def dot(self, x): """Matrix-matrix or matrix-vector multiplication. Parameters ---------- x : array_like 1-d or 2-d array, representing a vector or matrix. Returns ------- Ax : array 1-d or 2-d array (depending on the shape of x) that represents the result of applying this linear operator on x. """ if isinstance(x, LinearOperator): return _ProductLinearOperator(self, x) elif np.isscalar(x): return _ScaledLinearOperator(self, x) else: x = np.asarray(x) if x.ndim == 1 or x.ndim == 2 and x.shape[1] == 1: return self.matvec(x) elif x.ndim == 2: return self.matmat(x) else: raise ValueError('expected 1-d or 2-d array or matrix, got %r' % x)
def __neg__(self): return _ScaledLinearOperator(self, -1)
def __rmul__(self, x): if np.isscalar(x): return _ScaledLinearOperator(self, x) else: return NotImplemented