Results 161 to 170 of about 11,022,643 (271)

Explicit radial basis function Runge-Kutta methods [PDF]

The aim of this paper is to design the explicit radial basis function (RBF) Runge-Kutta methods for the initial value problem. We construct the two-, three- and four-stage RBF Runge-Kutta methods based on the Gaussian RBF Euler method with the shape ...
Gu, Jiaxi, Jung, Jae-Hun, Chen, Xinjuan
core   +1 more source

Adjoint and Unrolled Automatic Differentiation for Laplace‐Approximated Likelihoods in Population PK and PK/PD Models

CPT: Pharmacometrics &Systems Pharmacology, Volume 15, Issue 9, September 2026.
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, William Holmes, Chih‐Wei Lin, Khamir Mehta   +3 more
wiley   +1 more source

Runge-kutta method inspired aerial image dehazing network in YUV space. [PDF]

Sci Rep
Si Y, Chen J, Rao W, Li C.
europepmc   +1 more source

A Variational Method for Reconstructing and Separating Balanced Motions and Internal Tides From Wide‐Swath Altimetric Sea Surface Height Observations

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 9, September 2026.
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, F. Le Guillou, C. Ubelmann, E. Blayo, E. Cosme   +4 more
wiley   +1 more source

Retraction notice to "Examination of bio convection with nanoparticles containing microorganisms under the influence of magnetism fields on vertical sheets by five-order Runge-Kutta method" [Heliyon 9 (2023) e15982]. [PDF]

Heliyon
Fathollahi R, Alizadeh A, Safari Y, Nabi H, Shamsborhan M, Taghinia F.   +5 more
europepmc   +1 more source

The Ensemble Kalman Inversion Race

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 9, September 2026.
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, Matthias Morzfeld, Oliver R. A. Dunbar, Tapio Schneider   +3 more
wiley   +1 more source

Laguerre Runge-Kutta-Fehlberg method for simulating laser pulse propagation in biological tissue

, 2008
An efficient algorithm for solving the transient radiative transfer equation for laser pulse propagation in biological tissue is presented. A Laguerre expansion is used to represent the time dependency of the incident short pulse.
J Friend (13734286), L Yeo (13561372), M Premaratne (13291716), Chintha Handapangoda (13051587)   +3 more
core  

A Model Intercomparison Study of Mixed‐Phase Clouds in a Laboratory Chamber

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 9, September 2026.
Abstract Supercooled liquid water often persists in mixed‐phase clouds for hours to days, even though a simple, well‐mixed Wegener‐Bergeron‐Findeisen model predicts rapid depletion of liquid water in the presence of ice. The persistence is well documented, but the relative importance of the maintaining mechanisms remains uncertain.
Aaron Wang, Sisi Chen, Steven K. Krueger, Piotr Dziekan, Kotaro Enokido, Fabian Hoffmann, Agnieszka Makulska, Bernhard Mehlig, Gaetano Sardina, Grigory Sarnitsky, Silvio Schmalfuß, Shin‐ichiro Shima, Fan Yang, Mikhail Ovchinnikov, Raymond A. Shaw   +14 more
wiley   +1 more source

Financing Constraints and Corporate Growth [PDF]

This paper analyses the dynamic investment and growth prospects of a financially constrained firm. Three types of financing constraints are examined: internal finance, debt ceiling and exponential interest costs.
Roland Craigwell, Winston Moore
core  

NORi: An ML‐Augmented Ocean Boundary Layer Parameterization

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 9, September 2026.
Abstract NORi is a machine learning (ML) parameterization of ocean boundary layer (BL) turbulence that is physics‐based and augmented with neural networks. NORi stands for neural ordinary differential equations Richardson number (Ri) closure. The physical parameterization is controlled by a Richardson number‐dependent diffusivity and viscosity.
Xin Kai Lee, Ali Ramadhan, Andre Souza, Gregory LeClaire Wagner, Simone Silvestri, John Marshall, Raffaele Ferrari   +6 more
wiley   +1 more source