High-performance C++ implementations of iterative methods for solving large sparse linear systems and computing eigenvalues, including Conjugate Gradient, Preconditioned CG, Jacobi, Arnoldi, and QR-based solvers, optimized for memory efficiency and numerical stability.
cpp computational-mathematics scientific-computing high-performance-computing finite-difference sparse-linear-systems numerical-methods conjugate-gradient sparse-matrix poisson-equation numerical-linear-algebra qr-algorithm iterative-solvers power-iteration eigenvalue-algorithms matrix-computation pde-solvers rayleigh-quotient krylov-subspace arnoldi-method
-
Updated
Mar 8, 2026 - C++