Results 41 to 50 of about 264,051 (290)

A new derivative-free method for solving nonlinear equations [PDF]

, 2010
This paper presents a new method for solving nonlinear equations. The method is free of derivatives and easy to implement. Although its convergence is linear, numerical experiments conducted indicate that its performance compares well not only with ...
Phiri, Patrick A., Makinde, O.D.
core   +2 more sources

A class of new derivative-free gradient type methods for large-scale nonlinear systems of monotone equations

Journal of Inequalities and Applications, 2020
In this paper, we present a class of new derivative-free gradient type methods for large-scale nonlinear systems of monotone equations. The methods combine the RMIL conjugate gradient method, the strategy of hyperplane projection and the derivative-free ...
Xiaowei Fang
doaj   +1 more source

An Efficient Derivative Free One-Point Method with Memory for Solving Nonlinear Equations

Mathematics, 2019
We propose a derivative free one-point method with memory of order 1.84 for solving nonlinear equations. The formula requires only one function evaluation and, therefore, the efficiency index is also 1.84.
Janak Raj Sharma, Sunil Kumar, Clemente Cesarano   +2 more
doaj   +1 more source

Derivative-free discrete gradient methods

Journal of Computational Dynamics
Discrete gradient methods are a class of numerical integrators producing solutions with exact preservation of first integrals of ordinary differential equations. In this paper, we apply order theory combined with the symmetrized Itoh--Abe discrete gradient and finite differences to construct an integral-preserving fourth-order method that is derivative-
Håkon Noren Myhr, Sølve Eidnes
openaire   +2 more sources

Derivative free Levenberg-Marquardt method for solving fuzzy nonlinear equation

, 2021
In this paper, we present a derivative-free computational method for solving fuzzy nonlinear equation. Derivative-free technique avoids computing the derivative by generating an estimate to the derivative.
I., Sumiati, M.Y., Waziri, M., Mamat, A., Shadi, I. M., Sulaiman, A.U., Omesa, M.A., Zaini, Kalfin, .   +7 more
core  

A derivative-free method for bilevel optimization [PDF]

, 2023
openThe goal is to design, under the assumption of having access to an approximation of the lower-level minimizer, derivative-free methods in order to solve the upper-level. The focus is on optimization with constraints, both in the smooth and non-smooth
BOJOVIC, MATIA
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Wedge trust region methods for derivative free optimization [PDF]

Mathematical Programming, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marcelo Marazzi, Jorge Nocedal
openaire   +1 more source

European Standard Clinical Practice Guideline and EXPeRT Recommendations for the Diagnosis and Management of Gastroenteropancreatic Neuroendocrine Neoplasms in Children and Adolescents

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen, Calogero Virgone, Antje Redlich, Michael Abele, Ricardo Lopez‐Almaraz, Tal Ben‐Ami, Ewa Bien, Gianni Bisogno, Maja Mazic Cesen, Andrea Ferrari, Malgorzata A. Krawczyk, Yves Reguerre, Dominik T. Schneider, Ines B. Brecht, Charlotte Rigaud, Bilgehan Yalcin, Rainer Claus, Christian Vokuhl, Constantin Lapa, Jörg Fuchs, Segolene Hescot, Thomas Walter, Julien Hadoux, Daniel Orbach   +23 more
wiley   +1 more source

An inexact restoration derivative-free filter method for nonlinear programming [PDF]

, 2017
An inexact restoration derivative-free filter method for nonlinear programming is introduced in this paper. Each iteration is composed of a restoration phase, which reduces a measure of infeasibility, and an optimization phase, which reduces the ...
Vignau, Raúl Pedro, Echebest, Nélida Ester, Schuverdt, María Laura   +2 more
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A feasible method for constrained derivative-free optimization

Operations Research Letters
This paper explores a method for solving constrained optimization problems when the derivatives of the objective function are unavailable, while the derivatives of the constraints are known. We allow the objective and constraint function to be nonconvex.
Melody Qiming Xuan, Jorge Nocedal
openaire   +2 more sources