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4. Primal to dual conversion example ( Enter your problem )
  1. Formulation and Rules
  2. Example-1
  3. Example-2
  4. Example-3
  5. Example-4
  6. Example-5
  7. Example-6
Other related methods
  1. Formulate linear programming model
  2. Graphical method
  3. Simplex method (BigM method)
  4. Two-Phase method
  5. Primal to dual conversion
  6. Dual simplex method
  7. Integer simplex method
  8. Branch and Bound method
  9. 0-1 Integer programming problem
  10. Revised Simplex method

4. Two-Phase method
(Previous method)
2. Example-1
(Next example)

1. Formulation and Rules





Primal to dual conversion formulation

If the primal is of the form
Maximize `Z_x=c_1x_1+c_2x_2+...+c_nx_n`
Subject to the constraints
`a_11x_1+a_12x_2+...+a_(1n)x_n<=b_1`
`a_21x_1+a_22x_2+...+a_(2n)x_n<=b_2`
:
`a_(m1)x_1+a_(m2)x_2+...+a_(mn)x_n<=b_m`
`x_1,x_2,...,x_n>=0`

Then the corresponding dual is of the form
Minimize `Z_y=b_1y_1+b_2y_2+...+b_ny_n`
Subject to the constraints
`a_11y_1+a_21y_2+...+a_(m1)y_m>=c_1`
`a_12y_1+a_22y_2+...+a_(m2)y_m>=c_2`
:
`a_(1n)y_1+a_(2n)y_2+...+a_(mn)y_m>=c_n`
`y_1,y_2,...,y_m>=0`


Rules
In Primal Then in Dual
1. Objective function is maximum Objective function is minimum
2. Objective function : total 3 variables (`x_1,x_2,x_3`)
and coefficient `c_1,c_2,c_3`
constraints : total 3 constraints
and right hand side constant `b_1,b_2,b_3`.
(`c_1` becomes `b_1`, `c_2` becomes `b_2`, `c_3` becomes `b_3`)
3. constraints : total 2 constraints
and right hand side constant `b_1,b_2`
Objective function : total 2 variables (`y_1,y_2`)
and coefficient `c_1,c_2`.
(`b_1` becomes `c_1`, `b_2` becomes `c_2`)
4. constraint is `<=` type constraint is `>=` type
5. `x_i` unrestricted in sign
eg: `x_1` unrestricted in sign
`i^"th"` constraint is = type
eg: `1^"st"` constraint is = type
6. `i^"th"` constraint is = type
eg: `1^"st"` constraint is = type
`y_i` unrestricted in sign
eg: `y_1` unrestricted in sign





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4. Two-Phase method
(Previous method)
2. Example-1
(Next example)





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