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How do I take derivative that involves double summation?


How to take derivative when the function is also parameterizedHelp in simplifying this double summationComputer Vision Models 4.3 - Derivative of SummationHow to make derivative when function has double summationHow did the author take this derivative?Partial Derivative of Double SummationHow to take a partial derivative of $|y - Xw|^2$ with respect to w?Partial derivative of summationPartial Derivative of a double finite summation.How do derivatives within a summation work?













1












$begingroup$


Suppose I have a function like this:



$$E(U,V) =sum_(u,i)in M (M_u,i -U^mathrm T_u V_i)^2 = sum_(u,i)in M left( M_u,i -sum_k=1^r U_u,k V_i,k right)^2.$$



How do I take the partial derivative of $E$ with respect to $U_u, i$?



Could anyone point me to some reference or give me some suggestion on how to solve this?










share|cite|improve this question











$endgroup$











  • $begingroup$
    For future reference, there is an option to embed images (little picture icon of a mountain). All you need to provide is the URL.
    $endgroup$
    – zahbaz
    Nov 13 '15 at 5:40










  • $begingroup$
    You need to clarify I think. What's $M_u,i$ etc? Functions or constants? Matrix entries?
    $endgroup$
    – Benjamin Lindqvist
    Nov 13 '15 at 8:17










  • $begingroup$
    It doesn't matter. It's just a way of specifying variables. But for the sake of the argument, in this context, it's a matrix entry.
    $endgroup$
    – Jenny
    Nov 13 '15 at 12:55















1












$begingroup$


Suppose I have a function like this:



$$E(U,V) =sum_(u,i)in M (M_u,i -U^mathrm T_u V_i)^2 = sum_(u,i)in M left( M_u,i -sum_k=1^r U_u,k V_i,k right)^2.$$



How do I take the partial derivative of $E$ with respect to $U_u, i$?



Could anyone point me to some reference or give me some suggestion on how to solve this?










share|cite|improve this question











$endgroup$











  • $begingroup$
    For future reference, there is an option to embed images (little picture icon of a mountain). All you need to provide is the URL.
    $endgroup$
    – zahbaz
    Nov 13 '15 at 5:40










  • $begingroup$
    You need to clarify I think. What's $M_u,i$ etc? Functions or constants? Matrix entries?
    $endgroup$
    – Benjamin Lindqvist
    Nov 13 '15 at 8:17










  • $begingroup$
    It doesn't matter. It's just a way of specifying variables. But for the sake of the argument, in this context, it's a matrix entry.
    $endgroup$
    – Jenny
    Nov 13 '15 at 12:55













1












1








1





$begingroup$


Suppose I have a function like this:



$$E(U,V) =sum_(u,i)in M (M_u,i -U^mathrm T_u V_i)^2 = sum_(u,i)in M left( M_u,i -sum_k=1^r U_u,k V_i,k right)^2.$$



How do I take the partial derivative of $E$ with respect to $U_u, i$?



Could anyone point me to some reference or give me some suggestion on how to solve this?










share|cite|improve this question











$endgroup$




Suppose I have a function like this:



$$E(U,V) =sum_(u,i)in M (M_u,i -U^mathrm T_u V_i)^2 = sum_(u,i)in M left( M_u,i -sum_k=1^r U_u,k V_i,k right)^2.$$



How do I take the partial derivative of $E$ with respect to $U_u, i$?



Could anyone point me to some reference or give me some suggestion on how to solve this?







calculus linear-algebra summation partial-derivative






share|cite|improve this question















share|cite|improve this question













share|cite|improve this question




share|cite|improve this question








edited Mar 10 at 19:23









Rócherz

2,9262821




2,9262821










asked Nov 13 '15 at 4:58









JennyJenny

213




213











  • $begingroup$
    For future reference, there is an option to embed images (little picture icon of a mountain). All you need to provide is the URL.
    $endgroup$
    – zahbaz
    Nov 13 '15 at 5:40










  • $begingroup$
    You need to clarify I think. What's $M_u,i$ etc? Functions or constants? Matrix entries?
    $endgroup$
    – Benjamin Lindqvist
    Nov 13 '15 at 8:17










  • $begingroup$
    It doesn't matter. It's just a way of specifying variables. But for the sake of the argument, in this context, it's a matrix entry.
    $endgroup$
    – Jenny
    Nov 13 '15 at 12:55
















  • $begingroup$
    For future reference, there is an option to embed images (little picture icon of a mountain). All you need to provide is the URL.
    $endgroup$
    – zahbaz
    Nov 13 '15 at 5:40










  • $begingroup$
    You need to clarify I think. What's $M_u,i$ etc? Functions or constants? Matrix entries?
    $endgroup$
    – Benjamin Lindqvist
    Nov 13 '15 at 8:17










  • $begingroup$
    It doesn't matter. It's just a way of specifying variables. But for the sake of the argument, in this context, it's a matrix entry.
    $endgroup$
    – Jenny
    Nov 13 '15 at 12:55















$begingroup$
For future reference, there is an option to embed images (little picture icon of a mountain). All you need to provide is the URL.
$endgroup$
– zahbaz
Nov 13 '15 at 5:40




$begingroup$
For future reference, there is an option to embed images (little picture icon of a mountain). All you need to provide is the URL.
$endgroup$
– zahbaz
Nov 13 '15 at 5:40












$begingroup$
You need to clarify I think. What's $M_u,i$ etc? Functions or constants? Matrix entries?
$endgroup$
– Benjamin Lindqvist
Nov 13 '15 at 8:17




$begingroup$
You need to clarify I think. What's $M_u,i$ etc? Functions or constants? Matrix entries?
$endgroup$
– Benjamin Lindqvist
Nov 13 '15 at 8:17












$begingroup$
It doesn't matter. It's just a way of specifying variables. But for the sake of the argument, in this context, it's a matrix entry.
$endgroup$
– Jenny
Nov 13 '15 at 12:55




$begingroup$
It doesn't matter. It's just a way of specifying variables. But for the sake of the argument, in this context, it's a matrix entry.
$endgroup$
– Jenny
Nov 13 '15 at 12:55










1 Answer
1






active

oldest

votes


















1












$begingroup$

Lets say you want the partial derivative with respect to $U_mn$. Most of the summands are treated as constants so derivation yields:



$$fracpartial Epartial U_mn(U, V) = fracpartialpartial U_mn sum_i (M_mi-U_mnV_in)^2$$



Using the linearity of the derivation operator and the chain rule we have:



$$=sum_ifracpartialpartial U_mn (M_mi-U_mnV_in)^2 = sum_i 2(M_mi-U_mnV_in)(-V_in).$$
Which can be written as
$$=-2(MV)_mn + 2U_mn ||V_n||^2$$
where $(MV)_mn$ is the $mn$-th entry of the matrix product $MV$ and $||V_n||$ is the euclidean norm of the $n$-th column of $V$.






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    1 Answer
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    1 Answer
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    active

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    active

    oldest

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    1












    $begingroup$

    Lets say you want the partial derivative with respect to $U_mn$. Most of the summands are treated as constants so derivation yields:



    $$fracpartial Epartial U_mn(U, V) = fracpartialpartial U_mn sum_i (M_mi-U_mnV_in)^2$$



    Using the linearity of the derivation operator and the chain rule we have:



    $$=sum_ifracpartialpartial U_mn (M_mi-U_mnV_in)^2 = sum_i 2(M_mi-U_mnV_in)(-V_in).$$
    Which can be written as
    $$=-2(MV)_mn + 2U_mn ||V_n||^2$$
    where $(MV)_mn$ is the $mn$-th entry of the matrix product $MV$ and $||V_n||$ is the euclidean norm of the $n$-th column of $V$.






    share|cite|improve this answer











    $endgroup$

















      1












      $begingroup$

      Lets say you want the partial derivative with respect to $U_mn$. Most of the summands are treated as constants so derivation yields:



      $$fracpartial Epartial U_mn(U, V) = fracpartialpartial U_mn sum_i (M_mi-U_mnV_in)^2$$



      Using the linearity of the derivation operator and the chain rule we have:



      $$=sum_ifracpartialpartial U_mn (M_mi-U_mnV_in)^2 = sum_i 2(M_mi-U_mnV_in)(-V_in).$$
      Which can be written as
      $$=-2(MV)_mn + 2U_mn ||V_n||^2$$
      where $(MV)_mn$ is the $mn$-th entry of the matrix product $MV$ and $||V_n||$ is the euclidean norm of the $n$-th column of $V$.






      share|cite|improve this answer











      $endgroup$















        1












        1








        1





        $begingroup$

        Lets say you want the partial derivative with respect to $U_mn$. Most of the summands are treated as constants so derivation yields:



        $$fracpartial Epartial U_mn(U, V) = fracpartialpartial U_mn sum_i (M_mi-U_mnV_in)^2$$



        Using the linearity of the derivation operator and the chain rule we have:



        $$=sum_ifracpartialpartial U_mn (M_mi-U_mnV_in)^2 = sum_i 2(M_mi-U_mnV_in)(-V_in).$$
        Which can be written as
        $$=-2(MV)_mn + 2U_mn ||V_n||^2$$
        where $(MV)_mn$ is the $mn$-th entry of the matrix product $MV$ and $||V_n||$ is the euclidean norm of the $n$-th column of $V$.






        share|cite|improve this answer











        $endgroup$



        Lets say you want the partial derivative with respect to $U_mn$. Most of the summands are treated as constants so derivation yields:



        $$fracpartial Epartial U_mn(U, V) = fracpartialpartial U_mn sum_i (M_mi-U_mnV_in)^2$$



        Using the linearity of the derivation operator and the chain rule we have:



        $$=sum_ifracpartialpartial U_mn (M_mi-U_mnV_in)^2 = sum_i 2(M_mi-U_mnV_in)(-V_in).$$
        Which can be written as
        $$=-2(MV)_mn + 2U_mn ||V_n||^2$$
        where $(MV)_mn$ is the $mn$-th entry of the matrix product $MV$ and $||V_n||$ is the euclidean norm of the $n$-th column of $V$.







        share|cite|improve this answer














        share|cite|improve this answer



        share|cite|improve this answer








        edited Nov 13 '15 at 14:59

























        answered Nov 13 '15 at 14:45









        testmantestman

        52729




        52729



























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