Tutorials Unconstrained Optimization Gradients and Hessians Configurable options Line search Algorithm choice Preconditioning Complex optimization Manifold optimization Dealing with constant parameters Nonlinear constrained optimization Maximum Likelihood Estimation: The Normal Linear Model Conditional Maximum Likelihood for the Rasch Model