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IPOPT, short for "Interior Point OPTimizer, pronounced I-P-Opt", is a software library for large scale nonlinear optimization of continuous systems.
Overview, Related Topics & Entities
Explore the main themes, entities and connections around IPOPT. Start with the topic map, then use the sections below for research and deeper semantic analysis.
Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the full topic structure. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
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Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
wächter andreas laird software fortran interior point nonlinear methods modeling environments provided using prize mpec ipopt-c mixed-integer coin-or ampl carl
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| IPOPT | Available in | C++ | 1.00 | infobox |
| IPOPT | Developers | Andreas Wächter, Carl Laird | 1.00 | infobox |
| IPOPT | License | Eclipse Public License | 1.00 | infobox |
| IPOPT | Operating system | UNIX, Linux, macOS, Microsoft Windows | 1.00 | infobox |
| IPOPT | Release | August 26, 2005; 20 years ago (2005-08-26) | 1.00 | infobox |
| IPOPT | Repository | github.com/coin-or/Ipopt | 1.00 | infobox |
| IPOPT | Stable release | 3.14.16 / April 22, 2024; 2 years ago (2024-04-22) | 1.00 | infobox |
| IPOPT | Website | github.com/coin-or/Ipopt | 1.00 | infobox |
| IPOPT | part of | the COIN-OR project.IPOPT is designed to exploit 1st derivative | 0.85 | text |
| AMPL | instance of | usually via automatic differentiation routines in modeling environments | 0.80 | text |
These clusters group vocabulary that occurs around closely connected concepts in the source material.
Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.