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OptiVec for Delphi 4 5.2
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Fourier Transform techniques for efficient convolutions, correlation analyses, spectral filtering, etc., both one- and two-dimensional. 4. Curve fitting for a wide range of model functions from simple linear regression to non-linear models with multiple data sets. 5. Statistics. 6. Analysis (derivatives, integrals, extrema, interpolation). 7. Graphical representation of data in Cartesian coordinates. 8. Complex number math, both in cartesian and
function, math, linear systems, library, matrix, programming, curve fitting, vector, inversion
Fourier Transform techniques for efficient convolutions, correlation analyses, spectral filtering, etc., both one- and two-dimensional. 4. Curve fitting for a wide range of model functions from simple linear regression to non-linear models with multiple data sets. 5. Statistics. 6. Analysis (derivatives, integrals, extrema, interpolation). 7. Graphical representation of data in Cartesian coordinates. 8. Complex number math, both in cartesian and
function, math, linear systems, library, matrix, programming, curve fitting, vector, inversion
Fourier Transform techniques for efficient convolutions, correlation analyses, spectral filtering, etc., both one- and two-dimensional. 4. Curve fitting for a wide range of model functions from simple linear regression to non-linear models with multiple data sets. 5. Statistics. 6. Analysis (derivatives, integrals, extrema, interpolation). 7. Graphical representation of data in Cartesian coordinates. 8. Complex number math, both in cartesian and
function, math, linear systems, library, matrix, programming, curve fitting, vector, inversion
Fourier Transform techniques for efficient convolutions, correlation analyses, spectral filtering, etc., both one- and two-dimensional. 4. Curve fitting for a wide range of model functions from simple linear regression to non-linear models with multiple data sets. 5. Statistics. 6. Analysis (derivatives, integrals, extrema, interpolation). 7. Graphical representation of data in Cartesian coordinates. 8. Complex number math, both in cartesian and
function, math, linear systems, library, matrix, programming, curve fitting, vector, inversion
Fourier Transform techniques for efficient convolutions, correlation analyses, spectral filtering, etc., both one- and two-dimensional. 4. Curve fitting for a wide range of model functions from simple linear regression to non-linear models with multiple data sets. 5. Statistics. 6. Analysis (derivatives, integrals, extrema, interpolation). 7. Graphical representation of data in Cartesian coordinates. 8. Complex number math, both in cartesian and
function, math, linear systems, library, matrix, programming, curve fitting, vector, inversion
Fourier Transform techniques for efficient convolutions, correlation analyses, spectral filtering, etc., both one- and two-dimensional. 4. Curve fitting for a wide range of model functions from simple linear regression to non-linear models with multiple data sets. 5. Statistics. 6. Analysis (derivatives, integrals, extrema, interpolation). 7. Graphical representation of data in Cartesian coordinates. 8. Complex number math, both in cartesian and
function, math, linear systems, library, matrix, programming, curve fitting, vector, inversion