Linear algebra

Linear algebra

Description

linear algebra functions

• balance - Diagonal scaling to improve eigenvalue accuracy.

• bandwidth - Lower and upper matrix bandwidth.

• chol - Cholesky factorization.

• cond - Condition number for inversion.

• condeig - Condition number with respect to eigenvalues.

• det - Matrix determinant.

• diff - Differences and approximate derivatives.

• eig - Eigenvalues and eigenvectors.

• expm - Computes the matrix exponential of a square matrix.

• gradient - Numerical gradient.

• inv - Matrix inverse.

• isbanded - Determine if matrix is within specific bandwidth.

• ishermitian - Computes if matrix is hermitian or skew-hermitian.

• issymmetric - Computes if matrix is symmetric.

• kron - Kronecker tensor product.

• logm - Computes the matrix logarithm of a square matrix.

• lu - LU matrix factorization.

• orth - Range space of a matrix.

• planerot - Givens plane rotation.

• rank - Rank of matrix.

• rcond - Inverse condition number.

• rref - Gauss-Jordan elimination.

• rsf2csf - Convert real Schur form to complex Schur form.

• schur - Schur decomposition.

• sqrtm - Computes the matrix square root of a square matrix.

• subspace - Angle between two subspaces.

• svd - Singular Value Decomposition.

• trace - Matrix trace.

• vecnorm - Vector-wise norm.