Results 31 to 40 of about 305,961 (299)

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

Mathematics 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.
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Derivation of the Optimal Solution for the Economic Production Quantity Model with Planned Shortages without Derivatives

Modelling, 2022
In this paper, we study a reformulation of the Economic Production Quantity (EPQ) problem. We study a more general version of the problem first and derive the conditions for an optimal solution, as well as the optimal solution itself, all without using ...
Cenk Çalışkan
doaj   +1 more source

StepDIRECT - A Derivative-Free Optimization Method for Stepwise Functions

, 2022
In this paper, we propose the StepDIRECT algorithm for derivative-free optimization (DFO), in which the black-box objective function has a stepwise landscape. Our framework is based on the well-known DIRECT algorithm. By incorporating the local variability to explore the flatness, we provide a new criterion to select the potentially optimal hyper ...
Dzung T. Phan, Hongsheng Liu, Lam M. Nguyen   +2 more
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A kernel derivative free SPH method

Results in Applied Mathematics, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dongyan Feng, Rahmatjan Imin
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Derivative-Free Families of With- and Without-Memory Iterative Methods for Solving Nonlinear Equations and Their Engineering Applications

Mathematics, 2023
In this paper, we propose a new fifth-order family of derivative-free iterative methods for solving nonlinear equations. Numerous iterative schemes found in the existing literature either exhibit divergence or fail to work when the function derivative is
Ekta Sharma, Sunil Panday, Shubham Kumar Mittal, Dan-Marian Joița, Lavinia Lorena Pruteanu, Lorentz Jäntschi   +5 more
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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
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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
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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
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An Optimal Derivative Free Family of Chebyshev–Halley’s Method for Multiple Zeros

Mathematics, 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, Sonia Bhalla, Ángel Alberto Magreñán, Alejandro Moysi   +3 more
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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