Find KKT points












0














i have a function:



min -(x - 1) ^ 2 - (y - 2) ^ 2
s.t -x ^ 2 + 2x + 1 + 2y >= 0
-y + 1 >= 0


How should i proceed to find all KKT points of this optimization problem?



I have the lagragian functions and the hessian matrix, so i have the functions system, calculated over the KKT conditions :



-2x + 2 + 4z = 0
2y + 4 - 2z + w = 0
z (-x ^ 2 - 2x + 1 + 2y) = 0
w (-y + 1) = 0
z >= 0 , w >= 0


where:
z = lambda 1.
w = lambda 2.



Thank you in advance!










share|improve this question



























    0














    i have a function:



    min -(x - 1) ^ 2 - (y - 2) ^ 2
    s.t -x ^ 2 + 2x + 1 + 2y >= 0
    -y + 1 >= 0


    How should i proceed to find all KKT points of this optimization problem?



    I have the lagragian functions and the hessian matrix, so i have the functions system, calculated over the KKT conditions :



    -2x + 2 + 4z = 0
    2y + 4 - 2z + w = 0
    z (-x ^ 2 - 2x + 1 + 2y) = 0
    w (-y + 1) = 0
    z >= 0 , w >= 0


    where:
    z = lambda 1.
    w = lambda 2.



    Thank you in advance!










    share|improve this question

























      0












      0








      0


      2





      i have a function:



      min -(x - 1) ^ 2 - (y - 2) ^ 2
      s.t -x ^ 2 + 2x + 1 + 2y >= 0
      -y + 1 >= 0


      How should i proceed to find all KKT points of this optimization problem?



      I have the lagragian functions and the hessian matrix, so i have the functions system, calculated over the KKT conditions :



      -2x + 2 + 4z = 0
      2y + 4 - 2z + w = 0
      z (-x ^ 2 - 2x + 1 + 2y) = 0
      w (-y + 1) = 0
      z >= 0 , w >= 0


      where:
      z = lambda 1.
      w = lambda 2.



      Thank you in advance!










      share|improve this question













      i have a function:



      min -(x - 1) ^ 2 - (y - 2) ^ 2
      s.t -x ^ 2 + 2x + 1 + 2y >= 0
      -y + 1 >= 0


      How should i proceed to find all KKT points of this optimization problem?



      I have the lagragian functions and the hessian matrix, so i have the functions system, calculated over the KKT conditions :



      -2x + 2 + 4z = 0
      2y + 4 - 2z + w = 0
      z (-x ^ 2 - 2x + 1 + 2y) = 0
      w (-y + 1) = 0
      z >= 0 , w >= 0


      where:
      z = lambda 1.
      w = lambda 2.



      Thank you in advance!







      optimization linear-algebra linear-programming






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 21 at 1:19









      Niko

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