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.