The .NET framework was designed to be the “lingua franca” for Windows development, with the expectation that it will set a new standard for building integrated software for Windows. However, it is inevitable that there is a time lag before .NET is fully adopted and existing applications are recoded. In particular, there is a large body of legacy code that will likely never be rewritten in .NET. To address this situation, Microsoft provides attributes, assembly, and marshaling. At the Numerical Algorithms Group (where I work), our particular interest in using these techniques is to utilize numerical software developed in C from within the .NET environment. Because C# is the premier .NET language, the examples I present here are in C#. While I use an example of data types that are current in the NAG C Library, the techniques I present are general enough for calling unmanaged code written in C from C# directly.
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Microsoft Excel is a spreadsheet program that allows you to manage numerical data. Excel spreadsheets are made up of columns that are named by letters, and rows that are indicated by numbers. Rows and columns can be labeled. The intersections of rows and columns are called cells. Every unique piece of data will be placed in a cell. Formulas are used to perform mathematical functions on data in a group of cells
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The IMSL C# Numerical Library for Microsoft® .NET Applications is a numerical analysis library written in 100% C#, providing broad coverage of advanced mathematics and statistics for the .NET Framework. Developers writing in C# or Visual Basic™ .NET (VB.NET) get seamless accessibility to analytics capabilities in the most integrated language for the .NET environment with the highest degree of programming productivity and ease of use with Visual Studio™.
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