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ASYNCHRONOUS RELAXED ITERATIVE METHODS FOR SOLVING LINEAR SYSTEMS OF EQUATIONS 被引量:3
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作者 谷同祥 《Applied Mathematics and Mechanics(English Edition)》 SCIE EI 1997年第8期801-806,共6页
In this paper, the asynchronous versions of classical iterative methods for solving linear systems of equations are considered. Sufficient conditions for convergence of asynchronous relaxed processes are given for H-m... In this paper, the asynchronous versions of classical iterative methods for solving linear systems of equations are considered. Sufficient conditions for convergence of asynchronous relaxed processes are given for H-matrix by which nor only the requirements of [3] on coefficient matrix are lowered, but also a larger region of convergence than that in [3] is obtained. 展开更多
关键词 asynchronous iterative method relaxed method linear systems of equations
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Novel method based on ant colony opti mization for solving ill-conditioned linear systems of equations 被引量:1
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作者 段海滨 王道波 朱家强 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2005年第3期606-610,共5页
A novel method based on ant colony optimization (ACO), algorithm for solving the ill-conditioned linear systems of equations is proposed. ACO is a parallelized bionic optimization algorithm which is inspired from th... A novel method based on ant colony optimization (ACO), algorithm for solving the ill-conditioned linear systems of equations is proposed. ACO is a parallelized bionic optimization algorithm which is inspired from the behavior of real ants. ACO algorithm is first introduced, a kind of positive feedback mechanism is adopted in ACO. Then, the solu- tion problem of linear systems of equations was reformulated as an unconstrained optimization problem for solution by an ACID algorithm. Finally, the ACID with other traditional methods is applied to solve a kind of multi-dimensional Hilbert ill-conditioned linear equations. The numerical results demonstrate that ACO is effective, robust and recommendable in solving ill-conditioned linear systems of equations. 展开更多
关键词 ill-conditioned linear systems of equations ant colony optimization condition number optimization.
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An Investigation of Restarted GMRES Method by Using Flexible Starting Vectors
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作者 Qiang Niu Lin-Zhang LU 《Numerical Mathematics(Theory,Methods and Applications)》 SCIE 2010年第3期338-351,共14页
We discuss a variant of restarted GMRES method that allows changes of the restarting vector at each cycle of iterations.The merit of the variant is that previously generated information can be utilized to select a new... We discuss a variant of restarted GMRES method that allows changes of the restarting vector at each cycle of iterations.The merit of the variant is that previously generated information can be utilized to select a new starting vector,such that the occurrence of stagnation be mitigated or the convergence be accelerated.The more appealing utilization of the new method is in conjunction with a harmonic Ritz vector as the starting vector,which is discussed in detail.Numerical experiments are carried out to demonstrate that the proposed procedure can effectively mitigate the occurrence of stagnation due to the presence of small eigenvalues in modulus. 展开更多
关键词 linear systems of equations Arnoldi process GMRES harmonic Ritz vector.
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