# Linear Programming Calculator

## Now, What Exactly Is A “Linear Programming Calculator”?

A linear programming calculator is a tool that helps you solve linear programming problems by finding the values of the variables that minimize or maximize the objective function.

## Free Linear Programming Calculator With Steps

This is a very simple tool for Linear Programming Calculator. Follow the given process to use this tool.

☛ Step 1: Enter the complete equation/value in the input box i.e. across “Provide Required Input Value:”

☛ Step 2: Click “Enter Solve Button for Final Output”.

☛ Step 3: After that a window will appear with final output.

Hope you found this Free Linear Programming Calculator useful. Do visit usefulknot.com for more.

## Formula for linear programming

Linear programming is a type of mathematical optimization problem that can be solved using a technique called linear algebra. In a linear programming problem, you are given a set of constraints and a set of variables, and you must find the optimal solution that meets all of the constraints.

## Linear Programming Definition

Linear programming is a method of optimization that seeks to find the values of variables that minimize or maximize a linear function subject to a set of constraints.

## Example of linear programming based on Formula

Linear programming is a method of solving optimization problems by finding the values of variables that minimize or maximize a linear function subject to constraints.

The general form of a linear programming problem is:

Minimize or maximize: c1x1 + c2x2 + … + cnxn

Subject to: a11x1 + a12x2 + … + a1nxn ≤ b1

a21x1 + a22x2 + … + a2nxn ≤ b2

am1x1 + am2x2 + … + amnxn ≤ bm

where x1, x2, …, xn are the decision variables, c1, c2, …, cn are the coefficients of the objective function, a11, a12, …, a1n are the coefficients of the first constraint, a21, a22, …, a2n are the coefficients of the second constraint, …, am1, am2, …, amn are the coefficients of the mth constraint, and b1, b2, …, bm are the right-hand sides of the constraints.

For example, consider