Thank you Peter
在2022年11月5日星期六 UTC+8 15:21:42<peterr...@gmail.com> 写道:

> If it is not too expensive, I would copy the block vector to the normal 
> distributed vector. For this purpose, I use functions like these:
>
> ```
>     template <typename VectorType, typename BlockVectorType>
>     void
>     split_up_components_fast(const VectorType &src, BlockVectorType &dst)
>     {
>       for (unsigned int i = 0, j = 0;
>            i < src.get_partitioner()->locally_owned_size();
>            ++j)
>         for (unsigned int b = 0; b < dst.n_blocks(); ++b)
>           dst.block(b).local_element(j) = src.local_element(i++);
>     }
>
>     template <typename VectorType, typename BlockVectorType>
>     void
>     merge_components_fast(const BlockVectorType &src, VectorType &dst)
>     {
>       for (unsigned int i = 0, j = 0;
>            i < dst.get_partitioner()->locally_owned_size();
>            ++j)
>         for (unsigned int b = 0; b < src.n_blocks(); ++b)
>           dst.local_element(i++) = src.block(b).local_element(j);
>     }
> ```
>
> However, you have make sure that the DoFs are enumerated consistently for 
> LinearAlgebra::distributed::Vector.
>
> Peter
> On Saturday, 5 November 2022 at 07:21:40 UTC+1 yy.wayne wrote:
>
>> Hello,
>>
>> I assembled a matrix for a multi-component problem. I want to solve it 
>> with a direct solver, but neither Trilinos solver(SolverDirect amesos_klu) 
>> nor SparseDirectUMFPACK solver receive a 
>> LinearAlgebra::distributed::BlockVector as input. The Trilinos direct 
>> solver receives Vector and BlockVector, while SparseDirectUMFPACK solver 
>> receives LinearAlgebra::distributed::Vector. What direct solver should I 
>> use?
>>
>

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