Graphic LP Optimizer

Solve linear programming problems graphically with step-by-step optimization and visualization of feasible regions.

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About This Tool

The Graphic LP Optimizer Online is a powerful tool for solving linear programming problems using the Simplex method. It allows users to input variables, constraints, and an objective function, then computes the optimal solution and provides a graphical visualization of the feasible region and optimal point. This tool is ideal for students, engineers, and researchers needing to optimize resources under constraints.

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How to Use

Enter the number of decision variables and constraints.
Input coefficients for the objective function (maximize or minimize).
Fill in constraint coefficients, types (≤, ≥, =), and right-hand side values.
Click 'Optimize' to compute the solution.
View the optimal value, variable solutions, and graphical plot.

Frequently Asked Questions

Find Quick Answers

What is linear programming?

Linear programming is a mathematical method for optimizing a linear objective function subject to linear equality and inequality constraints.

How many variables and constraints can I input?

The tool supports up to 10 variables and 20 constraints for clear graphical visualization and efficient computation.

Can I solve minimization problems?

Yes, simply enter negative coefficients for the objective function to convert minimization to maximization, or specify in the input.

What graphical output does the tool provide?

It plots the feasible region as a polygon and marks the optimal solution point for problems with two variables.

Need to run multiple calculations?

Create a free account today to unlock unlimited daily runs, access advanced parameters, save your history, and request custom features.

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