Simplex Method
Big-M • Dual Simplex • Sensitivity Analysis
About This Method
The Simplex Method is the foundation of Linear Programming optimization. It iteratively moves through vertices of the feasible region to find the optimal solution. This solver supports Big-M method for ≥ and = constraints, and includes sensitivity analysis.
💡 Tip: Supports decimal coefficients. Use - for empty coefficients
(treated as 0).
Problem Configuration
Problem Definition
Objective Function
Z =
Subject to Constraints
xᵢ ≥ 0 for all decision variables