Compressed Banded Data Structure for Preconditioned Iterative Solver in Numerical Heat Transfer
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Bibliographic record
Abstract
In this article, a compressed data storage algorithm is developed for solving sparse banded matrix systems with a Control-Volume Based Finite Element Method (CVFEM) in numerical heat transfer. The storage method of Compressed Sparse Row (CSR) for allocating entries within a sparse matrix is re-designed for banded coefficient matrices. This involves sorting of non-zeroes to the appropriate section within the banded matrix. The proposed new algorithm is tested with an ILU(0) preconditioner and two Krylov iterative techniques, namely GMRES(m) (Generalized Minimal Residual) and Bi-CGSTAB (Bi-conjugate Gradient Stabilized).
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Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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