Results 141 to 150 of about 115,454 (246)
Group‐Specific Nonlinear Mixed Effects Models for Longitudinal Data With Realignment of Time
ABSTRACT We propose group‐specific nonlinear mixed effects models for longitudinal data whose indexing time is right‐aligned to specific events, modeled as the time preceding those events. These models are motivated by dementia cohort studies that examine nonlinear trajectories of longitudinal cognitive test scores in late life, with separate ...
Ziyue Liu, Sujuan Gao
wiley +1 more source
Abstract Physics‐informed neural networks (PINNs) provide a promising framework for river hydrodynamic simulation and parameter inversion under sparse observations. However, spatial heterogeneity in channel geometry and roughness causes strong variations in flood‐wave propagation and parameter sensitivity, challenging local conservation and joint state‐
Ziyan Lu +6 more
wiley +1 more source
Solving Stochastic Climate‐Economy Models: A Deep Least‐Squares Monte Carlo Approach
ABSTRACT Stochastic versions of recursive integrated climate‐economy assessment models are essential for studying and quantifying policy decisions under uncertainty. However, as the number of state variables and stochastic shocks increases, solving these models via deterministic grid‐based dynamic programming (e.g., value‐function iteration/projection ...
Aleksandar Arandjelović +4 more
wiley +1 more source
Spectral Analysis of High Order Continuous FEM for Hyperbolic PDEs on Triangular Meshes: Influence of Approximation, Stabilization, and Time-Stepping. [PDF]
Michel S +3 more
europepmc +1 more source
ABSTRACT Preparing quantum states with desired amplitude distributions is a key bottleneck in the implementation of quantum linear and nonlinear dynamics solvers, including Linear Combination of Hamiltonian Simulation (LCHS) and Schrödingerization. We present a direct, closed‐form construction of Quantized Tensor Train (QTT) representations for two ...
Katsuhiro Endo, Kazuaki Z. Takahashi
wiley +1 more source
ABSTRACT Induction motors (IMs) are widely used in industry for their robustness and cost‐effectiveness, yet their nonlinear and multivariable dynamics pose significant challenges for high‐performance speed control. Model Predictive Control (MPC) is a well‐established solution but suffers from limitations related to model accuracy and parameter ...
Asier del Rio +4 more
wiley +1 more source
Exact geometric equations and those of internal equilibrium are derived on the grounds of the assumptions of the theory of thin shells by introducing Lagrangian and Eulerian coordinates. As the fundamental functions are assumed the displacement u and the
Z. Waszczyszyn
doaj
Sundman‐Like Transformations and the NRT Nonlinear Schrödinger Equation
ABSTRACT We present a new generalization of the well‐known power‐type Sundman transformation, involving not only powers of the function but also of its derivative, along with its inverse. Our aim is to explore the use of such transformations in the derivation of solutions of ordinary differential equations and in the study of their properties.
P. R. Gordoa +3 more
wiley +1 more source
Analysis of light-wave nonstaticity in the coherent state. [PDF]
Choi JR.
europepmc +1 more source
Convergence of Gauss-Laguerre quadrature formulae
An account of the error and of the convergence theory is given for Gauss-Laguerre quadrature formulae. We develop also truncated models of the original Gauss rules to compute integrals extended over the positive real ...
Criscuolo G, Capobianco MR
core

