Knitro¶

Artelys Knitro is an especially powerful nonlinear solver, offering a range of state-of-the-art algorithms and options for working with smooth objective and constraint functions in continuous and integer variables. It is designed for local optimization of large-scale problems with up to hundreds of thousands of variables.

How to use it¶

ampl: option solver knitro; # change the solver
ampl: option knitro_options 'option1=value1 option2=value2'; # specify options
ampl: solve; # solve the problem

How to install using amplpy:

# Install Python API for AMPL:
$ python -m pip install amplpy --upgrade

# Install AMPL & solver modules:
$ python -m amplpy.modules install knitro # install Knitro

# Activate your license (e.g., free ampl.com/ce or ampl.com/courses licenses):
$ python -m amplpy.modules activate <your-license-uuid>

How to use:

from amplpy import AMPL
ampl = AMPL()
...
ampl.solve(solver="knitro", knitro_options="option1=value1 option2=value2")

Learn more about what we have to offer to implement and deploy Optimization in Python.

Options¶

Full list of solver options:

KNITRO Options

Changelog¶

KNITRO Changelog
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CONOPT Changelog

KNITRO Options