Nonlinear Optimization Solver

Nonlinear Optimization Solver: Nonlinear Optimization Solver finds the minimum of a function with constraints. Enter objective, variables, bounds, constraints, and click Solve.

How to Use:

1. Enter the objective function to minimize (e.g., x^2 + y^2).
2. Specify variables (e.g., x, y) and their bounds (e.g., x:[-1,1]).
3. Add constraints (e.g., x + y <= 1), one per line.
4. Click “Solve” to find the optimal solution.
5. Use “Copy Result” to copy the output.

Calculation Details:

• Objective: Minimize the user-defined function.
• Constraints: Supports inequality (≤) and equality (=).
• Solver: Uses SLSQP algorithm (local optimization).

Important Notes:

• Use valid mathematical expressions (e.g., x^2 for x squared).
• Bounds format: variable:[min,max], e.g., x:[-1,1].
• Constraints must include <= or =, e.g., x + y <= 1.
• Clipboard access requires HTTPS.