Results 81 to 90 of about 139,083 (290)

Perron’s method for Hamilton-Jacobi equations

open access: yesDuke Mathematical Journal, 1987
In order to prove the existence of global weak solutions of the first order nonlinear scalar Hamilton-Jacobi equations \[ (1)\quad F(x,u,Du)=0\quad in\quad \Omega \subset {\mathbb{R}}^ n, \] the author presents a new simple direct method called Perron's method.
openaire   +3 more sources

EVSS‐Based Simulation Techniques for the Viscoelastic Fluids With Pure Polymer Melts Using Three‐Field Approach

open access: yesInternational Journal for Numerical Methods in Fluids, EarlyView.
This paper presents a finite element method for simulating highly viscoelastic flows of pure polymer melts using the Elastic Viscous Stress Splitting formulation. The method avoids higher‐order derivatives in the weak formulation by reformulating the convective term in the constitutive equation.
R. Ahmad, P. Zajac, S. Turek
wiley   +1 more source

Numerical Solution of Fuzzy Fractional Pharmacokinetics Model Arising from Drug Assimilation into the Bloodstream

open access: yesAbstract and Applied Analysis, 2013
We propose a Jacobi tau method for solving a fuzzy fractional pharmacokinetics. This problem can model the concentration of the drug in the blood as time increases. The proposed approach is based on the Jacobi tau (JT) method.
Ali Ahmadian   +5 more
doaj   +1 more source

An Efficient Numerical Method for Solving Volterra-Fredholm Integro-Differential Equations of Fractional Order by Using Shifted Jacobi-Spectral Collocation Method

open access: yesمجلة بغداد للعلوم, 2018
The aim of this article is to solve the Volterra-Fredholm integro-differential equations of fractional order numerically by using the shifted Jacobi polynomial collocation method.
Baghdad Science Journal
doaj   +1 more source

Direct Numerical Simulation of Magnetohydrodynamic Slip‐Flow Past a Stretching Surface Using Physics‐Informed Neural Network

open access: yesHeat Transfer, EarlyView.
ABSTRACT Traditional numerical methods, such as finite difference methods (FDM), finite element methods (FEM), and spectral methods, often face meshing challenges and high computational cost for solving nonlinear coupled differential equations. Machine learning techniques, specifically Physics‐informed machine learning, address these obstacles by ...
Ahmad, Feroz Soomro, Husna Zafar
wiley   +1 more source

F-Expansion Method and Its Application for Finding New Exact Solutions to the Kudryashov-Sinelshchikov Equation

open access: yesJournal of Applied Mathematics, 2013
Based on the F-expansion method, and the extended version of F-expansion method, we investigate the exact solutions of the Kudryashov-Sinelshchikov equation. With the aid of Maple, more exact solutions expressed by Jacobi elliptic function are obtained.
Yun-Mei Zhao
doaj   +1 more source

Exploring the Dynamics of Ischemia and Reactive Hyperemia With Skeletal Muscle Blood Oxygen Level Dependent MRI in Patients With Peripheral Artery Disease, Age‐Matched Controls, and Young Healthy Subjects

open access: yesJournal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Skeletal muscle blood oxygen level dependent (BOLD) MRI is a technique for assessing vascular function in peripheral limbs. In patients, however, an increased frequency of atypical response patterns has been observed, warranting investigation into its underlying causes.
Jonathan Arvidsson   +5 more
wiley   +1 more source

Geochronology of the Whittlesey sedimentary succession, eastern England: The ‘Pompeii’ of the British late Middle Pleistocene to Holocene record

open access: yesJournal of Quaternary Science, EarlyView.
Abstract The sedimentary succession at Whittlesey preserves a unique British late Middle Pleistocene to Holocene record back to a time equivalent to at least marine oxygen isotope stage 8 (ca. 250 ka). This study builds on previously published sedimentology, geochronology and palaeoecology results to establish 20 sedimentary facies associations, with ...
H. E. Langford   +3 more
wiley   +1 more source

Prognostic Factors Impacting Surgical Resection Outcomes in Elderly Patients With Brain Metastasis

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Brain metastases (BM) among elderly patients with cancer are increasing, and decision‐making for treatment is complicated by comorbidities. This study aimed to identify prognostic factors that can help make informed decisions regarding surgical resection in elderly patients with BM.
Yu Chang   +10 more
wiley   +1 more source

Home - About - Disclaimer - Privacy