Master Theorem for homework outsourcing












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John is looking to outsource his homework. If he gets homework with one task he solves it in a constant number of minutes. Every bigger homework ($2$ or more tasks) he will split among $dgeq 3$ of his colleagues and asks each one of them to solve approximately one third of the tasks. To split $n$ tasks among colleagues it takes him $theta(n^2)$ minutes. Let's assume that each student has the same strategy as John. We need to asymptotically approximate the number of time spent in minutes needed to solve homework with $n$ tasks depending on the natural parameter $dgeq 3$.



I believe this should be solved with Master Theorem. The equation would be as following: $t(n) = d cdot (n/3) + theta(n^2)$. I think we can therefore split it into three cases:



a) $d < 9$ where the solution would be: $theta(n^{log_3(d)})$



b) $d > 9$ with solution $theta(n^2)$



c) $d = 9$ with solution $theta(n^{log3(d)(log(n)})$.



Is this correct?










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  • $begingroup$
    It's directly n**2 according to your recurrence
    $endgroup$
    – Aditya
    Jan 18 at 14:05
















0












$begingroup$


John is looking to outsource his homework. If he gets homework with one task he solves it in a constant number of minutes. Every bigger homework ($2$ or more tasks) he will split among $dgeq 3$ of his colleagues and asks each one of them to solve approximately one third of the tasks. To split $n$ tasks among colleagues it takes him $theta(n^2)$ minutes. Let's assume that each student has the same strategy as John. We need to asymptotically approximate the number of time spent in minutes needed to solve homework with $n$ tasks depending on the natural parameter $dgeq 3$.



I believe this should be solved with Master Theorem. The equation would be as following: $t(n) = d cdot (n/3) + theta(n^2)$. I think we can therefore split it into three cases:



a) $d < 9$ where the solution would be: $theta(n^{log_3(d)})$



b) $d > 9$ with solution $theta(n^2)$



c) $d = 9$ with solution $theta(n^{log3(d)(log(n)})$.



Is this correct?










share|cite|improve this question











$endgroup$












  • $begingroup$
    It's directly n**2 according to your recurrence
    $endgroup$
    – Aditya
    Jan 18 at 14:05














0












0








0





$begingroup$


John is looking to outsource his homework. If he gets homework with one task he solves it in a constant number of minutes. Every bigger homework ($2$ or more tasks) he will split among $dgeq 3$ of his colleagues and asks each one of them to solve approximately one third of the tasks. To split $n$ tasks among colleagues it takes him $theta(n^2)$ minutes. Let's assume that each student has the same strategy as John. We need to asymptotically approximate the number of time spent in minutes needed to solve homework with $n$ tasks depending on the natural parameter $dgeq 3$.



I believe this should be solved with Master Theorem. The equation would be as following: $t(n) = d cdot (n/3) + theta(n^2)$. I think we can therefore split it into three cases:



a) $d < 9$ where the solution would be: $theta(n^{log_3(d)})$



b) $d > 9$ with solution $theta(n^2)$



c) $d = 9$ with solution $theta(n^{log3(d)(log(n)})$.



Is this correct?










share|cite|improve this question











$endgroup$




John is looking to outsource his homework. If he gets homework with one task he solves it in a constant number of minutes. Every bigger homework ($2$ or more tasks) he will split among $dgeq 3$ of his colleagues and asks each one of them to solve approximately one third of the tasks. To split $n$ tasks among colleagues it takes him $theta(n^2)$ minutes. Let's assume that each student has the same strategy as John. We need to asymptotically approximate the number of time spent in minutes needed to solve homework with $n$ tasks depending on the natural parameter $dgeq 3$.



I believe this should be solved with Master Theorem. The equation would be as following: $t(n) = d cdot (n/3) + theta(n^2)$. I think we can therefore split it into three cases:



a) $d < 9$ where the solution would be: $theta(n^{log_3(d)})$



b) $d > 9$ with solution $theta(n^2)$



c) $d = 9$ with solution $theta(n^{log3(d)(log(n)})$.



Is this correct?







discrete-mathematics asymptotics






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share|cite|improve this question













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edited Jan 18 at 13:52









idriskameni

641319




641319










asked Jan 18 at 12:44









ponikoliponikoli

416




416












  • $begingroup$
    It's directly n**2 according to your recurrence
    $endgroup$
    – Aditya
    Jan 18 at 14:05


















  • $begingroup$
    It's directly n**2 according to your recurrence
    $endgroup$
    – Aditya
    Jan 18 at 14:05
















$begingroup$
It's directly n**2 according to your recurrence
$endgroup$
– Aditya
Jan 18 at 14:05




$begingroup$
It's directly n**2 according to your recurrence
$endgroup$
– Aditya
Jan 18 at 14:05










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