Results 91 to 100 of about 12,484,135 (293)

On of solving nonlinear Noether integral-differential boundary value problems by the of Newton-Kantorovich method

open access: yesНауковий вісник Ужгородського університету. Серія: Математика і інформатика, 2018
Constructive conditions for the existence of a nonlinear Noether integral-differential boundary value problem are found. An iterative scheme with quadratic convergence is constructed to find the solution of a nonlinear integral-differential boundary ...
С. М. Чуйко   +2 more
doaj   +1 more source

Richard P. Newton Family papers

open access: yes, 1925
Correspondence comprises the largest portion of the Papers of the Richard P. Newton Family and documents the daily lives of Richard Newton, Dorothy Speilman Newton, Lillian Boehm, and some of their friends.
Newton, Richard P.
core  

Métodos de Krylov-Newton aplicados à simulação numérica de reservatórios de petróleo [PDF]

open access: yes, 2000
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico.A simulação do processo de extração de óleo em um reservatório de petróleo é um problema complexo que envolve o escoamento multifásico em um meio poroso de geometria ...
Lucianetti, Rodrigo Machado
core  

An Injectable Metal‐Drug Supramolecular Condensate Enables Radiosensitization and Systemic Antitumor Immunity for Post‐Surgical Osteosarcoma Therapy

open access: yesAdvanced Science, EarlyView.
This work designed an injectable metal‐drug supramolecular condensate formed from hafnium ions and alendronate (Hf‐ALN) and loaded with the COX‐2 inhibitor celecoxib (CXB) for synergistic radioimmunotherapy of postoperative osteosarcoma. Mechanistically, upon X‐ray irradiation, Hf enhances radiation energy deposition, ROS generation, and DNA damage ...
Tianhua Xiao   +12 more
wiley   +1 more source

Inverse Kinematics Algorithm for 6-DOF Joint Robot with Offset Wrist based on Modified Newton Iteration Method

open access: yesJixie chuandong, 2017
The 6- DOF joint robot with offset wrist can’t satisfy the Pieper rule,thus there are no closed- form inverse kinematics solutions for them. Compared with non- offset robot,a numerical iterative algorithm that integrates the closed- form inverse ...
Han Lei, Diao Yan, Zhang Xibin, Luo Hua
doaj  

ROBUST QUASI-NEWTON EQUATIONS IN QUASI-NEWTON METHOD FOR SOLVING UNCONSTRAINED OPTIMIZATION PROBLEMS

open access: yesBarekeng
Quasi-Newton methods are among the most widely used and effective general-purpose algorithms for unconstrained optimization. These methods traditionally rely on the quasi-Newton equation, which serves as the foundation for updating approximations of the
Basim A. Hassan, Manal I. Mohammed
doaj   +1 more source

Modified Jacobian Newton Iterative Method: Theory and Applications [PDF]

open access: yesMathematical Problems in Engineering, 2009
This article proposes a new approach to the construction of a linearization method based on the iterative operator‐splitting method for nonlinear differential equations. The convergence properties of such a method are studied. The main features of the proposed idea are the linearization of nonlinear equations and the application of iterative splitting ...
openaire   +2 more sources

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

NEW CONJUGATE GRADIENT METHOD FOR ACCELERATED CONVERGENCE AND COMPUTATIONAL EFFICIENCY IN UNCONSTRAINED OPTIMIZATION PROBLEMS

open access: yesBarekeng
Conjugate gradient (CG) algorithms play an important role in solving large-scale unconstrained optimization problems due to their low memory requirements and strong convergence properties.
Basim A. Hassan   +3 more
doaj   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

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