INAF.Libraries.Net.Math TECHNICAL REPORT
This solution is a set of reusable .NET class libraries centered on numerical processing, scientific data handling, and parallel execution support. The main project, `INAF.Libraries.Net.Math`, provides algorithms and models for fitting, smoothing, clustering, contour extraction, and statistical analysis. It is supported by two utility libraries: `INAF.Libraries.Net.Extensions` for general-purpose extension methods and `INAF.Libraries.Net.Parallelization` for controlled parallel execution.The codebase targets `net10.0`, uses nullable reference types, and follows a modular structure organized by domain areas such as `Fit`, `Stats`, `Smoothing`, `Models`, and `Clustering`.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-03-24
- DOI
- https://doi.org/10.5281/zenodo.19205375
- Primary Topic
- Data Analysis with R
- Type
- article
- Field-Weighted Citation Impact
- 0.00