scholarly journals A Relaxed Kaczmarz Method for Fuzzy Linear Systems

Author(s):  
Ke Wang ◽  
Shijun Zhang ◽  
Shiheng Wang

Abstract A relaxed Kaczmarz method is presented for solving a class of fuzzy linear systems of equations with crisp coefficient matrix and fuzzy right-hand side. The iterative scheme is established and the convergence theorem is provided. Numerical examples show that the method is effective.

2015 ◽  
Vol 4 (2) ◽  
pp. 325
Author(s):  
S. M. Khorasani Kiasari ◽  
L. Abdollahzadeh Ramhormozi

<p>In this paper the exact, multiple and approximation solutions of Dual fuzzy linear systems of equations(DFLSE) with triangular variable are investigated based on a 1-level expansion. To this end, 1-level of DFLSE are solved for calculating the cores of fuzzy solution and then its spreads are obtained by solving an optimization problem with a special objective function. Finally, the existence of solution of DFLSE is proved in details and some numerical examples are solved to illustrate the accuracy and capability of the method</p>


2014 ◽  
Vol 2014 ◽  
pp. 1-6
Author(s):  
Xin Li ◽  
Hao Liu ◽  
Jingfu Zhu

We consider the MINRES seed projection method for solving multiple right-hand side linear systemsAX=B, whereA∈Rn×nis a nonsingular symmetric matrix,B∈Rn×p. In general, GMRES seed projection method is one of the effective methods for solving multiple right-hand side linear systems. However, when the coefficient matrix is symmetric, the efficiency of this method would be weak. MINRES seed projection method for solving symmetric systems with multiple right-hand sides is proposed in this paper, and the residual estimation is analyzed. The numerical examples show the efficiency of this method.


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