Matrix
The matrix module defines a number of 2D matrix objects, notably the
ScipyMatrix()
and NumpyMatrix()
. Matrix objects support basic
addition and subtraction operations and provide a consistent insterface for
solving linear systems. Matrices can be converted to numpy arrays via
toarray
or scipy matrices via toscipy
.
-
class
nutils.matrix.
Matrix
(shape)[source]
matrix base class
-
cond
(constrain=None, lconstrain=None, rconstrain=None)[source]
condition number
-
res
(x, b=0, constrain=None, lconstrain=None, rconstrain=None, scaled=True)[source]
residual
-
class
nutils.matrix.
ScipyMatrix
(core)[source]
matrix based on any of scipy’s sparse matrices
-
rowsupp
(tol=0)[source]
return row indices with nonzero/non-small entries
-
solve
(rhs=None, constrain=None, lconstrain=None, rconstrain=None, tol=0, lhs0=None, solver=None, symmetric=False, callback=None, precon=None, **solverargs)[source]
-
class
nutils.matrix.
NumpyMatrix
(core)[source]
matrix based on numpy array
-
solve
(b=None, constrain=None, lconstrain=None, rconstrain=None, tol=0)[source]
-
nutils.matrix.
assemble
(data, index, shape, force_dense=False)[source]
create data from values and indices
-
nutils.matrix.
parsecons
(constrain, lconstrain, rconstrain, shape)[source]
parse constraints