Matlab: Linear and nonlinear programming

The operational and decision-making problems of MATLAB

1. Linear programming problems

   1. Function:

      Linprog (F,a,b,aep,bep,lb,ub)

   2. Parametric analysis:

      F: The coefficient arrangement of the objective function

      A: The coefficient matrix of the constraint condition

      B: Result of the augmented matrix of the constraint condition

      AEP: The coefficient matrix of the equation

      BEP: The result matrix of the equation

      LB: The minimum value to be solved

      UB: The maximum value solved

2. Nonlinear programming problems (two times)

   1. Function

      Quadprog (F,a,b,aep,bep,lb,ub)

1. Nonlinear programming problems (universality)

   1. Function

      X=fmincon (' fun ', X0,a,b,aeq,beq,vlb,vub, ' Nonlcon ', options)

   2. Parameter description

      X: Output Extreme Point

      Fun:m file

      X0: The initial value of the iteration should be defined.

      VLB,VUB: Variable upper and lower bounds

      Options: Parameter description

      Note: The value given by this function may be a local optimal

c) Instructions for use * * * *

1. Create M file fun.m, define objective function f (x)

2, if the constraints have a nonlinear constraint that is g (x) <0 or Ceq (x) =0

Create M file nonlcon.m define function g (x), Ceq (x)

Template:

Function [G,ceq]=nonlcon (x)

G= ...

Ceq= ...

Matlab: Linear and nonlinear programming