Results 31 to 40 of about 62,722 (247)

Calibrating the GAMIL3-1° climate model using a derivative-free optimization method [PDF]

Geoscientific Model Development
Parameterization in climate models often involves parameters that are poorly constrained by observations or theoretical understanding alone. Manual tuning by experts can be time-consuming, subjective, and prone to underestimating uncertainties. Automated
W. Liang, W. Liang, W. Liang, S. F. B. Tett, L. Li, C. Cartis, D. Xu, W. Dong, W. Dong, J. Huang, J. Huang   +10 more
doaj   +1 more source

RF cavity design exploiting a new derivative-free trust region optimization approach

Journal of Advanced Research, 2015
In this article, a novel derivative-free (DF) surrogate-based trust region optimization approach is proposed. In the proposed approach, quadratic surrogate models are constructed and successively updated.
Abdel-Karim S.O. Hassan, Hany L. Abdel-Malek, Ahmed S.A. Mohamed, Tamer M. Abuelfadl, Ahmed E. Elqenawy   +4 more
doaj   +1 more source

A Hybrid Stochastic Deterministic Algorithm for Solving Unconstrained Optimization Problems

Mathematics, 2022
In this paper, a new deterministic method is proposed. This method depends on presenting (suggesting) some modifications to existing parameters of some conjugate gradient methods.
Ahmad M. Alshamrani, Adel Fahad Alrasheedi, Khalid Abdulaziz Alnowibet, Salem Mahdi, Ali Wagdy Mohamed   +4 more
doaj   +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

Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM

FEBS Letters, EarlyView.
Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley   +1 more source

Improving derivative-free optimization algorithms through an adaptive sampling procedure

Results in Control and Optimization
Black-box optimization plays a pivotal role in addressing complex real-world problems where the underlying mathematical model is unknown or expensive to evaluate.
Emmanouil Karantoumanis, Nikolaos Ploskas   +1 more
doaj   +1 more source

Acoustic Sensor Planning for Gunshot Location in National Parks: A Pareto Front Approach

Sensors, 2009
In this paper, we propose a solution for gunshot location in national parks. In Spain there are agencies such as SEPRONA that fight against poaching with considerable success.
Felipe Gil-Castiñeira, Sergio Costas-Rodríguez, Francisco J. Parrado-García, Francisco Vicente-Carrasco, Pablo López-Matencio, Enrique Costa-Montenegro, Francisco Javier González-Castaño, Javier Vales Alonso   +7 more
doaj   +1 more source

Curvature-Aware Derivative-Free Optimization

Journal of Scientific Computing
The paper discusses derivative-free optimization (DFO), which involves minimizing a function without access to gradients or directional derivatives, only function evaluations. Classical DFO methods, which mimic gradient-based methods, such as Nelder-Mead and direct search have limited scalability for high-dimensional problems. Zeroth-order methods have
Bumsu Kim, Daniel McKenzie, HanQin Cai, Wotao Yin   +3 more
openaire   +2 more sources

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

A Hybrid Direct Search and Model-Based Derivative-Free Optimization Method with Dynamic Decision Processing and Application in Solid-Tank Design

Algorithms, 2023
A derivative-free optimization (DFO) method is an optimization method that does not make use of derivative information in order to find the optimal solution. It is advantageous for solving real-world problems in which the only information available about
Zhongda Huang, Andy Ogilvy, Steve Collins, Warren Hare, Michelle Hilts, Andrew Jirasek   +5 more
doaj   +1 more source