The examples are in the same script file.
For now, the examples include an ODE Solver and a Nonlinear System of Equations Solver.
ALGLIB is a cross-platform numerical analysis and data
processing library. It supports several programming languages (C++, C#, Pascal,
VBA) and several operating systems. ALGLIB features include:
- Linear algebra (direct
algorithms, EVD/SVD)
- Solvers (linear and nonlinear)
- Interpolation
- Optimization
- Fast Fourier transforms
- Numerical integration
- Linear and nonlinear
least-squares fitting
- Ordinary differential equations
- Special functions
- Statistics (descriptive
statistics, hypothesis testing)
- Data analysis
(classification/regression, including neural networks)
- Multiple precision versions of
linear algebra, interpolation optimization and others algorithms (using
MPFR for floating point computations)
https://skydrive.live.com/redir?page=view&resid=BDC87EF39B001785!4127&authkey=!APhhhblU-qv1InQ
Hi Celso. Hope all's well. Thanks for your F# work. I'm taking a Coursera MOOC -- Matrix using Python. Working on Refolding Planar Polygons by Iben O'Brien Demaine. A related paper -- "... We compared a C++ implementation of our energy approach to an implementation of [9] based on the CPLEX barrier solver for
ReplyDeletequadratic programs2, on two examples of closed chains. ..." http://graphics.berkeley.edu/papers/Cantarella-AED-2004-06/Cantarella-AED-2004-06.pdf also java prog demo --http://graphics.berkeley.edu/papers/Cantarella-AED-2004-06/ ... Best regards, PLH OOE Art