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

, 20 Dec 2007
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.

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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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