seniorGradient Descent
What is gradient descent with constraint optimization?
Updated May 16, 2026
Short answer
It is Gradient Descent applied while satisfying constraints on parameters.
Deep explanation
Constrained optimization modifies Gradient Descent using methods like Lagrange multipliers, projected gradient descent, or penalty methods. These ensure that updates remain within feasible regions defined by constraints.
Real-world example
Training models with fairness or resource constraints.
Common mistakes
- Ignoring projection step after update.
Follow-up questions
- What is projected gradient descent?
- What are Lagrange multipliers?