User guide

In this second chapter, we will take a look at a few examples that are designed to touch on the most important features of Knitro. It is not meant to be an extensive reference (see Reference manual for that matter) but, rather, to walk you through solving your first nonlinear optimization problems with Knitro thanks to a few simple and illustrative examples.

• Getting started
• Setting options
• Derivatives
• Multi-Start
• Mixed-integer nonlinear programming
• Complementarity constraints
• Nonlinear Least-Squares
• Algorithms
• Feasibility and infeasibility
• Parallelism
• The Knitro-Tuner
• Termination criteria
• Obtaining information
• Callbacks
• Problem modification and re-solving
• Other programmatic interfaces
• Special problem classes
• Tips and tricks
• The Knitro MPS file reader
• Bibliography