Gnm.Matrix

Fields

Name	Type	Access	Description
cols	int	r/w
data	float	r/w
ref_count	int	r/w
rows	int	r/w

Methods

class	from_value (v, ep)
class	new (rows, cols)
	eigen (EIG)
	is_empty ()
	modified_cholesky (L, D, E, P)
	multiply (A, B)
	ref ()
	to_value ()
	unref ()

Details

class Gnm.Matrix

classmethod from_value(v, ep)

Parameters:

• v (Gnm.Value) – Gnm.Value

• ep (Gnm.EvalPos) – Evaluation location

Returns:

A new Gnm.Matrix, None on error.

perr:

Gnm.Value with error GOffice.value

Return type:

(Gnm.Matrix or None, perr: Gnm.Value)

classmethod new(rows, cols)

Parameters:

• rows (int) – Number of rows.

• cols (int) – Number of columns.

Returns:

A new Gnm.Matrix.

Return type:

Gnm.Matrix

eigen(EIG)

Parameters:

EIG (Gnm.Matrix) – Output Gnm.Matrix

Returns:

eigenvalues:

Output location for eigen values.

Return type:

(bool, eigenvalues: float)

Calculates the eigenvalues and eigenvectors of a real symmetric matrix.

This is the Jacobi iterative process in which we use a sequence of Jacobi rotations (two-sided Givens rotations) in order to reduce the magnitude of off-diagonal elements while preserving eigenvalues.

is_empty()

Returns:

True if self is empty.

Return type:

bool

modified_cholesky(L, D, E, P)

Parameters:

• L (Gnm.Matrix) –

• D (float) –

• E (float) –

• P (int) –

Return type:

bool

multiply(A, B)

Parameters:

• A (Gnm.Matrix) – Gnm.Matrix

• B (Gnm.Matrix) – Gnm.Matrix

Computes A * B and stores the result in C. The matrices must have suitable sizes.

ref()

Returns:

a new reference to self.

Return type:

Gnm.Matrix or None

to_value()

Returns:

A Gnm.Value array

Return type:

Gnm.Value

unref()