbraceapprox_textSum approx textIntegral n^2log(n) $$



So $O(n^2 log(n))$, but i'm not so keen on this type of exercise :






share|cite|improve this answer











$endgroup$












  • $begingroup$
    I'd say more O(n^2 log(n)) because the k=k*3 in the last loop
    $endgroup$
    – Robin Nicole
    Mar 27 at 22:25










  • $begingroup$
    You are right, what a blunder! I thought for strange reason that it took all of the 3 multiples. Thank you :)
    $endgroup$
    – Eureka
    Mar 27 at 22:29











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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









0












$begingroup$

Let's try it. The total number of iterations is given by:



$$I=sum_i=1^2nsum_j=1^isum_k=1^lfloor log_3(j) rfloor 1approxsum_i=1^2nsum_j=1^i log(j) approx
sum_i=1^2nlog(i!)underbraceapprox_textStirling sum_i=1^2nilog(i)underbraceapprox_textSum approx textIntegral n^2log(n) $$



So $O(n^2 log(n))$, but i'm not so keen on this type of exercise :






share|cite|improve this answer











$endgroup$












  • $begingroup$
    I'd say more O(n^2 log(n)) because the k=k*3 in the last loop
    $endgroup$
    – Robin Nicole
    Mar 27 at 22:25










  • $begingroup$
    You are right, what a blunder! I thought for strange reason that it took all of the 3 multiples. Thank you :)
    $endgroup$
    – Eureka
    Mar 27 at 22:29















0












$begingroup$

Let's try it. The total number of iterations is given by:



$$I=sum_i=1^2nsum_j=1^isum_k=1^lfloor log_3(j) rfloor 1approxsum_i=1^2nsum_j=1^i log(j) approx
sum_i=1^2nlog(i!)underbraceapprox_textStirling sum_i=1^2nilog(i)underbraceapprox_textSum approx textIntegral n^2log(n) $$



So $O(n^2 log(n))$, but i'm not so keen on this type of exercise :






share|cite|improve this answer











$endgroup$












  • $begingroup$
    I'd say more O(n^2 log(n)) because the k=k*3 in the last loop
    $endgroup$
    – Robin Nicole
    Mar 27 at 22:25










  • $begingroup$
    You are right, what a blunder! I thought for strange reason that it took all of the 3 multiples. Thank you :)
    $endgroup$
    – Eureka
    Mar 27 at 22:29













0












0








0





$begingroup$

Let's try it. The total number of iterations is given by:



$$I=sum_i=1^2nsum_j=1^isum_k=1^lfloor log_3(j) rfloor 1approxsum_i=1^2nsum_j=1^i log(j) approx
sum_i=1^2nlog(i!)underbraceapprox_textStirling sum_i=1^2nilog(i)underbraceapprox_textSum approx textIntegral n^2log(n) $$



So $O(n^2 log(n))$, but i'm not so keen on this type of exercise :






share|cite|improve this answer











$endgroup$



Let's try it. The total number of iterations is given by:



$$I=sum_i=1^2nsum_j=1^isum_k=1^lfloor log_3(j) rfloor 1approxsum_i=1^2nsum_j=1^i log(j) approx
sum_i=1^2nlog(i!)underbraceapprox_textStirling sum_i=1^2nilog(i)underbraceapprox_textSum approx textIntegral n^2log(n) $$



So $O(n^2 log(n))$, but i'm not so keen on this type of exercise :







share|cite|improve this answer














share|cite|improve this answer



share|cite|improve this answer








edited Mar 27 at 22:40

























answered Mar 27 at 21:49









EurekaEureka

907115




907115











  • $begingroup$
    I'd say more O(n^2 log(n)) because the k=k*3 in the last loop
    $endgroup$
    – Robin Nicole
    Mar 27 at 22:25










  • $begingroup$
    You are right, what a blunder! I thought for strange reason that it took all of the 3 multiples. Thank you :)
    $endgroup$
    – Eureka
    Mar 27 at 22:29
















  • $begingroup$
    I'd say more O(n^2 log(n)) because the k=k*3 in the last loop
    $endgroup$
    – Robin Nicole
    Mar 27 at 22:25










  • $begingroup$
    You are right, what a blunder! I thought for strange reason that it took all of the 3 multiples. Thank you :)
    $endgroup$
    – Eureka
    Mar 27 at 22:29















$begingroup$
I'd say more O(n^2 log(n)) because the k=k*3 in the last loop
$endgroup$
– Robin Nicole
Mar 27 at 22:25




$begingroup$
I'd say more O(n^2 log(n)) because the k=k*3 in the last loop
$endgroup$
– Robin Nicole
Mar 27 at 22:25












$begingroup$
You are right, what a blunder! I thought for strange reason that it took all of the 3 multiples. Thank you :)
$endgroup$
– Eureka
Mar 27 at 22:29




$begingroup$
You are right, what a blunder! I thought for strange reason that it took all of the 3 multiples. Thank you :)
$endgroup$
– Eureka
Mar 27 at 22:29

















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