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A New Derivative-Free Method to Solve Nonlinear Equations [PDF]

open access: yesMathematics, 2021
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   +4 more sources

Derivative free iterative simultaneous method for finding distinct roots of polynomial equation

open access: yesAlexandria Engineering Journal, 2020
In this article, we present a new derivative free simultaneous method for determining in particular all the distinct roots of polynomial equation. A modification in Weierstrass correction is used to construct tenth order derivative free simultaneous ...
Nazir Ahmad Mir   +4 more
doaj   +4 more sources

A kernel derivative free SPH method

open access: yesResults in Applied Mathematics, 2023
Based on smooth particle hydrodynamics (SPH) method, this paper proposes the concept of kernel function moment and studies its properties, and puts forward the KDF-SPH (Kernel Derivative Free SPH: KDF-SPH) method.
Dongyan Feng, Rahmatjan Imin
doaj   +4 more sources

Discrete Gradient Method: Derivative-Free Method for Nonsmooth Optimization

open access: yesJournal of Optimization Theory and Applications, 2007
The paper of A. M. Bagirov, B. Karasözen and M. Sezer is a valuable contribution to the numerical-algorithmical part of unconstrained continuous optimization, in fact, to its nonsmooth version, and the corresponding theory is provided, too. It stands in the tradition of nonsmooth analysis and optimization, but it benefits from some insight and ...
Adil Bagirov   +2 more
exaly   +4 more sources

A derivative-free Gauss–Newton method [PDF]

open access: yesMathematical Programming Computation, 2019
We present DFO-GN, a derivative-free version of the Gauss-Newton method for solving nonlinear least-squares problems. As is common in derivative-free optimization, DFO-GN uses interpolation of function values to build a model of the objective, which is then used within a trust-region framework to give a globally-convergent algorithm requiring $O(ε^{-2})
Roberts, L, Cartis, C
openaire   +4 more sources

Three-Step Derivative-Free Method of Order Six

open access: yesFoundations, 2023
Derivative-free iterative methods are useful to approximate the numerical solutions when the given function lacks explicit derivative information or when the derivatives are too expensive to compute.
Sunil Kumar   +3 more
doaj   +2 more sources

An Optimal Derivative Free Family of Chebyshev–Halley’s Method for Multiple Zeros [PDF]

open access: yesMathematics, 2021
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

A Derivative-Free Method for Structured Optimization Problems [PDF]

open access: yesSIAM Journal on Optimization, 2021
Structured optimization problems are ubiquitous in fields like data science and engineering. The goal in structured optimization is using a prescribed set of points, called atoms, to build up a solution that minimizes or maximizes a given function. In the present paper, we want to minimize a black-box function over the convex hull of a given set of ...
Cristofari A., Rinaldi F.
openaire   +7 more sources

An optimal fourth-order second derivative free iterative method for nonlinear scientific equations

open access: yesKuwait Journal of Science, 2023
In the present paper, we develop an efficient second derivative free two-step optimal fourth-order iterative method for nonlinear equations. We explore the convergence criteria of the proposed method and also exhibit its validity and efficiency by ...
Ghulam Akbar Nadeem   +2 more
doaj   +3 more sources

Revision of a Derivative-Free Quasi-Newton Method [PDF]

open access: yesMathematics of Computation, 1978
A derivative-free Quasi-Newton (DFQN) method previously published [J. Greenstadt, Math. Comp. , v. 26, 1972, pp. 145-166] has been revised and simplified. The main modification has the effect of keeping all the successive approximants to the Hessian matrix positive-definite.
John Greenstadt
openaire   +2 more sources

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