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Simplex Method Calculator Simplex Method Calculator

Maximization Simplex Method Calculator

Simplex method maximization calculator for solving linear programming problems to find the maximum objective value.

Simplex Calculator

How Simplex Method Calculator Works

1

Enter the LP Problem

Type the objective function coefficients and every constraint row with its right-hand-side value.

2

Choose Maximize or Minimize

Pick your optimization goal. The tool builds the initial tableau with slack variables automatically.

3

Run the Pivot Iterations

The calculator identifies pivot column by Cj-Zj, computes ratios, performs elementary row operations until optimal.

4

Read the Optimal Solution

Final tableau displays optimal variable values, Zj row, and the maximum/minimum objective value.

Sample Simplex Tableau Output

Example tableau iteration for a 2-variable maximization problem

Basis x1 x2 s1 s2 RHS Cj-Zj
x1 14 0 0 1 14 0
x2 7 1 0 0 7 5
Zj 35 5 0 0 35

Maximizing the Objective

This maximization simplex method calculator finds the largest value of a profit or objective function subject to your ≤ constraints. The algorithm selects the most positive Cj − Zj as the entering variable and uses the minimum-ratio test for the leaving variable, repeating until no positive Cj − Zj remains.

Worked Example

For Maximize Z = 3x₁ + 5x₂ with x₁ + 2x₂ ≤ 14 and x₁ + x₂ ≤ 8, the optimum is x₁ = 2, x₂ = 6 and Z = 36. Enter your own coefficients to solve any maximization linear program with full tableau steps.

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Frequently Asked Questions

How to maximize using simplex method?

To maximize an objective function, input your coefficients and constraints. The calculator identifies the most negative Cj-Zj value as the entering variable and iterates until all Cj-Zj values are non-positive, indicating optimality.

How to find the maximum value in a simplex tableau?

The maximum objective value is found in the Zj row (or the objective function row) under the Right-Hand Side (RHS) column of the final optimal simplex tableau.

How does it choose the entering variable?

For maximization it selects the column with the most positive Cj-Zj value as the entering variable.

What constraints can I use?

You can use less-than, greater-than, or equal constraints; the calculator adds slack, surplus, or artificial variables as required.

What is the optimal value for the sample problem?

For Maximize Z equals 5x1 plus 4x2 with the sample constraints, the optimal value is Z equals 21.