November 16th,
2004
Release of KNITRO 4
Ziena
Optimization and Artelys announce the release of version
4 of the nonlinear optimization software package KNITRO. This
new version benefits from major algorithmic additions that
reinforce KNITRO's efficiency on a wide range of models. KNITRO
is developed by Ziena Optimization and distributed in continental
Europe by Artelys.
New features
An active set algorithm is now available in KNITRO. The interior
point algorithm has been improved. KNITRO is today the only
nonlinear optimization package to offer these two approaches,
widely acknowledged as the most efficient ones to handle problems
with inequality constraints.
The active set option is recommended for detecting infeasibility
- or finding feasible points quickly if problem is feasible.
It is also especially beneficial when solving a sequence of
related problems and the solution of one problem can be used
to "warm start" the solution of the next problem.
On the other hand, the interior point algorithm is suitable
for the solution of large scale models with many inequality
constraints (without a priori information on their activity).
A new specialized version of KNITRO makes it possible to take
the particular structure of linear and quadratic models into
account and further improve performance.
You will find out more about KNITRO here.
About Ziena Optimization
Ziena Optimization is committed to develop
high performance nonlinear optimization software to satisfy
the emergent and growing market of nonlinear optimization-based
applications. Ziena also provides consulting services to model
and solve the hardest optimization problems of all kinds.
Ziena is a spin-off of Northwestern University.
About Artelys
Artelys is a company specializing in optimization, which defines
and creates decision-support systems based on optimization
techniques, operational research and statistical analysis.
Artelys offers the following services: consulting in modeling
and strategic optimization, design and development of specific
software, distribution and development of numerical optimization
components, research and development studies, training in
numerical optimization, statistical analysis and modeling
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