Version 4.0 has 2D charting in addition to new neural network classification algorithms, dense Linear Programming optimization, and a new random number generator, the Mersenne Twister Algorithm that improves accuracy in Monte Carlo simulations, and is widely used in financial applications.
C# Analytics
By Mike James, published on 01 Apr 2007
| Filed in
This article was originally published in VSJ, which is now part of Developer Fusion.
The IMSL C# Library contains algorithms for common business analytics such as profit maximization, product design optimization, supply chain efficiency optimization, and demand forecasting.
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