Compare two algorithms with each other












2














I am fairly new algorithms and the math behind it.



I am very sorry if this is the wrong place to ask if so please let me know and I can delete this question.



I would need help with the following algorithms.



The task is to choose α so that B is asymptotically faster than A.




A: $ T_a$(n) = 7$T_a$($frac{n}{2}$)+n²



B: $ T_b$(n) = α$T_b$($frac{n}{4}$)+n²




I have tried to figure out what the asymptotically upper bound would be and I have come up with this formula for A:




A: T(n) = n² + $sum_{k=1}^k 7^{k-1} frac{(n^2)}{2^k}+7^kT(frac{n}{2^k})$




k is for n < 2 = ld(n)



But I do not understand how to go on from here.



Any help would be very apricated.










share|cite|improve this question





























    2














    I am fairly new algorithms and the math behind it.



    I am very sorry if this is the wrong place to ask if so please let me know and I can delete this question.



    I would need help with the following algorithms.



    The task is to choose α so that B is asymptotically faster than A.




    A: $ T_a$(n) = 7$T_a$($frac{n}{2}$)+n²



    B: $ T_b$(n) = α$T_b$($frac{n}{4}$)+n²




    I have tried to figure out what the asymptotically upper bound would be and I have come up with this formula for A:




    A: T(n) = n² + $sum_{k=1}^k 7^{k-1} frac{(n^2)}{2^k}+7^kT(frac{n}{2^k})$




    k is for n < 2 = ld(n)



    But I do not understand how to go on from here.



    Any help would be very apricated.










    share|cite|improve this question



























      2












      2








      2







      I am fairly new algorithms and the math behind it.



      I am very sorry if this is the wrong place to ask if so please let me know and I can delete this question.



      I would need help with the following algorithms.



      The task is to choose α so that B is asymptotically faster than A.




      A: $ T_a$(n) = 7$T_a$($frac{n}{2}$)+n²



      B: $ T_b$(n) = α$T_b$($frac{n}{4}$)+n²




      I have tried to figure out what the asymptotically upper bound would be and I have come up with this formula for A:




      A: T(n) = n² + $sum_{k=1}^k 7^{k-1} frac{(n^2)}{2^k}+7^kT(frac{n}{2^k})$




      k is for n < 2 = ld(n)



      But I do not understand how to go on from here.



      Any help would be very apricated.










      share|cite|improve this question















      I am fairly new algorithms and the math behind it.



      I am very sorry if this is the wrong place to ask if so please let me know and I can delete this question.



      I would need help with the following algorithms.



      The task is to choose α so that B is asymptotically faster than A.




      A: $ T_a$(n) = 7$T_a$($frac{n}{2}$)+n²



      B: $ T_b$(n) = α$T_b$($frac{n}{4}$)+n²




      I have tried to figure out what the asymptotically upper bound would be and I have come up with this formula for A:




      A: T(n) = n² + $sum_{k=1}^k 7^{k-1} frac{(n^2)}{2^k}+7^kT(frac{n}{2^k})$




      k is for n < 2 = ld(n)



      But I do not understand how to go on from here.



      Any help would be very apricated.







      sequences-and-series algorithms asymptotics






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      edited Nov 21 '18 at 20:23









      Scientifica

      6,37641335




      6,37641335










      asked Nov 21 '18 at 20:01









      MarkMark

      111




      111






















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          If you are familiar with Master theorem, you can solve it easily. From the master theorem as $c_{crit} = log_27 sim 2.81$ we know that $A = O(n^{2.81}) = Theta(n^{log_27})$. Hence, if $a = 4^2 = 16$, from master thorem $B = Theta(n^2log(n))$ and asymptotically faster than $A$. Also, for all $a < 16$ this would be true.






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            If you are familiar with Master theorem, you can solve it easily. From the master theorem as $c_{crit} = log_27 sim 2.81$ we know that $A = O(n^{2.81}) = Theta(n^{log_27})$. Hence, if $a = 4^2 = 16$, from master thorem $B = Theta(n^2log(n))$ and asymptotically faster than $A$. Also, for all $a < 16$ this would be true.






            share|cite|improve this answer


























              0














              If you are familiar with Master theorem, you can solve it easily. From the master theorem as $c_{crit} = log_27 sim 2.81$ we know that $A = O(n^{2.81}) = Theta(n^{log_27})$. Hence, if $a = 4^2 = 16$, from master thorem $B = Theta(n^2log(n))$ and asymptotically faster than $A$. Also, for all $a < 16$ this would be true.






              share|cite|improve this answer
























                0












                0








                0






                If you are familiar with Master theorem, you can solve it easily. From the master theorem as $c_{crit} = log_27 sim 2.81$ we know that $A = O(n^{2.81}) = Theta(n^{log_27})$. Hence, if $a = 4^2 = 16$, from master thorem $B = Theta(n^2log(n))$ and asymptotically faster than $A$. Also, for all $a < 16$ this would be true.






                share|cite|improve this answer












                If you are familiar with Master theorem, you can solve it easily. From the master theorem as $c_{crit} = log_27 sim 2.81$ we know that $A = O(n^{2.81}) = Theta(n^{log_27})$. Hence, if $a = 4^2 = 16$, from master thorem $B = Theta(n^2log(n))$ and asymptotically faster than $A$. Also, for all $a < 16$ this would be true.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Nov 22 '18 at 11:10









                OmGOmG

                2,212620




                2,212620






























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