Finding a Sparse Matrix Library for IML++

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SUMMARY

The discussion centers on finding a compatible matrix library for IML++ to solve a sparse linear system. The user initially attempted to use Sparse++, which is incompatible with their GCC 4.3 compiler due to its requirement for GCC 2.7. Recommendations provided include Eigen, Armadillo, and Boost as suitable alternatives that are compatible with modern compilers and offer good performance. Additionally, contacting IML++ developers for further suggestions is advised.

PREREQUISITES
  • Familiarity with IML++ for iterative methods in linear algebra.
  • Understanding of sparse linear systems and their solutions.
  • Knowledge of C++ compilers, specifically GCC versions.
  • Experience with matrix libraries such as Sparse++, Eigen, Armadillo, or Boost.
NEXT STEPS
  • Research Eigen library for sparse matrix operations and its integration with IML++.
  • Explore Armadillo for efficient linear algebra computations and compatibility with modern compilers.
  • Investigate Boost libraries for additional matrix functionalities and performance enhancements.
  • Contact IML++ developers for recommendations on compatible matrix libraries.
USEFUL FOR

Developers and researchers working with IML++ who need to solve sparse linear systems, as well as those seeking efficient matrix libraries compatible with modern C++ compilers.

Asuralm
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Hi all:

I need to solve a sparse linear system, I found the iterative methods library which probably fit my requirement. But I couldn't find any good matrix library to work with IML++. The best choice should be Sparse++ but it requires a very old compiler which is gcc 2.7. something like that. The gcc compiler in our lab is about 4.3, so I can't compile the library sparse++.

Does anyone know is there any other good matrix library which meets the requirements of the IML++ please?

Thanks
 
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Hi there,

Thank you for reaching out about your problem with finding a suitable matrix library for IML++. I understand that you have already tried Sparse++ but have been unable to use it due to compatibility issues with your lab's compiler. I would recommend looking into other matrix libraries such as Eigen, Armadillo, or Boost. These libraries are known for their performance and compatibility with modern compilers. Additionally, you may also want to consider reaching out to the developers of IML++ for any suggestions or recommendations on compatible matrix libraries. I hope this helps and good luck with your research!
 

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