Constrained Optimization Method – Steepest Descent Method (Also Known as Gradient Method)

Constrained Optimization Method – Steepest Descent Method (also called Gradient Method) is one of the earliest approaches developed for solving extremum problems of multivariable functions. This iterative algorithm utilizes gradient information to locate local minima through directional updates, with implementations often involving step size selection and convergence criteria.