Complete the code to import the preconditioner module from scipy.
from scipy.sparse.linalg import [1]
The spilu function is used to create an incomplete LU preconditioner.
Complete the code to create an incomplete LU preconditioner for matrix A.
M_x = spilu([1])b instead of the matrix.M before it is defined.The spilu function requires the matrix A to compute the preconditioner.
Fix the error in creating a LinearOperator for the preconditioner.
M = LinearOperator(A.shape, matvec=[1].solve)A instead of the preconditioner object.spilu itself instead of its result.The matvec parameter needs a function that applies the preconditioner, which is M_x.solve.
Fill both blanks to solve the linear system using the preconditioner.
x, info = cg([1], [2], M=M)
The conjugate gradient solver cg takes the matrix A and the right-hand side vector b as first arguments.
Fill all three blanks to create and apply a preconditioner in a solver.
M_x = spilu([1]) M = LinearOperator([2], matvec=M_x.solve) x, info = cg([3], b, M=M)
b instead of the matrix A for preconditioner.b instead of A to the solver.First, create the preconditioner from matrix A. Then create a LinearOperator with shape A.shape. Finally, solve the system with matrix A and vector b.