Results 41 to 50 of about 641,705 (295)

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

A derivative-free root-finding algorithm using exponential method and its implementation

BMC Research Notes, 2023
Objective In this paper, we develop a new root-finding algorithm to solve the given non-linear equations. The proposed root-finding algorithm is based on the exponential method. This algorithm is derivative-free and converges fast.
Srinivasarao Thota, Mohamed M. Awad, P. Shanmugasundaram, Laxmi Rathour   +3 more
doaj   +1 more source

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  

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

Hybridization of Multi-Objective Deterministic Particle Swarm with Derivative-Free Local Searches

Mathematics, 2020
The paper presents a multi-objective derivative-free and deterministic global/local hybrid algorithm for the efficient and effective solution of simulation-based design optimization (SBDO) problems.
Riccardo Pellegrini, Andrea Serani, Giampaolo Liuzzi, Francesco Rinaldi, Stefano Lucidi, Matteo Diez   +5 more
doaj   +1 more source

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

Clinical and Biological Features of Response in Resistant Neuroblastoma to 131I‐Metaiodobenzylguanidine Radiotherapy in the Anti‐GD2 Immunotherapy Era

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background 131I‐metaiodobenzylguanidine (131I‐MIBG) radiotherapy is a key treatment for relapsed and refractory (R/R) neuroblastoma (NB). Patients with R/R disease treated in the modern era are increasingly exposed to anti‐GD2 immunotherapy, which exerts selective pressure and may modify both tumor cell state and microenvironment.
Benjamin J. Lerman, Katherine K. Matthay, Fabienne Hollinger, Catriona Black, Ann A. Lazar, Miguel Pampaloni, Steven G. DuBois, Kieuhoa T. Vo   +7 more
wiley   +1 more source

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

An Optimal Eighth-Order Derivative-Free Family of Potra-Pták’s Method

Algorithms, 2015
In this paper, we present a new three-step derivative-free family based on Potra-Pták’s method for solving nonlinear equations numerically. In terms of computational cost, each member of the proposed family requires only four functional evaluations per ...
Munish Kansal, Vinay Kanwar, Saurabh Bhatia   +2 more
doaj   +1 more source

Full-low evaluation methods for derivative-free optimization

Optimization Methods and Software, 2022
We propose a new class of rigorous methods for derivative-free optimization with the aim of delivering efficient and robust numerical performance for functions of all types, from smooth to non-smooth, and under different noise regimes. To this end, we have developed Full-Low Evaluation methods, organized around two main types of iterations.
Albert S. Berahas, Oumaima Sohab, Luís Nunes Vicente   +2 more
openaire   +2 more sources