pyuncertainnumber.pba.intervals.mat_features

Functions

consume_interval(low, high)	initialise an interval matrix from low, high arrays;
create_interval(matrix[, half_width])	mannually create an interval matrix from a numpy array
dot(x, y)
rowcol(W, x)	marco's original implementation of the rowcol function
rowcol2(x, W)	Leslie changed the argument order for notational convecience original implementation of the rowcol function
consume_list(list_intervals)	consume a list of interval matrices into a single interval matrix
intvl_matmul(x, W)	draft matrix multiplication function for interval matrices

Module Contents

pyuncertainnumber.pba.intervals.mat_features.consume_interval(low, high)

initialise an interval matrix from low, high arrays;

Note

initialise from the shape (2, m, n) as preferred;

Example

low = np.arange(9).reshape(3,3) high = np.arange(10, 19).reshape(3,3)

pyuncertainnumber.pba.intervals.mat_features.create_interval(matrix, half_width=0.1)

mannually create an interval matrix from a numpy array

pyuncertainnumber.pba.intervals.mat_features.dot(x, y)

pyuncertainnumber.pba.intervals.mat_features.rowcol(W, x)

marco’s original implementation of the rowcol function

pyuncertainnumber.pba.intervals.mat_features.rowcol2(x, W)

Leslie changed the argument order for notational convecience original implementation of the rowcol function

Parameters:

W (-) – have to be a vector;

pyuncertainnumber.pba.intervals.mat_features.consume_list(list_intervals)

consume a list of interval matrices into a single interval matrix

! of no use now .. note:: - being used for interval matrix multiplication

pyuncertainnumber.pba.intervals.mat_features.intvl_matmul(x, W)

draft matrix multiplication function for interval matrices

Note

• can be used for general matrix multiplication

Returns:

• an interval matrix