The routine may be called by the names f01fpf or nagf_matop_complex_tri_matrix_sqrt.
A square root of a matrix is a solution to the equation . A nonsingular matrix has multiple square roots. For a matrix with no eigenvalues on the closed negative real line, the principal square root, denoted by , is the unique square root whose eigenvalues lie in the open right half-plane.
f01fpf computes , where is an upper triangular matrix. is also upper triangular.
Björck Å and Hammarling S (1983) A Schur method for the square root of a matrix Linear Algebra Appl.52/53 127–140
Deadman E, Higham N J and Ralha R (2013) Blocked Schur Algorithms for Computing the Matrix Square Root Applied Parallel and Scientific Computing: 11th International Conference, (PARA 2012, Helsinki, Finland) P. Manninen and P. Öster, Eds Lecture Notes in Computer Science7782 171–181 Springer–Verlag
Higham N J (2008) Functions of Matrices: Theory and Computation SIAM, Philadelphia, PA, USA
1: – IntegerInput
On entry: , the order of the matrix .
2: – Complex (Kind=nag_wp) arrayInput/Output
Note: the second dimension of the array a
must be at least
On entry: the upper triangular matrix .
On exit: contains, if , the principal matrix square root, . Alternatively, if , contains an non-principal square root of .
3: – IntegerInput
On entry: the first dimension of the array a as declared in the (sub)program from which f01fpf is called.
4: – IntegerInput/Output
On entry: ifail must be set to , or to set behaviour on detection of an error; these values have no effect when no error is detected.
A value of causes the printing of an error message and program execution will be halted; otherwise program execution continues. A value of means that an error message is printed while a value of means that it is not.
If halting is not appropriate, the value or is recommended. If message printing is undesirable, then the value is recommended. Otherwise, the value is recommended. When the value or is used it is essential to test the value of ifail on exit.
On exit: unless the routine detects an error or a warning has been flagged (see Section 6).
6Error Indicators and Warnings
If on entry or , explanatory error messages are output on the current error message unit (as defined by x04aaf).
Errors or warnings detected by the routine:
has negative or semisimple, vanishing eigenvalues. The principal square root is not defined in this case; a non-principal square root is returned.
has a defective vanishing eigenvalue. The square root cannot be found in this case.
An internal error occurred. It is likely that the routine was called incorrectly.
On entry, .
On entry, and .
An unexpected error has been triggered by this routine. Please
See Section 7 in the Introduction to the NAG Library FL Interface for further information.
Your licence key may have expired or may not have been installed correctly.
See Section 8 in the Introduction to the NAG Library FL Interface for further information.
Dynamic memory allocation failed.
See Section 9 in the Introduction to the NAG Library FL Interface for further information.
The computed square root satisfies , where , where is machine precision. The order of the change in is to be interpreted elementwise.
8Parallelism and Performance
f01fpf is threaded by NAG for parallel execution in multithreaded implementations of the NAG Library.
f01fpf makes calls to BLAS and/or LAPACK routines, which may be threaded within the vendor library used by this implementation. Consult the documentation for the vendor library for further information.
Please consult the X06 Chapter Introduction for information on how to control and interrogate the OpenMP environment used within this routine. Please also consult the Users' Note for your implementation for any additional implementation-specific information.
The cost of the algorithm is complex floating-point operations; see Algorithm 6.3 in Higham (2008).
of complex allocatable memory is required by the routine.
If is a full matrix, then f01fnf should be used to compute the principal square root.
If condition number and residual bound estimates are required, then f01kdf should be used. For further discussion of the condition of the matrix square root see Section 6.1 of Higham (2008).
This example finds the principal matrix square root of the matrix