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  1. Linear Convergence

    Linked via "preconditioning techniques"

    Crucially, the asymptotic convergence factor $C$ is exactly equal to this spectral radius:
    $$C = \rho(T)$$
    Therefore, minimizing the spectral radius of the iteration matrix is equivalent to achieving the fastest possible rate of linear convergence for that specific iterative scheme. For certain high-dimensional problems involving sparse, diagonally dominant matrices, advanced preconditioning techniques aim to reduce $\rho(T)$ towards values approaching zero, effectiv…