how to write a linear function into convex matrix based-python language for optimization












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I have set network maximum flow in linear program format and already written in convex function with constraints. My intention is to optimize the function using convex linear solver in Python (convexopt.solver.lp()) in order to return a value of the objective function.



I have not found viable complete materials on the internet despite of several searches to help me figure out how I can transform my program into convex matrix based-python language in respect to convex standard format which is



     c^Tx 
s.t. Gx<=h
Ax=b


My linear problem is defined here below and I would appreciate any lead to convert this function into convex solver matrix:



enter image description here










share|improve this question





























    0















    I have set network maximum flow in linear program format and already written in convex function with constraints. My intention is to optimize the function using convex linear solver in Python (convexopt.solver.lp()) in order to return a value of the objective function.



    I have not found viable complete materials on the internet despite of several searches to help me figure out how I can transform my program into convex matrix based-python language in respect to convex standard format which is



         c^Tx 
    s.t. Gx<=h
    Ax=b


    My linear problem is defined here below and I would appreciate any lead to convert this function into convex solver matrix:



    enter image description here










    share|improve this question



























      0












      0








      0








      I have set network maximum flow in linear program format and already written in convex function with constraints. My intention is to optimize the function using convex linear solver in Python (convexopt.solver.lp()) in order to return a value of the objective function.



      I have not found viable complete materials on the internet despite of several searches to help me figure out how I can transform my program into convex matrix based-python language in respect to convex standard format which is



           c^Tx 
      s.t. Gx<=h
      Ax=b


      My linear problem is defined here below and I would appreciate any lead to convert this function into convex solver matrix:



      enter image description here










      share|improve this question
















      I have set network maximum flow in linear program format and already written in convex function with constraints. My intention is to optimize the function using convex linear solver in Python (convexopt.solver.lp()) in order to return a value of the objective function.



      I have not found viable complete materials on the internet despite of several searches to help me figure out how I can transform my program into convex matrix based-python language in respect to convex standard format which is



           c^Tx 
      s.t. Gx<=h
      Ax=b


      My linear problem is defined here below and I would appreciate any lead to convert this function into convex solver matrix:



      enter image description here







      python-2.7 convex-optimization






      share|improve this question















      share|improve this question













      share|improve this question




      share|improve this question








      edited Nov 27 '18 at 2:29

























      asked Nov 27 '18 at 1:53







      user10482850































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