Version 1.0b1 API Documentation generated by Endo 2006-08-14

Variables

• LinAlgError

  LinAlgError = linalg.LinAlgError
  
  

Function summary

• Heigenvalues(a, UPLO = 'L')
• Heigenvectors(A)
• cholesky_decomposition(a)
• determinant(a)
• eigenvalues(a)
• eigenvectors(A)
• generalized_inverse(a, rcond = 1e-010)
• inverse(a)
• linear_least_squares(a, b, rcond = 1e-010)
• singular_value_decomposition(A, full_matrices = 0)
• solve_linear_equations(a, b)

Functions

• Heigenvalues(a, UPLO = 'L')
• Heigenvectors(A)
• cholesky_decomposition(a)
• determinant(a)
• eigenvalues(a)
• eigenvectors(A)
• generalized_inverse(a, rcond = 1e-010)
• inverse(a)
• linear_least_squares(a, b, rcond = 1e-010)

  returns x,resids,rank,s
  where x minimizes 2-norm(|b - Ax|)
        resids is the sum square residuals
        rank is the rank of A
        s is the rank of the singular values of A in descending order
  
  If b is a matrix then x is also a matrix with corresponding columns.
  If the rank of A is less than the number of columns of A or greater than
  the number of rows, then residuals will be returned as an empty array
  otherwise resids = sum((b-dot(A,x)**2).
  Singular values less than s[0]*rcond are treated as zero.
  

• singular_value_decomposition(A, full_matrices = 0)
• solve_linear_equations(a, b)

Imported names