Extreme Optimization Numerical Libraries for .NET 6.0 released

Extreme Optimization Numerical Libraries for .NET is a collection of general-purpose mathematical and statistical classes. It provides a complete platform for technical and statistical computing built on and for the Microsoft .NET platform. It combines a math library, a vector and matrix library and a statistics library in one convenient package.

Updates in 6.0

Universal Improvements

• Now includes one setup for both 32 and 64-bit operating systems.
• Libraries can now be installed as NuGet packages, for easier upgrading.
• New and updated QuickStart samples illustrate the new API.

Math Library

• Flexible genetic optimization framework.
• Dormand-Price adaptive RK ODE solver.
• Evaluation of orthogonal polynomials.
• Error functions for Quad precision numbers.
• Vector functions for complex single and double precision arguments.

Data Analysis Library

• Support for LINQ queries on data frames, vectors and matrices.
• New generic Descriptives class for collecting descriptive vector statistics.
• New Recurrence type lets you specify date/time patterns for use in, for example, the resampling of data frames.

Vector and Matrix Library

• All vector and matrix classes are now generic, including sparse matrices and complex versions.
• New mutability options now let you create read-only vectors, and writable vectors with copy-on-write semantics.
• Relational operators are now supported for generic matrices.
• The native libraries have been upgraded to Intel MKL version 11.3 Update 2.
• The native libraries now support Conditional Numerical Reproducibility.

Statistics Library

• Statistical models have been integrated with the DataFrame library.
• Models can be persisted in a form suitable for deployment in predictive modeling applications.
• New distribution classes have been added including truncated distributions and inverse Weibull.

About Extreme Optimization

Extreme Optimization was founded in 2003 with the goal of bringing numerical computing to the .NET platform. Their Numerical libraries are designed and built around the principles of robustness, ease of use, extensibility and performance. They are a Microsoft Visual Studio Industry Partner.