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User Manual | Methods | Optimization Methods | Steepest Descent

Steepest Descent

Steepest descent [Fogel92] is an optimization method that follows the direction of steepest descent on the hyper-surface of the objective function to find a local minimum. The direction of steepest descent is defined by the negative of the gradient of the objective function.

Options for Steepest Descent

Iteration Limit
This parameter is positive integer determining the maximum number of iterations the algorithm shall perform. The default is '100'.

This parameter is a positive value determining the tolerance with which the solution shall be determined. If the improvement between two steps is less than the tolerance the algorithm stops. The default is $10^{-6}$.