Vector with some fixed values as a variable of scipy minimization fucntion












0















Is there any way to minimize a function with Scipy whose variable is a list with some specific values that may be 0? I tried to use constraints to solve this problem, but it seems that the minimizer is also iterating over these 0 elements, what leads to more computational expense.










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  • 1





    Could you add some data / code ?

    – makaros
    Nov 28 '18 at 22:05











  • The code is overcomplicated for such a small problem, so I will sumarize it: Let's say I want to minimize a function f(w) where w=[1,2,3,4,5,6,7,8]. For some reason I need some of the values of w to be 0 during the minimization process. Is there any way to pass this information to scipy oder than with the constraints argument?

    – Douglas Zechin
    Nov 28 '18 at 22:08


















0















Is there any way to minimize a function with Scipy whose variable is a list with some specific values that may be 0? I tried to use constraints to solve this problem, but it seems that the minimizer is also iterating over these 0 elements, what leads to more computational expense.










share|improve this question


















  • 1





    Could you add some data / code ?

    – makaros
    Nov 28 '18 at 22:05











  • The code is overcomplicated for such a small problem, so I will sumarize it: Let's say I want to minimize a function f(w) where w=[1,2,3,4,5,6,7,8]. For some reason I need some of the values of w to be 0 during the minimization process. Is there any way to pass this information to scipy oder than with the constraints argument?

    – Douglas Zechin
    Nov 28 '18 at 22:08
















0












0








0








Is there any way to minimize a function with Scipy whose variable is a list with some specific values that may be 0? I tried to use constraints to solve this problem, but it seems that the minimizer is also iterating over these 0 elements, what leads to more computational expense.










share|improve this question














Is there any way to minimize a function with Scipy whose variable is a list with some specific values that may be 0? I tried to use constraints to solve this problem, but it seems that the minimizer is also iterating over these 0 elements, what leads to more computational expense.







python list scipy minimize






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asked Nov 28 '18 at 21:58









Douglas ZechinDouglas Zechin

1




1








  • 1





    Could you add some data / code ?

    – makaros
    Nov 28 '18 at 22:05











  • The code is overcomplicated for such a small problem, so I will sumarize it: Let's say I want to minimize a function f(w) where w=[1,2,3,4,5,6,7,8]. For some reason I need some of the values of w to be 0 during the minimization process. Is there any way to pass this information to scipy oder than with the constraints argument?

    – Douglas Zechin
    Nov 28 '18 at 22:08
















  • 1





    Could you add some data / code ?

    – makaros
    Nov 28 '18 at 22:05











  • The code is overcomplicated for such a small problem, so I will sumarize it: Let's say I want to minimize a function f(w) where w=[1,2,3,4,5,6,7,8]. For some reason I need some of the values of w to be 0 during the minimization process. Is there any way to pass this information to scipy oder than with the constraints argument?

    – Douglas Zechin
    Nov 28 '18 at 22:08










1




1





Could you add some data / code ?

– makaros
Nov 28 '18 at 22:05





Could you add some data / code ?

– makaros
Nov 28 '18 at 22:05













The code is overcomplicated for such a small problem, so I will sumarize it: Let's say I want to minimize a function f(w) where w=[1,2,3,4,5,6,7,8]. For some reason I need some of the values of w to be 0 during the minimization process. Is there any way to pass this information to scipy oder than with the constraints argument?

– Douglas Zechin
Nov 28 '18 at 22:08







The code is overcomplicated for such a small problem, so I will sumarize it: Let's say I want to minimize a function f(w) where w=[1,2,3,4,5,6,7,8]. For some reason I need some of the values of w to be 0 during the minimization process. Is there any way to pass this information to scipy oder than with the constraints argument?

– Douglas Zechin
Nov 28 '18 at 22:08














1 Answer
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You can always wrap your function. A very unelegant, simple example:



from scipy.optimize import minimize

def f(x):
a, b, c, d = x
return a**2 + b**2 + c**2 + d**2

def f_with_zeros(z):
a, d = z
b = c = 0
return f([a, b, c, d])

res = minimize(f_with_zeros, [0, 0])





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    1 Answer
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    active

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    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    0














    You can always wrap your function. A very unelegant, simple example:



    from scipy.optimize import minimize

    def f(x):
    a, b, c, d = x
    return a**2 + b**2 + c**2 + d**2

    def f_with_zeros(z):
    a, d = z
    b = c = 0
    return f([a, b, c, d])

    res = minimize(f_with_zeros, [0, 0])





    share|improve this answer




























      0














      You can always wrap your function. A very unelegant, simple example:



      from scipy.optimize import minimize

      def f(x):
      a, b, c, d = x
      return a**2 + b**2 + c**2 + d**2

      def f_with_zeros(z):
      a, d = z
      b = c = 0
      return f([a, b, c, d])

      res = minimize(f_with_zeros, [0, 0])





      share|improve this answer


























        0












        0








        0







        You can always wrap your function. A very unelegant, simple example:



        from scipy.optimize import minimize

        def f(x):
        a, b, c, d = x
        return a**2 + b**2 + c**2 + d**2

        def f_with_zeros(z):
        a, d = z
        b = c = 0
        return f([a, b, c, d])

        res = minimize(f_with_zeros, [0, 0])





        share|improve this answer













        You can always wrap your function. A very unelegant, simple example:



        from scipy.optimize import minimize

        def f(x):
        a, b, c, d = x
        return a**2 + b**2 + c**2 + d**2

        def f_with_zeros(z):
        a, d = z
        b = c = 0
        return f([a, b, c, d])

        res = minimize(f_with_zeros, [0, 0])






        share|improve this answer












        share|improve this answer



        share|improve this answer










        answered Dec 3 '18 at 17:48









        MstainoMstaino

        2,1121413




        2,1121413
































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