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ID: 24385, Dew Lab Studio

by Janez Atmapuri Makovsek Email: Anonymous

Dew Lab Studio is a set of products for science and engeering. It includes modules for vectorized math, linear algebra, statistics and signal processing.
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For Delphi, Version 6.0  to 11.0 78 downloads
Copyright: All rights reserved

Size: 10,563,903 bytes
Updated on Wed, 14 Mar 2007 15:04:04 GMT
Originally uploaded on Thu, 22 Feb 2007 12:58:26 GMT
SHA1 Hash: FC544389A243E8B602C54204E905C48BF9A8A03D
MD5 Hash: D80EF8526DB0DD861630759889FF8667

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Dew Lab Studio is a set of products for science and engeering. It includes modules for vectorized math and linear algebra (MtxVec), statistics (Stats Master) and signal processing (DSP Master).MtxVec is an object oriented numerical library for Delphi and .NET developers with complete matrix/vector arithmetic. It features a large set of vectorized mathemathical functions which cover complex numbers, sparse matrices, math parser, probabilities, optimization unit, SVD, QR, LQ, and LU solvers, special functions, and more. All applications based on this library take advantage of CPU-specific code optimization and symmetric multiprocessing. Efficient memory and CPU cache management further enhance its performance.DSP Master signal processing package for Delphi features: IIR (butterworth, chebyshev, elliptic, bessel) and FIR (window, Remez exchange) filter designers. Over 40 included components feature: Support for streaming pipelines, frequency analyzer, higher order spectral analyzer, cross spectral analyzer, signal generator, read/write file support, audio playback and recording, and much more.The Stats Master statistical package for Delphi includes: 21 different distributions (PDF, CDF and inverse CDF function), mean and variance for all 21 distributions, random generators for 18 distributions, parameter estimate for beta, binomial, exponential, gamma, geometric, normal, Poisson, continuous uniform and Weibull distributions, histograms, ogives nth-Moment, percentile, range, Interquertile Range IQR, mean, harmonic mean, goodness-of-fit tests and more. Data miner is a set of components for classification for Borland Delphi and C++Builder written in 100% VCL. The algorithms included cover: KNN and Naive Bayes plus a third completely new algorithm named Linear Classifier. The algorithms can work on real and discrete data and can be connected to a TDataSet descendant. They appropriately handle missing data and are all capable of incremental learning.

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