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It provides methods and algorithms for probability distributions, statistical analysis, numerical methods, optimization, machine learning, and Bayesian MCMC sampling — with a focus on hydrological and risk assessment applications.\n\n## Supported Frameworks\n\n| Framework | Version |\n|-----------|---------|\n| .NET | 10.0, 9.0, 8.0 |\n| .NET Framework | 4.8.1 |\n\nInstall via NuGet:\n```\ndotnet add package RMC.Numerics\n```\nOr search for [RMC.Numerics](https://www.nuget.org/packages/RMC.Numerics/) in the NuGet Package Manager.\n\n## Documentation\n\n**[User Guide and API Documentation](docs/index.md)** — Comprehensive documentation with code examples and mathematical explanations.\n\n| Section | Topics |\n|---------|--------|\n| [Mathematics](docs/mathematics/integration.md) | Integration, differentiation, optimization, root finding, linear algebra, ODE solvers, special functions |\n| [Data](docs/data/interpolation.md) | Interpolation, linear regression, time series analysis |\n| [Statistics](docs/statistics/descriptive.md) | Descriptive statistics, goodness-of-fit metrics, hypothesis tests |\n| [Distributions](docs/distributions/univariate.md) | 40+ univariate distributions, parameter estimation, uncertainty analysis, copulas, multivariate distributions |\n| [Machine Learning](docs/machine-learning/machine-learning.md) | GLM, decision trees, random forests, KNN, naive Bayes, k-means, GMM |\n| [Sampling](docs/sampling/mcmc.md) | MCMC (RWMH, ARWMH, DE-MCz, HMC, NUTS, Gibbs), random generation, convergence diagnostics |\n| [References](docs/references.md) | Consolidated bibliography |\n\n## Support\n\nUSACE-RMC is committed to maintaining and supporting the library with regular updates, bug fixes, and enhancements.\n\nThe repository includes a unit testing library with over 1,000 tests that also serve as usage examples for the classes and methods in the library.\n\n## Contributing\n\nContributions are welcome. Please see [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines on bug reports, feature requests, and pull requests.\n\n## License\n\nSee [LICENSE](LICENSE) for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fusace-rmc%2Fnumerics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fusace-rmc%2Fnumerics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fusace-rmc%2Fnumerics/lists"}