Methods for the approximation of solution of nonlinear system of equations often fail when the Jacobians of the systems are singular at iteration points. In this paper, multi-step families of quadrature based iterativ...Methods for the approximation of solution of nonlinear system of equations often fail when the Jacobians of the systems are singular at iteration points. In this paper, multi-step families of quadrature based iterative methods for approximating the solution of nonlinear system of equations with singular Jacobian are developed using decomposition technique. The methods proposed in this study are of convergence order , and require only the evaluation of first-order Frechet derivative per iteration. The approximate solutions generated by the proposed iterative methods in this paper compared with some existing contemporary methods in literature, show that methods developed herein are efficient and adequate in approximating the solution of nonlinear system of equations whose Jacobians are singular and non-singular at iteration points.展开更多
In computing eigenpairs of the matrix pencil, one obtains a linear system of equations. In this work, we show how a block triadiagonal preconditioner in GMRES can be used to solve a large sparse unsymmetric system of ...In computing eigenpairs of the matrix pencil, one obtains a linear system of equations. In this work, we show how a block triadiagonal preconditioner in GMRES can be used to solve a large sparse unsymmetric system of equations inexactly using a fixed and decreasing tolerance. While the fixed tolerance solver converged superlinearly to the eigenvalue of interest, the decreasing one converged quadratically. This surpasses an earlier result which converged harmonically.展开更多
文摘Methods for the approximation of solution of nonlinear system of equations often fail when the Jacobians of the systems are singular at iteration points. In this paper, multi-step families of quadrature based iterative methods for approximating the solution of nonlinear system of equations with singular Jacobian are developed using decomposition technique. The methods proposed in this study are of convergence order , and require only the evaluation of first-order Frechet derivative per iteration. The approximate solutions generated by the proposed iterative methods in this paper compared with some existing contemporary methods in literature, show that methods developed herein are efficient and adequate in approximating the solution of nonlinear system of equations whose Jacobians are singular and non-singular at iteration points.
文摘In computing eigenpairs of the matrix pencil, one obtains a linear system of equations. In this work, we show how a block triadiagonal preconditioner in GMRES can be used to solve a large sparse unsymmetric system of equations inexactly using a fixed and decreasing tolerance. While the fixed tolerance solver converged superlinearly to the eigenvalue of interest, the decreasing one converged quadratically. This surpasses an earlier result which converged harmonically.
