.NET / C# Numerical Library
Advanced numerical analysis
Simplify complex code by using a 100% native C# library. The IMSL Library for C# can be referenced from any .NET framework language including C#, F#, and Visual Basic .NET.
Version 6.5.2 of the IMSL Library for C# provides embeddable native C# analytics that includes mathematical, statistical, data mining and financial algorithms for the .NET framework.
Next Sigma, Inc
Achieve performance increases with new parallel computing capabilities
Since .NET framework 4.0, Microsoft has extended the threading capabilities of the .NET framework with the Task Parallel Library. The IMSL Library for C# has integrated these threading patterns into dozens of functions, resulting in easy access to parallel-processing performance increases that take advantage of multicore hardware.
Embed analytics in your C# application or SQL Server database
The algorithms available within the IMSL Library for C# cover all of the major categories of functionality commonly used in numerical analysis, from commonly used math and statistical analysis functions like optimization and regression to advanced neural network and classification technology. This math and statistical algorithm functionality can be applied to an unlimited set of applications, such as bioinformatics and life sciences, fraud detection, risk management and portfolio optimization, manufacturing yield analysis, and more. It is also effective for ASP.NET as well as ADO.NET implementations.
Functional areas included in the IMSL .NET Library:
|Linear Systems||Basic and Nonparametric Statistics||Function and Spline||Neural Network Engines|
|Eigensystem Analysis||Time Series and Forecasting||Line, Pie, Scatter, Bar, and Box||Neural Network Data Pre-processors|
|Interpolation and Approximation||Tests of Goodness of Fit||Polar, Area, Contour, and Histogram||NaÃ¯ve Bayes Classification|
|Nonlinear Equations||Regression||Date and Time Support|
|Optimization||Multivariate Analysis||Fully Interactive Capabilities|
|Finance and Bond Calculations||Probability Distribution Functions||High-Low-Close|
|Differential Equations||Random Number Generator||Heat Map and Tree Map|