Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: AbstractRecently, there have been many studies on solving different kinds of fuzzy equations. , the solution of a trapezoidal fully fuzzy linear system (FFLS) is studied. Uzawa approach, which is a popular iterative technique for saddle point problems, is considered for solving such FFLSs. In our Uzawa approach, it is possible to compute the solution of a fuzzy system using various relaxation iterative methods such as Richardson, Jacobi, Gauss-Seidel, SOR, SSOR as ll as Krylov subspace methods such as GMRES, QMR and BiCGSTAB. Krylov subspace iterative methods are known to converge for a larger class of matrices than relaxation iterative methods and they exhibit higher convergence rates. Thus, they are more widely used in practical problems. Numerical experiments are to illustrate the performance of our suggested methods.
['H. Zareamoghaddam', 'Anthony T. Chronopoulos', 'M. Nouri Kadijani', 'Z. Zareamoghaddam']
I am writing a research paper on a idea Uzawa Algorithms for Fully Fuzzy Linear Systems
[{"from": "human", "value": "I am writing a research paper on a idea Uzawa Algorithms for Fully Fuzzy Linear Systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: AbstractRecently, there have been many studies on solving different kinds of fuzzy equations. , the solution of a trapezoidal fully fuzzy linear system (FFLS) is studied. Uzawa approach, which is a popular iterative technique for saddle point problems, is considered for solving such FFLSs. In our Uzawa approach, it is possible to compute the solution of a fuzzy system using various relaxation iterative methods such as Richardson, Jacobi, Gauss-Seidel, SOR, SSOR as ll as Krylov subspace methods such as GMRES, QMR and BiCGSTAB. Krylov subspace iterative methods are known to converge for a larger class of matrices than relaxation iterative methods and they exhibit higher convergence rates. Thus, they are more widely used in practical problems. Numerical experiments are to illustrate the performance of our suggested methods."}]