## What is meant by optimal value?

## What is meant by optimal value?

(definition) Definition: The minimum (or maximum) value of the objective function over the feasible region of an optimization problem.

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

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). A graphical solution method can be used to solve a linear program with two variables.

**What is the difference between optimal solution and feasible solution in LPP?**

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.

### What is the optimal value of a function?

The optimal Value function is one which yields maximum value compared to all other value function. When we say we are solving an MDP it actually means we are finding the Optimal Value Function.

### How do you find optimum value?

Optimal Value (y=k) The optimal value is the highest or the lowest point on the parabola. The optimal value, also known as the vertex of the parabola would be maximum if only the parabola opens down words. One opening upwards has a minimum value. It “Y” coordinate of the vertex.

**How do you determine an optimal solution?**

We determine the optimal solution to the LP by plotting (180x + 160y) = K (K constant) for varying K values (iso-profit lines). One such line (180x + 160y = 180) is shown dotted on the diagram.

## What is meant by optimal 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.

## What is optimal value in linear programming?

If a linear programming problem can be optimized, an optimal value will occur at one of the vertices of the region representing the set of feasible solutions. For example, the maximum or minimum value of f(x,y)=ax+by+c over the set of feasible solutions graphed occurs at point A,B,C,D,E or F .

**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. By = cB and AT y ≤ c.

### What is a maximum value of a function?

The maximum value of a function is the place where a function reaches its highest point, or vertex, on a graph. If your quadratic equation has a negative a term, it will also have a maximum value.