Abstract
A Chebyshev semiiterative (JII-SI) method based on the optimum Jacobi second-degree iterative (JII) method is developed. A comparison of both methods and the conjugate gradient (CG) method is made by applying them to the two following classes of algebraic linear problems: systems with positive definite and consistently ordered matrix, and systems with positive definite and generalized stochastic matrix.
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