| expm (a) | Loadable Function | 
| Return the exponential of a matrix defined as the infinite Taylor
series           expm(a) = I + a + a^2/2! + a^3/3! + ...
          The Taylor series is not the way to compute the matrix exponential; see Moler and Van Loan Nineteen Dubious Ways to Compute the Exponential of a Matrix SIAM Review, 1978. This routine uses Ward's diagonal Pade' approximation method with three step preconditioning (SIAM Journal on Numerical Analysis 1977). Diagonal Pade' approximations are rational polynomials of matrices                -1
          D (a)   N (a)
          whose Taylor series matches the first
 | 
| logm (a) | Function File | 
| Compute the matrix logarithm of the square matrix a. Note that this is currently implemented in terms of an eigenvalue expansion and needs to be improved to be more robust. | 
| [result error_estimate] = sqrtm (a) | Loadable Function | 
| Compute the matrix square root of the square matrix a. Ref: Nicholas J. Higham. A new sqrtm for MATLAB. Numerical Analysis Report No. 336 Manchester Centre for Computational Mathematics, Manchester England, January 1999. | 
| kron (a b) | Function File | 
| Form the kronecker product of two matrices defined block by block as           x = [a(i j) b]
          For example           kron (1:4 ones (3, 1))
                =>  1  2  3  4
                    1  2  3  4
                    1  2  3  4
           | 
| x = syl (a b, c) | Loadable Function | 
| Solve the Sylvester equation           A X + X B + C = 0
          using standard LAPACK subroutines.  For example          syl ([1 2; 3, 4], [5, 6; 7, 8], [9, 10; 11, 12])
               => [ -0.50000 -0.66667; -0.66667, -0.50000 ]
           |