# About

## About the MathAlgoDB knowledge graph

Numerical Algorithms are a principal tool for simulation, optimization or control.
Yet, finding a suitable algorithms to one's problem, software implementations of an algorithm, or surveys on certain algorithms is often hard.
**MathAlgoDB** aims to improve this by assigning metadata to algorithms as a community project, and make it searchable.

**MathAlgoDB** is a Knowledge Graph
for numerical algorithms with a web front-end providing a semantic search engine, a full-text search, and a browsable index.
The graph represents knowledge by relations between five classes of (meta-)data: problem, algorithm, benchmark, software, and publication,
which are defined in the MathAlgoDB ontology.

**MathAlgoDB** is not only for mathematicians from the fields numerical analysis, numerical linear algebra,
scientific computing, computational science and engineering, and data science,
but also for scientists, researchers, engineers, or students from all fields interested in numerical algorithms.

**MathAlgoDB** is a MaRDI (MAthematical Research Data Initiative) measure,
to make numerical research data FAIR (Findable, Accessible, Interoperable, Reusable),
particularly numerical algorithms and their meta-data.

Technically, **MathAlgoDB** is based on an RDF data model
in Turtle syntax,
served by Apache Jena Fuseki, and queried via SPARQL.

## List of editors

##### Clustering

##### Control Configuration Selection

##### Model Order Reduction

- Stephan Rave