RIOT HOME
Linear
Programming
What is LP?
Handbook
Solver
2D Solver
Tools:
Linear Programming
|
User's Handbook
The hand book consists of the following sections:
How to submit a general problem to the solver.
The solvers used on this server will permit you to solve a general
linear problem
(for more information about linear problems and an introduction to linear
programming,
click here).
However, the solvers we use to solve the problems
require that the problems submitted are submitted under a
standard form. As a consequence, before submitting a problem to
the solver, you will need to
convert it to a standard form
- First, you will be asked to enter the dimensions of your problem
(dimension of the matrix, related to the number of constraints
and variables in your problem).
- Then, you will have to enter the data (matrix A and vectors B
and C).
- Then, you will have to select which method you want to use in
order to solve your problem (Simplex method or Dual simplex method).
- Last, the program will return you the optimal value of the
variables as well as the optimal value of the objective function (when
the problem is feasible and has an optimal solution), and the
computation time.
NOTE:
- If, when you enter the data of your problem, you leave some
empty boxes in A, B or C, then the software will put some zeros
in those empty boxes (default value).
- In case when the problem submited is infeasible,
the program will returm a
certificate of infeasibility.
- In case when the problem is unbounded, the program will return an
unboundedness certificate.
- In case when the problem has an optimal solution, the program
will return a
certificate of optimality.
Click here to enter your general problem
How to use the two-dimensional graphical interface
This particular software can be used to solve problems with two
variables only.
- First, you will be asked to enter the number of
"greater than" inequalities, "smaller than" inequalities
and equalities in the constraints.
- Then, you will be asked to enter the data (coefficients of your
constraints and of the objective function).
- Last, the software will return you with:
- The optimal solution.
- The geometric representation (colored in red in the plan) of the
feasible area that satisfies your constraints
- The line representing your objective function, where all the
points correspond to the same (optimal)
value of the objective function (colored in green).
- The point in the plan that
represents the optimal solution (colored in yellow).
Click here to enter your two-dimensional problem
[
Linear Programming |
What is LP |
Handbook |
Solver |
2D Solver
]
RIOT HOME
|