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Posted 19 Dec 2007

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High Performance Applications with Advanced Numerical Analysis on the .NET Framework

20 Dec 2007CPOL15 min read
This article looks at strengths of the .NET platform regarding numerical analysis, tips for increased performance of .NET applications, capabilities of IMSL C# Numerical Library for Microsoft .NET applications, and features that allows the .NET Framework to be used for advanced analytics.

This article is in the Product Showcase section for our sponsors at CodeProject. These articles are intended to provide you with information on products and services that we consider useful and of value to developers.

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

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About the Author

Visual Numerics, Inc.
Product Manager Visual Numerics, Inc.
United States United States
Edward Stewart received his Ph.D. in physical ocean science and engineering from the University of Delaware. Ed has experience in many quantitative areas including quantification and interpretation of statistics and probability, coordination and analysis of large data sets, frequency domain time series analysis, ordinary and partial differential equations, finite difference numerical modeling, and nonlinear dynamics. He has also been a major contributor in the development of new features and algorithms in PV-WAVE and the IMSL Numerical Libraries. Ed has published journal articles on experimental fluid dynamics and technical documents regarding Visual Numerics' products, and his work involving complex mathematical modeling has been published in areas relevant to his field.
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