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2 changes: 1 addition & 1 deletion chapter4/solvers.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -208,7 +208,7 @@
"For large problems, we instead need to use an iterative method which are faster and require less memory.\n",
"## Choosing a linear solver and preconditioner\n",
"As the Poisson equation results in a symmetric, positive definite system matrix, the optimal Krylov solver is the conjugate gradient (Lagrange) method. The default preconditioner is the incomplete LU factorization (ILU), which is a popular and robous overall preconditioner. We can change the preconditioner by setting `\"pc_type\"` to some of the other preconditioners in petsc, which you can find in at [PETSc KSP solvers](https://petsc.org/release/manual/ksp/#tab-kspdefaults) and [PETSc preconditioners](https://petsc.org/release/manual/ksp/#tab-pcdefaults).\n",
"You can set any opition in `PETSc` through the `petsc_options` input, such as the absolute tolerance (`\"ksp_atol\"`), relative tolerance (`\"ksp_rtol\"`) and maximum number of iterations (`\"ksp_max_it\"`)."
"You can set any option in `PETSc` through the `petsc_options` input, such as the absolute tolerance (`\"ksp_atol\"`), relative tolerance (`\"ksp_rtol\"`) and maximum number of iterations (`\"ksp_max_it\"`)."
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{
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