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Extreme Optimization Mathematics Library for .NET
What's New Archive
What's new in the latest version.
What's New in Version 1.2
Version 1.2 of the Extreme Optimization Mathematics
Library for .NET was released on January 23, 2006.
New features:
- Complex linear algebra We added a full set of complex vector and matrix classes,
including dense, triangular, and hermitian matrices, and LU, QR and Cholesky decompositions.
- Non-linear curve fitting. Fit your data to non-linear curves using the Levenberg-Marquardt algorithm.
Use one of six predefined curves, including exponential, rational, Gaussian and logistic, or define your own.
- Optimization in one or more dimensions. We added a whole suite of optimizing algorithms.
Find the maximum or minimum of a function using the method best suited to your problem. Algorithms include:
Golden Section search and Brent's algorithm in one dimension, conjugate gradient and quasi-Newton (DFP and BFGS)
methods in multiple dimensions.
- Solving systems of non-linear equations With or without knowledge of the derivatives,
our algorithms produce excellent results, fast.
- Minor additions Lambert's W function. Numerical gradient and Jacobian.
Improved features:
- Enhanced numerical algorithm framework.
- Greater consistency of parameter names.
- More complete exception handling.
What's New in Version 1.1
Version 1.1 of the Extreme Optimization Mathematics
Library for .NET was released on June 22, 2005.
New features:
- Natural and clamped cubic splines;
- Piecewise constant and linear interpolation;
- Weighted polynomial least squares fits;
- Modified Bessel functions of the first and second kind of integer order;
- Logarithmic integral, E1 exponential integral;
Improved features:
- Increased usability of the numerical integration and equation solver
classes.
- Performance of some native matrix decomposition methods has
been increased by up to 50%.
We have a detailed list of the API
changes.
Initial Release Version 1.0
Version 1.0 of the Extreme Optimization Mathematics
Library for .NET was released on February 27, 2005.
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