# What is unbounded solution?

## What is unbounded solution?

An unbounded solution of a linear programming problem is a situation where objective function is infinite. A linear programming problem is said to have unbounded solution if its solution can be made infinitely large without violating any of its constraints in the problem.

## What is multiple solution?

Multiple solutions of a linear programming problem are solutions each of which maximize or minimize the objective function under Simplex Method.

## What is bounded solution in LPP?

Bounded and Unbounded. Solution Regions. A solution region of a system of linear inequalities is bounded if it can be enclosed within a circle. If it cannot be enclosed within a circle, it is unbounded. The previous example had an unbounded solution region because it extended infinitely far to the left (and up and down …

## What is degeneracy in simplex method?

In other words, under Simplex Method, degeneracy occurs, where there is a tie for the minimum positive replacement ratio for selecting outgoing variable. … In this case, the choice for selecting outgoing variable may be made arbitrarily.

## What is infeasible solution in graphical method?

If there is no feasible area (there is no any point that satisfy all constraints of the problem), then this solution is called infeasible solution.Example.Find solution using graphical method.MAX Z = 6X1 – 4X2..

## How many methods are there to solve LPP?

Methods to Solve Linear Programming Problems The linear programming problem can be solved using different methods, such as the graphical method, simplex method, or by using tools such as R, open solver etc. Here, we will discuss the two most important techniques called the simplex method and graphical method in detail.

## What is unique solution in simplex method?

LetM denote the submatrix in an optimal simplex tableau with columns corresponding to degenerate optimal dual basic variables. A primal optimal solution is unique iff there exists a nonvacuous nonnegative linear combination of the rows ofM, corresponding to degenerate optimal primal basic variables, which is positive.

## What is zero level in simplex method?

(a) There is no vector corresponding to some artificial variable, in the basis yb. In such a, case, we proceed to step 4. (b) There is at least one vector corresponding to some artificial variable, in the basis yB, at the zero level. That is, the corresponding entry in XB is zero.

## What is unique solution formula?

Condition for Unique Solution to Linear Equations A system of linear equations ax + by + c = 0 and dx + ey + g = 0 will have a unique solution if the two lines represented by the equations ax + by + c = 0 and dx + ey + g = 0 intersect at a point. i.e., if the two lines are neither parallel nor coincident.

## What is optimal feasible solution?

An optimal solution is a feasible solution where the objective function reaches its maximum (or minimum) value – for example, the most profit or the least cost. A globally optimal solution is one where there are no other feasible solutions with better objective function values.

## Why can’t solver find a feasible solution?

This message appears when Solver could not find any combination of values for the decision variables that allows all of the constraints to be satisfied simultaneously. … Most often this is due to choosing the wrong relation (e.g. <= instead of >=) on an otherwise appropriate constraint.

## What is an infeasible solution?

Infeasible solution means there is no solution value that will satisfy all the constraints simultaneously. What is optimal solution in linear programming? Definition: An optimal solution to a linear program is the feasible solution with the largest objective function value (for a maximization problem).

## What is degenerate basic feasible solution?

Degenerate basic feasible solution: A basic feasible solution where one or more of the basic variables is zero. Discrete Variable: A decision variable that can only take integer values. Feasible Solution: A solution that satisfies all the constraints.