sensitive analysis

Sensitive Analysis Sensitivity Analysis is a systematic study of how, well, sensitive, the solutions of the LP are to small changes in the data. The basic idea is to be able to give answers to questions of the form:
1. If the objective function changes in its parameter ci , how does the solution change?
2. If the resources available change. how does the solution change?
3. If a new constraint is added to the problem, how does the solution change?
here we display two method,first method is graphically method and second method is Algebraic Sensitivity.graphically analysis take two state ,first when change happened in right hand side and other when change appear in objective function
in both state we computed range for each operation and determined effect they and who is maximum affect.in objective function first determine effect each proportional of each parameter which is decrease or increase and then select suitable rang for each proportional variables and who is more effect in optimal solution.
in algebraic method we take two state one is change happened in right hand side and other when change appear in objective function in same manner throw effect of each slack variable and select suitable range for each slack variable and then determined effect each slack variable and who is more effect than another