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Short Description:
Dew Lab Studio is an object oriented numerical library for Visual Studio .NET 2005, 2008, 2010, 2012, 2013, users. Supports complex numbers, sparse matrices, math parser, probabilities, optimization, signal processing and statistic analysis routines.
Long Description 1:
Dew Lab Studio is an object oriented numerical library for Visual Studio .NET users. Features: Symmetric multiprocessing, complete support for complex numbers, math parser, polynomial handling , probabilities, unconstrained and bounded minimization, SVD, QR, LQ, and LU solvers, sparse matrices, toeplitz matrix solver, special functions, sparse matrices PLUS signal processing and statistical analysis routines...
Long Description 2:
Dew Lab Studio includes Dew Math library and additional signal analysis (Dew Signal) and statistical analysis (Dew Stats) add-on packages.
Features include:
- fast object oriented numerical library for VS2005, VS2008, 2010, 2012, 2013, 2015
- support for 64bit native mode
- take advantage of multi core CPU's automatically in your numerical applications
- ability to achieve optimal performance for numerical algorithms and speed up .NET floating point by 3-10x matching the speed of highly optimized unmanaged code
- LAPACK 3.4 based
- Complete support for complex numbers for all functions.
- Rich set of matrix and vector functions and operators.
- Solver for banded sparse matrices, Iterative sparse solvers, Direct sparse solver for non-symmetric matrices. Conversions support Banded, Dense, Sparse and Triplets matrix formats
- 23 probability distributions (PDF, CDF and inverse CDF function), special functions, optimization routines, random generators and distribution parameter estimation.
- superfast vectorized math expression parser and evaluator
- 1D and 2D FFT's, correlations and autocorrelations.
- arbitrary functions of matrix including square root of matrix and logarithm of matrix
Statistics
- Descriptive statistics
- Hypothesis testing
- Weighted/unweigted linear and multiple linear regression.
- Weighted/unweighted non-linear regression
- Time series analysis (ARMA, ARIMA, ARAR, MA, AR, ...)
- PCA, multivariante analysis, ...
Signal processing
- IIR filters (Cheybshev I and II, Butterworth and Elliptic).
- FIR filters (Remez and Kaiser) with complete filter design support.
- Standard and extended Kalman filtering
- Modulators/demodulators
- Non-linear filters
- Spectral analysis, cross spectral analysis and higher order bispectral analysis
- Conversions between different forms of transfer function
- Audio recording and playback components including ASIO
- interpolated FIR filters, DCT/IDCT
- real factor rate conversion
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