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Owning Palette: Mathematics VIs

Use the Linear Algebra VIs to perform matrix-related computations and analysis.

Note  Many Linear Algebra VIs are available only in the LabVIEW Full and Professional Development Systems. If you have the LabVIEW Base Package, you do not have the full set of the Linear Algebra VIs described in this help file. A subset of the Linear Algebra VIs is available in the LabVIEW Base Package.

The VIs on this palette can return general LabVIEW error codes or specific mathematics error codes.

Palette Object	Description
A x B	Performs the multiplication of two input matrices or an input matrix and an input vector. The data types you wire to the A and B inputs determine the polymorphic instance to use.
Back Transform Eigenvectors	Transforms the eigenvectors of a balanced matrix to those of the original matrix. The data type you wire to the Eigenvectors input determines the polymorphic instance to use.
Cholesky Factorization	Performs Cholesky factorization on a symmetric or Hermitian positive definite matrix. The data type you wire to the A input determines the polymorphic instance to use.
Create Real Matrix From EigenValues	Generates a real matrix from Eigenvalues.
Create Special Matrix	Generates a special matrix based on matrix type. The data types you wire to the Input Vector2 and Input Vector1 inputs determine the polymorphic instance to use.
Determinant	Computes the determinant of Input Matrix. The data type you wire to the Input Matrix input determines the polymorphic instance to use.
Dot Product	Computes the dot product of X Vector and Y Vector. The data types you wire to the X Vector and Y Vector inputs determine the polymorphic instance to use.
EigenValues and Vectors	Finds the eigenvalues and right eigenvectors of the square Input Matrix. The data type you wire to the Input Matrix input determines the polymorphic instance to use.
Generalized Eigenvalues and Vectors	Computes the generalized right eigenvalues and eigenvectors of the matrix pair A and B. The data types you wire to the A and B inputs determine the polymorphic instance to use.
Hessenberg Decomposition	Performs the Hessenberg decomposition of Input Matrix. The data type you wire to the Input Matrix input determines the polymorphic instance to use.
Inverse Matrix	Finds Inverse Matrix, if it exists, of Input Matrix. The data type you wire to the Input Matrix input determines the polymorphic instance to use.
Kronecker Product	Calculates the Kronecker product of the input matrices A and B. The data types you wire to the A and B inputs determine the polymorphic instance to use.
LU Factorization	Performs the LU factorization of A. The data type you wire to the A input determines the polymorphic instance to use.
Lyapunov Equations	Solves the Lyapunov matrix equation. The data types you wire to the A and B inputs determine the polymorphic instance to use.
Matrix Balance	Balances the general matrix Input Matrix to improve the accuracy of computed eigenvalues and eigenvectors. The data type you wire to the Input Matrix input determines the polymorphic instance to use.
Matrix Characteristic Polynomial	Computes the characteristic polynomial of Input Matrix.
Matrix Condition Number	Computes the condition number of Input Matrix. The data type you wire to the Input Matrix input determines the polymorphic instance to use.
Matrix Exp	Computes the exponential of Input Matrix. The data type you wire to the Input Matrix input determines the polymorphic instance to use.
Matrix Logarithm	Computes the natural logarithm of Input Matrix. The data type you wire to the Input Matrix input determines the polymorphic instance to use.
Matrix Norm	Computes the norm of Input Matrix. The data type you wire to the Input Matrix input determines the polymorphic instance to use.
Matrix Power	Computes the nth power of Input Matrix. The data type you wire to the Input Matrix input determines the polymorphic instance to use.
Matrix Rank	Computes the rank of Input Matrix. The data type you wire to the Input Matrix input determines the polymorphic instance to use.
Matrix Square Root	Computes the square root of Input Matrix. The data type you wire to the Input Matrix input determines the polymorphic instance to use.
Outer Product	Computes the outer product of X Vector and Y Vector. The data types you wire to the X Vector and Y Vector inputs determine the polymorphic instance to use.
PseudoInverse Matrix	Finds the PseudoInverse Matrix of Input Matrix. The data type you wire to the Input Matrix input determines the polymorphic instance to use.
QR Decomposition	Performs the QR decomposition of A with or without column pivoting. The data type you wire to the A input determines the polymorphic instance to use.
QZ Decomposition	Performs the QZ decomposition of a pair of square matrices. The data types you wire to the A and B inputs determine the polymorphic instance to use.
Schur Decomposition	Performs the Schur decomposition of a square matrix. The data type you wire to the Input Matrix input determines the polymorphic instance to use.
Solve Linear Equations	Solves a linear system AX = Y. The data types you wire to the Input Matrix and Known Vector inputs determine the polymorphic instance to use.
SVD Decomposition	Computes the singular value decomposition (SVD) of the m × n matrix A. The data type you wire to the A input determines the polymorphic instance to use.
Sylvester Equations	Solves the Sylvester matrix equation. The data types you wire to the A, B, and C inputs determine the polymorphic instance to use.
Test Positive Definite	Tests whether Input Matrix is a complex-conjugate symmetric and positive definite matrix. The data type you wire to the Input Matrix input determines the polymorphic instance to use.
Trace	Finds the trace of Input Matrix. The data type you wire to the Input Matrix input determines the polymorphic instance to use.
Transpose Matrix	Transposes Input Matrix. If Input Matrix is a complex matrix, the VI performs conjugate transposition. The data type you wire to the Input Matrix input determines the polymorphic instance to use.