ILNumerics Toolboxes Overview
All functions in the toolboxes are found as static members of the corresponding static classes exposed by the individual toolbox assemblies. Each toolbox comes as an individual assembly which is delivered with the regular ILNumerics install package and available for individual purchase. Next to the information found in subsequent sections, the class documentation is another useful source for further details.
Complete set of flexible, highly optimized functions and interpolation objects for interpolation of gridded and scattered data from gridded and scattered data. All popular interpolation methods are supported: linear, neighbors, cubic, polynomial, var. splines. In addition you'll find kriging interpolation for scattered data very useful. Read more.
Minimization (or maximization) on general nonlinear functions and problems.
- Nonlinear unconstrained solvers: BFGS, L-BFGS
- Nonlinear (bounded, equalty, inequalty) constrained solvers: BFGS, L-BFGS
- Nonlinear equation and least squares solver: Powell’s dog leg, Levenberg-Marquardt
Read more about the Optimization Toolbox.
The most common functions for statistical operations and several random number distributions are included. Read more about our Statistics Toolbox.
Machine Learning Toolbox
A number of machine learning algorithms are provided. Every algorithm is optimized for both: memory consumption and execution speed. The range of algorithms spreads from supervised to unsupervised algorithms and each provides a convenient variable parameter list.
Read more about our Machine Learning Toolbox.