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Sparse matrices - QR, Hessenburg, Schur decompositions. #93
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Now, tensors are the only objects for which strides are computed. This helps more efficent indexing for tensors. However, strides are not needed for matrices and vectors and provided a small performance hit for operations on small matrices.
Some additional refactoring and clean-up.
Check for positive definiteness is now done in while computing decomposition and should add a significant performance boost when checking for positive definiteness.
…rages the Cholesky decomposition.
…ntations have been renamed and marked as deprecated.
…t double shift QR algorithm.
This new implementation fixed some old correctness issues as well as provides a significant performance increase as iterations of the QR algorithm were brought from O(n^3) to O(n^2).
Sonar no longer supports Java 11 for its runtime environment. Upgrade to Java 17.
Quality Gate failedFailed conditions |
SnoarCloud is just failing the code coverage check. When develop is merged into sparse, this will be enforced. |
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This branch has diverged significantly from its original purpose or sparse matrix implementation. As such, the completed work on sparse matrices and the improvements for the QR, Hessenburg, Schur decompositions are being merged back into the dev branch to allow for creation of new, more specific feature branches.