Mada za sehemu hiiLinear ProgrammingMada 3
- Linear Programming Problems Formulation
- Graphical solution
- Transportation problems
Linear Programming is a branch of mathematics which enables one to solve problems in which the greatest or minimum/least value of a certain quantity is required under some given limitations or constraints.
Steps in formulating a linear programming problem.
- Read the problem several times and assess what is known and what is to be determined.
- Identify the unknown quantities and assign variables to them, be careful about the units.
- Determine the objective function; it involves the quantity to be maximized or minimized.
- Translate the constraints into linear inequalities. Constraints are limitations or restrictions to the problem; for each constraint the units must be the same.
- Graph the constraints and find the feasible solution.
- Find the corner points of the feasible solution. These are points of intersection of the graph.
- Evaluate the objective function. The highest value of the objective function has to be maximized or smallest value to be minimized.
Example
In a big organization, decisions about distribution in order to realize maximum profit or reduce costs of production are done by use of linear programming.
Limitations/constraints are translated by linear inequalities.
Greatest value or least value will be expressed as a function (called the objective function).
Drawing of linear inequalities
Example 01
Draw and show the half plane represented by
Solution
For ; draw
For x-intercept,
For y-intercept,
Using (0, 0) as a test point
(False)
Example 02
Determine the solution set of the simultaneous inequalities
Solution
draw (full line)
At x-intercept at y-intercept
For ,
At x-intercept at y-intercept,
Using (0, 0) as a test point
: , (F)
: , (T)
- The clear part is the solution set
- The solution set is called the feasible region
Example
Find the maximum and minimum value of subjected to
Solution
For
When
For
and
Line
For
and
Line
Test points: , shade left of ; , shade above the x-axis
| Corner points | C = 4x + 3y + 38 |
|---|---|
| A (5, 0) | 4(5) + 3(0) + 38 = 58 |
| B (5, 6) | 4(5) + 3(6) + 38 = 76 |
| C (0, 6) | 4(0) + 3(6) + 38 = 56 |
| D (0, 5) | 4(0) + 3(5) + 38 = 53 |
Therefore, the maximum value of and occurs at (5, 6).
The minimum value of and occurs at (0, 5).
Example
Find the maximum and minimum values of the given functions and the value of x and y where they occur.
(i)
Subject to
(ii)
Subject to
(iii)
Subject to
(iv)
Subject to
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