- What is feasible and infeasible solutions?
- What is the difference between feasible region feasible solution and optimal solution?
- What is basic feasible solution in LPP?
- How do you write a optimal solution?
- Why can’t solver find a feasible solution?
- What is the feasible region for a problem?
- What is optimum basic feasible solution?
- How do you know if a solution is optimal?
- What is optimal solution in linear programming?
- What is meant by feasible solution?

## What is feasible and infeasible solutions?

What is a feasible solution.

A feasible solution is one that satisfies all constraints.

Solutions that violate one or more constraints are called “infeasible.”.

## What is the difference between feasible region feasible solution and optimal solution?

The maximization or minimization of some quantity is the objective in all linear programming problems. A feasible solution satisfies all the problem’s constraints. An optimal solution is a feasible solution that results in the largest possible objective function value when maximizing (or smallest when minimizing).

## What is basic feasible solution in LPP?

In the theory of linear programming, a basic feasible solution (BFS) is a solution with a minimal set of non-zero variables. Geometrically, each BFS corresponds to a corner of the polyhedron of feasible solutions. If there exists an optimal solution, then there exists an optimal BFS.

## How do you write a optimal solution?

Optimal Solution: The optimal solution to an optimization problem is given by the values of the decision variables that attain the maximum (or minimum) value of the objective function over the feasible region. In problem P above, the point x∗ is an optimal solution to P if x∗ ∈ X and f(x∗) ≥ f(x) for all x ∈ X.

## 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 the feasible region for a problem?

In mathematical optimization, a feasible region, feasible set, search space, or solution space is the set of all possible points (sets of values of the choice variables) of an optimization problem that satisfy the problem’s constraints, potentially including inequalities, equalities, and integer constraints.

## What is optimum basic feasible solution?

A nonnegative vector of variables that satisfies the constraints of (P) is called a feasible solution to the linear programming problem. A feasible solution that minimizes the objective function is called an optimal solution.

## How do you know if a solution is optimal?

If there is a solution y to the system AT y = cB such that AT y ≤ c, then x is optimal.

## What is optimal solution in linear programming?

Definition: A solution to a linear program is a setting of the variables. Definition: A feasible solution to a linear program is a solution that satisfies all constraints. … Definition: An optimal solution to a linear program is the feasible solution with the largest objective function value (for a maximization problem).

## What is meant by feasible solution?

A feasible solution is a set of values for the decision variables that satisfies all of the constraints in an optimization problem. … A local optimal solution is one where there is no other feasible solution “in the vicinity” with a better objective function value.