New Eighth-Order Derivative-Free Methods for Solving Nonlinear Equations [PDF]
A new family of eighth-order derivative-free methods for solving nonlinear equations is presented. It is proved that these methods have the convergence order of eight.
Rajinder Thukral
doaj +2 more sources
A class of optimal eighth-order derivative-free methods for solving the Danchick-Gauss problem [PDF]
A derivative-free optimal eighth-order family of iterative methods for solving nonlinear equations is constructed using weight functions approach with divided first order differences.
Carlos Andreu +3 more
semanticscholar +4 more sources
Derivative-free Methods for Structural Optimization
The focus on efficiency has grown over recent years, and nowadays it is critical that buildings have a good performance regarding different criteria. This need prompts the usage of algorithmic approaches, analysis tools, and optimization algorithms, to ...
Guilherme Ilunga, A. Leitão
semanticscholar +2 more sources
An Optimal Derivative Free Family of Chebyshev–Halley’s Method for Multiple Zeros [PDF]
In this manuscript, we introduce the higher-order optimal derivative-free family of Chebyshev–Halley’s iterative technique to solve the nonlinear equation having the multiple roots. The designed scheme makes use of the weight function and one parameter α
Ramandeep Behl +3 more
doaj +2 more sources
Two Optimal Eighth-Order Derivative-Free Classes of Iterative Methods [PDF]
Optimization problems defined by (objective) functions for which derivatives are unavailable or available at an expensive cost are emerging in computational science.
F. Soleymani, S. Shateyi
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Seventh Order Derivative-Free Methods for Non-differentiable Operator Equations
In nonlinear problems where function’s derivatives are difficult or expensive to compute, derivative-free iterative methods are good options to find the numerical solution.
Sunil Kumar +3 more
doaj +1 more source
Scalable subspace methods for derivative-free nonlinear least-squares optimization [PDF]
We introduce a general framework for large-scale model-based derivative-free optimization based on iterative minimization within random subspaces. We present a probabilistic worst-case complexity analysis for our method, where in particular we prove high-
C. Cartis, Lindon Roberts
semanticscholar +1 more source
On the adaptive selection of the parameter in stabilized finite element approximations [PDF]
A systematic approach is developed for the selection of the stabilization parameter for stabilized finite element approximation of the Stokes problem, whereby the parameter is chosen to minimize a computable upper bound for the error in the approximation.
Rankin, Richard Andrew Robert +3 more
core +4 more sources
A New Derivative-Free Method to Solve Nonlinear Equations
A new high-order derivative-free method for the solution of a nonlinear equation is developed. The novelty is the use of Traub’s method as a first step. The order is proven and demonstrated.
Beny Neta
doaj +1 more source
Extended Seventh Order Derivative Free Family of Methods for Solving Nonlinear Equations
A plethora of applications from Computational Sciences can be identified for a system of nonlinear equations in an abstract space. These equations are mostly solved with an iterative method because an analytical method does not exist for such problems ...
Ramandeep Behl +3 more
doaj +1 more source

