Package: mize 0.2.5.9000

The fg list | The parameters to optimize | Basic options | Defaults | Logging progress to console | Storing progress | Optimization Methods | Steepest Descent ("SD") | Broyden-Fletcher-Goldfarb-Shanno ("BFGS") | Limited-Memory BFGS ("L-BFGS") | Conjugate Gradient ("CG") | Nesterov Accelerated Gradient ("NAG") | Classical Momentum ("MOM") | Simplified Nesterov Momentum | Line Searches | Wolfe Line Search | Initial Step Size Guess | Initial Step Size Guess on First Iteration | Other Line Searches | Maximum function or gradient evaluations per line search | Adaptive Learning Rate Methods | Adaptive Restart

Metric Multi-Dimensional Scaling | The Metric MDS Cost Function | The Metric MDS Gradient | mize function and gradient | Improving the Efficiency of the Function and Gradient Routines

Creating an Optimizer | Initialize the Optimizer | A potential simplification | Start optimizing | Return value of mize_step | Step information | Convergence

Iteration tolerance | Function tolerance | Gradient tolerance | Step tolerance | Function and gradient count tolerance | A minor complication with convergence checking