Loading...

Linear programming


Linear programming
1)Convex polygon

2)Objective function, constraints eqn, non negativity condition

3)solution, feasible solultion,optimal solution

4)slack and surplus variable
5) Canonical form of LPP
    - Objective function maximum type
    - Constraint equation <= type
    - Variable are non negative
6)Standard form of LPP
   - objective function maximum type
   - variable are non negative
   - Elements in R.H.S are non negative
   - Constraints equation are as equation
7)Simplex method: It is method of reducing infinite number of solutions to a finite number of solution  by promishing the following facts:
    - If m constraints and (m+n)variables then n zero variables are known as non-basic variables and remaining m         variables are known as basic variables and they form a basic solution.
    - Basic feasible solution
    - If we change one basic and one non basic variable, eliminated variable is outgoing and new variable is                   incoming variable.
    - Optimal feasible solution or optimal solution
8) Working procedure of the simplex method :
   - Express in standard form
   - Find Basic optimal solution
9)  Artificial variable


123 Sample Rd, Samplington, SA 12345
(555) 0123