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.
Full Text 
Sign-in/Register to access full text options
Sign-in/Register to access full text options 
Published version (
Free)
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
