sdynpy.fem.sdynpy_dof.by_condition_number

• Module: sdynpy.fem.sdynpy_dof

• Source: GitHub

Signature¶

def sdynpy.fem.sdynpy_dof.by_condition_number(sensors_to_keep, shape_matrix, return_condition_numbers=False)

Get the best set of degrees of freedom by mode shape condition number

This function accepts a shape matrix and returns the set of degrees of freedom that corresponds to the lowest condition number.

Parameters¶

• sensors_to_keep : int The number of sensors to keep.

• shape_matrix : np.ndarray A 2D or 3D numpy array. If it is a 2D array, the row indices should correspond to the degree of freedom and the column indices should correspond to the mode. For a 3D array, the first index corresponds to a “bundle” of channels (e.g. a triaxial accelerometer) that must be kept or removed as one unit.

• return_condition_numbers : bool (default False) If True, return a second value that is the condition number at each iteration of the technique.

Returns¶

• indices : np.array A 1d array corresponding to the indices to keep in the first dimension of the shape_matrix array (e.g. new_shape_matrix = shape_matrix[incies,...])

• returned_condition_numbers : list The condition number at each iteration. Returned only if return_condition_numbers is True.