Results 151 to 160 of about 11,954,701 (266)
A Comparative Study of Low‐Dissipation Numerical Schemes for Hyperbolic Conservation Laws
ABSTRACT This work provides a comparative assessment of several low‐dissipation numerical schemes for hyperbolic conservation laws, highlighting their performance relative to the classical Harten‐Lax‐van Leer (HLL) schemes. The schemes under consideration include the classical Harten‐Lax‐van Leer‐Contact (HLLC), the recently proposed TV flux splitting,
Shaoshuai Chu, Michael Herty
wiley +1 more source
Zero-dissipative explicit Runge-Kutta method for periodic initial value problems [PDF]
In this paper zero-dissipative explicit Runge-Kutta method is derived for solving second-order ordinary differential equations with periodical solutions. The phase-lag and dissipation properties for Runge-Kutta (RK) method are also discussed.
Senu, Norazak +3 more
core
Schematic representation of the proposed disease transmission model incorporating vertical transmission, saturated incidence, and nonlinear treatment. The study combines theoretical analysis, bifurcation and stability investigations, and optimal control techniques to evaluate prevention and treatment interventions.
Oludolapo A. Olanrewaju +1 more
wiley +1 more source
In this paper a technique is given to recover the classical order of the method when explicit exponential Runge–Kutta methods integrate reaction-diffusion problems.
Moreta Santos, María Jesús +3 more
core +1 more source
Vertical Vibration Reduction of Maglev Vehicles Using Nonlinear Model Predictive Control
ABSTRACT This work presents a novel nonlinear model predictive control (NMPC) strategy for high‐speed Maglev vehicles that explicitly incorporates mechanical suspension dynamics into the control model. Unlike conventional approaches, which often neglect the interaction between levitation magnet and car body motion, the proposed method enables ...
Mario Hermle +2 more
wiley +1 more source
Learning Differential Equations From Numerically Integrated Artificial Neural Networks
ABSTRACT For numerical investigation of dynamical systems, the formulation of the corresponding ordinary differential equations (ODE) based on physical principles is usually the first and most crucial step. However, if the underlying physics is not fully understood or the required expert knowledge for modeling is missing, setting up these differential ...
Timo Bielitz, Dieter Bestle
wiley +1 more source
ABSTRACT Maximum likelihood estimation in population pharmacokinetic/pharmacodynamic (PK/PD) nonlinear mixed‐effects (NLME) models targets fixed‐effect, interindividual‐variability, and residual‐variability parameters through a marginal likelihood that integrates each subject's contribution over individual random effects.
Guido H. Jajamovich +3 more
wiley +1 more source
Abstract The surface water and ocean topography (SWOT) satellite mission marks a major advance in observing ocean surface dynamics, providing sea surface height (SSH) measurements at unprecedented spatial resolution. Reconstructing gridded SSH fields from SWOT data requires new algorithms capable of retrieving measured fine‐scale variability, which is ...
V. Bellemin‐Laponnaz +4 more
wiley +1 more source
The Ensemble Kalman Inversion Race
Abstract Ensemble Kalman methods were initially developed to solve nonlinear data assimilation problems in oceanography but are now popular in applications far beyond their original use cases. Of particular interest is climate model calibration.
Rebecca Gjini +3 more
wiley +1 more source

