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ID: 17540, MtxVec

by Janez Atmapuri Makovsek Email: Anonymous


MtxVec is an oriented numerical library for Delphi and C++ Builder users. Features: Symmetric multiprocessing, complete support to complex numbers, probabilities (19 distributions), optimization unit, SVD, QR, LQ, and LU solvers, special functions...
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For C++Builder, Version 6.0  to 6.0 173 downloads
Copyright: All rights reserved


Size: 4,642,277 bytes
Updated on Thu, 14 Feb 2002 05:28:21 GMT
Originally uploaded on Thu, 14 Feb 2002 05:19:54 GMT
SHA1 Hash: 1C0E3E47F72D5387F96C24689F6F2ACDC5666C88
MD5 Hash: 7067FBB40688DB2374253EE08AF37FA7

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Description
MtxVec is an object oriented numerical library for Delphi and C++ Builder users. The library features CPU specific optimizations and symmetric multiprocessing. Features: 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, 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, 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,
Polynomials: Finding roots, polynomial evluation, Cubic splines, Linear and cubic interpolation algorithms, construction and evaluation of piece-wise polynoms, deconvolution, filter
Optimization methods: Brent, BFGS, Marquardt and Nelder-Mead minimization methods, numerical gradient and Hessian matrix and more...

For more information, see www.dewresearch.com

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