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C# Numerical Library

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The IMSL C# Numerical Library is the only mathematical and statistical library written in 100% Microsoft Visual C# .NET for complete compatibility and scalability with the Microsoft .NET Framework.

With the IMSL C# Library, developers using Microsoft Visual Studio .NET 2003 can create advanced business analytics applications to help organizations gain valuable insight into business data, including previously undetected trends and relationships. Based on more than three decades of Visual Numerics’ technical computing and algorithm development experience, the highly reliable mathematical and statistical algorithms found in the IMSL C# Library deliver to developers using Microsoft Visual C# .NET and Visual Basic .NET a level of analysis previously found only in high-performance computing environments.

“Microsoft is pleased that this new offering is available for the .NET Framework. The IMSL C# Library meets the growing need for advanced analytics for business users in a broadly accessible environment,” said Dan Fernandez, Visual C# .NET product manager in the .NET Developer Product Management Group at Microsoft Corp. “By building on Visual C# .NET to accommodate mathematics for high-end analytics, developers can now build even more sophisticated analytics applications with the level of accuracy and reliability that high-performance computing programmers have had for decades.”

Visual Numerics has achieved this increased performance by taking Visual C# .NET to a new level and building on the mathematical framework of the language, significantly increasing the high-performance analytics capabilities available for the .NET Framework. For the first time, developers using Microsoft .NET have the ability to build advanced analytics into applications without having to wrangle with the inefficiencies and difficulties of wrapped code or deal with versioning or component registration challenges.

“The scale and sophistication of our .NET Framework-based applications are increasing rapidly,” said Professor W.K. Li, Chair Professor in Statistics of The University of Hong Kong. “Visual Numerics’ IMSL C# Library has reduced our development time by providing fully tested and supported analysis tools that expand our advanced analytics capabilities within our Visual Studio .NET development environment. With the IMSL C# Library we will be able to make world-class numerical analysis applications available to business users who need insight into critical information in areas such as marketing, finance, manufacturing and online services, just to name a few.”

Today’s business managers are increasingly called upon to be able to more accurately predict and forecast business performance. To meet this challenge, they are utilizing business analytics applications, specifically those capable of performing high-level data analysis. The IMSL C# Library enables developers using Visual C# .NET or Visual Basic .NET to meet these needs using proven code that they can quickly and easily embed into applications. Key benefits of the IMSL C# Library include the following:

– Written in 100% Visual C# .NET, the IMSL C# Library requires a minimal learning curve. Developers can write an application in Visual C# .NET or Visual Basic .NET and seamlessly use the IMSL C# Library as the analysis engine.

– The algorithms in the IMSL C# Library interact easily with a broad range of charting and visualization packages, including Excel, .NET Framework utilities and third party vendors.

– The IMSL C# Library, which includes user-friendly nomenclature of descriptive function names, significantly shortens development time and promotes standardization.

“We are committed to staying ahead of the industry and offering our customers the highest quality, most sophisticated numerical analysis solutions for every mainstream platform,” said Phil Fraher, COO of Visual Numerics. “Visual Numerics is proud to be the first company to bring such strong analytics to business users on the .NET Framework, one of today’s most accessible development environments.”

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C# Numerical Library
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