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Add ruvector-solver with 8 iterative solver algorithms: - Jacobi-preconditioned Neumann series for diagonally dominant systems - Conjugate Gradient (CG) for symmetric positive definite systems - Forward/Backward Push for Personalized PageRank - Hybrid Random Walk with Monte Carlo sampling - TRUE solver with JL projection and spectral sparsification - BMSSP multigrid preconditioner for ill-conditioned systems - Jacobi and Gauss-Seidel iterative solvers Includes intelligent algorithm router (SolverRouter/SolverOrchestrator), WASM bindings (ruvector-solver-wasm), Node.js NAPI bindings (ruvector-solver-node), Criterion benchmark suite, comprehensive validation, audit logging, and 143 passing tests. https://claude.ai/code/session_01TiqLbr2DaNAntQHaVeLfiR |
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| .. | ||
| helpers.rs | ||
| test_cg.rs | ||
| test_csr_matrix.rs | ||
| test_neumann.rs | ||
| test_push.rs | ||
| test_router.rs | ||
| test_validation.rs | ||