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Suppose a positive definite matrix has a small, well separated eigenvalue : 1 / 2 < < 1 Derive an error bound for conjugate gradient

Suppose a positive definite matrix has a small, well separated eigenvalue : 1/2<<1

Derive an error bound for conjugate gradient using the maximum value of a polynomial that is the product of a linear factor(1z)/1 and a(k1) degree Chebyshev polynomial on the interval [2,m].

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