linalg.lib
Algorithmic Linear Algebra
Ivor Saynisch (ivs@math.tu-cottbus.de) Mathias Schulze (mschulze@mathematik.uni-kl.de)
Procedures:
D.3.2.1 inverse matrix, the inverse of A D.3.2.2 inverse_B list(matrix Inv,poly p),Inv*A=p*En ( using busadj(A) ) D.3.2.3 inverse_L list(matrix Inv,poly p),Inv*A=p*En ( using lift ) D.3.2.4 sym_gauss symmetric gaussian algorithm D.3.2.5 orthogonalize Gram-Schmidt orthogonalization D.3.2.6 diag_test test whether A can be diagonalized D.3.2.7 busadj coefficients of Adj(E*t-A) and coefficients of det(E*t-A) D.3.2.8 charpoly characteristic polynomial of A ( using busadj(A) ) D.3.2.9 adjoint adjoint of A ( using busadj(A) ) D.3.2.10 det_B determinant of A ( using busadj(A) ) D.3.2.11 gaussred gaussian reduction: P*A=U*S, S a row reduced form of A D.3.2.12 gaussred_pivot gaussian reduction: P*A=U*S, uses row pivoting D.3.2.13 gauss_nf gaussian normal form of A D.3.2.14 mat_rk rank of constant matrix A D.3.2.15 U_D_O P*A=U*D*O, P,D,U,O=permutation,diag,lower-,upper-triang D.3.2.16 pos_def test symmetric matrix for positive definiteness D.3.2.17 hessenberg Hessenberg form of M D.3.2.18 evnf eigenvalues normal form of (e[,m]) D.3.2.19 eigenvals eigenvalues with multiplicities of M D.3.2.20 minipoly minimal polynomial of M D.3.2.21 jordan Jordan data of M D.3.2.22 jordanbasis Jordan basis and weight filtration of M D.3.2.23 jordanmatrix Jordan matrix with Jordan data (e,s,m) D.3.2.24 jordannf Jordan normal form of M