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Invers
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Linear Algebra 2
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Performs computations associated with matrices, including solution of linear systems of equations (even over-determined or inconsistent systems and solution by LU factors), matrix operations (add, subtract, multiply), finds determinant, trace, inverse, adjoint, QR or LU factors, eigenvalues, eigenvectors, establish the definiteness of a symmetric matrix, scalar multiplication, transposition, shift, create general, identity, or symmetric matrices
inversion, LU decomposition, singular value decomposition, eigenvalues. 3. Fast 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
function, math, linear systems, library, matrix, programming, curve fitting, vector, inversion
inversion, LU decomposition, singular value decomposition, eigenvalues. 3. Fast 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
function, math, linear systems, library, matrix, programming, curve fitting, vector, inversion
inversion, LU decomposition, singular value decomposition, eigenvalues. 3. Fast 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
function, math, linear systems, library, matrix, programming, curve fitting, vector, inversion
inversion, LU decomposition, singular value decomposition, eigenvalues. 3. Fast 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
function, math, linear systems, library, matrix, programming, curve fitting, vector, inversion
inversion, LU decomposition, singular value decomposition, eigenvalues. 3. Fast 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
function, math, linear systems, library, matrix, programming, curve fitting, vector, inversion
inversion, LU decomposition, singular value decomposition, eigenvalues. 3. Fast 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
function, math, linear systems, library, matrix, programming, curve fitting, vector, inversion