# What does it mean to minimize the objective function?

## What does it mean to minimize the objective function?

To minimize the objective function, we find the vertices of the feasibility region. A linear program can fail to have an optimal solution is if there is not a feasibility region. If the inequality constraints are not compatible, there may not be a region in the graph that satisfies all the constraints.

## How do you minimize a function?

If you do not want to manually plug these values into the function, you can instead use the second derivative test. Let D=fxxfyy−f2xy, evaluating D and all second partials at the critical points you have four options: If D>0 and fxx>0 you have a local minimum. If D>0 and fxx<0 you have a local maximum.

**How do you minimize and maximize a function?**

Exclude any critical points not inside the interval [a,b]. Add to the list the endpoints a,b of the interval (and any points of discontinuity or non-differentiability!) At each point on the list, evaluate the function f: the biggest number that occurs is the maximum, and the littlest number that occurs is the minimum.

**What does it mean to minimize a function?**

When we talk of maximizing or minimizing a function what we mean is what can be the maximum possible value of that function or the minimum possible value of that function. This can be defined in terms of global range or local range.

### How to minimize a function of two variables?

A recent question from a student working beyond what he has learned led to an interesting discussion of alternative methods for solving a minimization problem, both with and without calculus. f (x, y) = x 2 – 4xy + 5y 2 – 4y + 3 has a min value. Find the value of x and y when f (x, y) is minimum.

### When to use x ∈ integer in minimize?

x ∈ Integers can be used to specify that a particular variable can take on only integer values. If the constraints cannot be satisfied, Minimize returns { + Infinity, { x -> Indeterminate, … } }. Even if the same minimum is achieved at several points, only one is returned.

**When to use minimize with F and cons?**

If f and cons are linear or polynomial, Minimize will always find a global minimum. Minimize [ { f, cons }, x ∈ reg] is effectively equivalent to Minimize [ { f, cons ∧ x ∈ reg }, x]. For x ∈ reg, the different coordinates can be referred to using Indexed [ x, i]. Minimize will return exact results if given exact input.

**Which is the minimize function in Wolfram Language?**

Minimize[{f, cons}, {x, y.}] minimizes f subject to the constraints cons. Minimize[…, x \\[Element] reg] constrains x to be in the region reg. Minimize[…., dom] constrains variables to the domain dom, typically Reals or Integers.