A rapid generalized method of bisection for solving systems of non-linear equations
Numerische Mathematik
ACM Transactions on Mathematical Software (TOMS)
A dimension-reducing method for unconstrained optimization
Proceedings of the 6th international congress on Computational and applied mathematics
Iterative solution of nonlinear equations in several variables
Iterative solution of nonlinear equations in several variables
Methods for Solving Systems of Nonlinear Equations
Methods for Solving Systems of Nonlinear Equations
From linear to nonlinear iterative methods
Applied Numerical Mathematics
Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Classics in Applied Mathematics, 16)
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For solving systems of nonlinear equations, we have recently developed a Newton's method to manage issues with inaccurate function values or problems with high computational cost. In this work we introduce a modification of the above method, reducing the total computational cost and improving, in general, its overall performance. Moreover, the proposed version retains the quadratic convergence, the good behavior over singular and ill-conditioned cases of Jacobian matrix, and its capability to be ideal for imprecise function problems. Numerical results demonstrate the efficiency of the new proposed method.