What is the difference between bounded and unbounded solution?
The solutions of a linear programming problem which is feasible can be classified as a bounded solution and an unbounded solution. The unbounded solution is a situation when the optimum feasible solution cannot be determined, instead there are infinite many solutions. It is not possible to solve the problem in which this situation occurs.
What is the criterion for unbounded solution?
Solution. x 1, x 2, x 3, x 4 ? 0. Where x 3 and x 4 are slack variables. Since minimum positive value is infinity, it is not possible to proceed with the simplex computation any further. This is the criterion for unbounded solution.
What is an unbounded solution to a linear programming problem?
Unbounded Solution – A linear programming problem is unbounded if its feasible region isn’t bounded and the solution is not finite. This means that at least one of your variables isn’t constrained and can reach up to positive or negative infinity, making the objective infinite as well.
What is an unbound method?
An unbound method was one where the function was a method, but without a instance it belonged to - it would throw an error if something other than an object instance was passed in to the method. Now, in 3.x, this has been changed.
Lecture 4 Special Cases in Graphical Method Linear Programming :