MtxVec1.02

Feature list:
1.) Matrix and vector:
2D Convolution, Eigenv values and eigvectors, generalized eigen values and
eigenvectors, 2D FFT, Inverse 2D FFT, Matrix Inverse, 2D real FFT, LQ and QR
decomposition,Least square fit, LU decomposition, Solving system of linear equations with
refinment and condition number, uniform and gaussian random number generators,
sorting, Singular value decomposition, solve system of equations by SVD decomposition,
sylvester equation, biased, normal and unbiased autocorrelation,Fast circular
convolution, fast cross correlation, forward and inverse discrete cosine transform, forward
and inverse FFT for all combinations of real and complex,Geortz'el algorithm for
frequency estimation, Hilbert transform, Teoplitz systems solution,

2.) Probability distributions PDF, CDF and Inverse CDF:

binomial, geometric, hypergeometric, negative binomial, Poisson, discrete
uniform, beta ,Cauchy, chi-squared, exponential, F, gamma, Maxwell, normal, Pareto,
Rayleigh, Student (T), Continuous uniform, Weibull,

3.) Special functions

complete elliptic integrals, Jacoby elliptic functions, Airy function and its derivative, Airy fun. of second kind and its derivative,Bessel functions: J, Y, I, K and H, associated Legendre polynomials,

4.) Polynomials

Finding roots, polynomial evluation, Cubic splines, Linear and cubic interpolation algorithms, construction and evaluation of piece-wise polynoms, deconvolution, filter

5.) Optimization methods

Brent, BFGS, Marquardt and Nelder-Mead minimization methods, numerical gradient and Hessian matrix

6.) In common to all topics:

+ Over 1200 well documented functions.
+ Highly Athlon, PII, PIII, PIV optimized code.
+ Full support for complex numbers
+ Your algorithm is immediatelly application ready
+ Direct access to web services with Delphi 6, no need to resort to java.
+ Direct access to databases, no plug in required
+ Interfaces Intel MKL and NSP