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An Adaptive Refinement Scheme for Depth Estimation Networks [PDF]

open access: yesSensors, 2022
Deep learning has proved to be a breakthrough in depth generation. However, the generalization ability of deep networks is still limited, and they cannot maintain a satisfactory performance on some inputs.
Amin Alizadeh Naeini   +2 more
doaj   +2 more sources

AGRIF: Adaptive grid refinement in Fortran [PDF]

open access: yesComputers and Geosciences, 2008
Adaptive grid refinement in Fortran (AGRIF) is a Fortran90 package for the integration of adaptive mesh refinement (AMR) features within existing finite difference codes. The package first provides model-independent Fortran90 procedures containing the different operations in an AMR process: time integration of grid hierarchy, clustering, interpolations,
Eric Blayo, Laurent Debreu
exaly   +3 more sources

Refinement Algorithms for Adaptive Isogeometric Methods with Hierarchical Splines

open access: yesAxioms, 2018
The construction of suitable mesh configurations for spline models that provide local refinement capabilities is one of the fundamental components for the analysis and development of adaptive isogeometric methods.
Cesare Bracco   +2 more
doaj   +3 more sources

Stable Dynamical Adaptive Mesh Refinement [PDF]

open access: yesJournal of Scientific Computing, 2021
AbstractWe consider accurate and stable interpolation procedures for numerical simulations utilizing time dependent adaptive meshes. The interpolation of numerical solution values between meshes is considered as a transmission problem with respect to the underlying semi-discretized equations, and a theoretical framework using inner product preserving ...
Tomas Lundquist   +2 more
openaire   +2 more sources

T-Splines for Isogeometric Analysis of the Large Deformation of Elastoplastic Kirchhoff–Love Shells

open access: yesApplied Sciences, 2023
In this paper, we develop a T-spline-based isogeometric method for the large deformation of Kirchhoff–Love shells considering highly nonlinear elastoplastic materials.
Mayi Guo   +5 more
doaj   +1 more source

Recent Upgrades in a 2D Turbulent Transport Solver Based on a Hybrid Discontinuous Galerkin Method for the Simulation of Fusion Plasma in Tokamak

open access: yesFluids, 2022
The simulation of fusion plasmas in realistic magnetic configurations and tokamak geometries still requires the development of advanced numerical algorithms owing to the complexity of the problem.
Giacomo Piraccini   +8 more
doaj   +1 more source

Adaptive 3D unstructured mesh refinement [PDF]

open access: yesE3S Web of Conferences, 2020
Algorithms for generating three-dimensional detailed computational meshes are considered. The algorithms are based on adaptive refinement of the original coarse meshes describing a 3D object.
Gruzintsev I, Kornilina M, Yakobovskiy M
doaj   +1 more source

Axisymmetric adaptive lower bound finite element method based on Mohr-Coulomb yield criterion and second-order cone programming

open access: yesYantu gongcheng xuebao, 2023
The axisymmetric Mohr Coulomb yield surfaces have edges and corners in the three-dimensional stress space, which leads to difficulties in numerical calculation.
SUN Rui 1, ZHANG Jian 2, YANG Junsheng 3, YANG Feng 3
doaj   +1 more source

Adaptive Refinement in Advection–Diffusion Problems by Anomaly Detection: A Numerical Study

open access: yesAlgorithms, 2021
We consider advection–diffusion–reaction problems, where the advective or the reactive term is dominating with respect to the diffusive term. The solutions of these problems are characterized by the so-called layers, which represent localized regions ...
Antonella Falini, Maria Lucia Sampoli
doaj   +1 more source

A Feature-Extraction-Based Adaptive Refinement Method for Solving the Reynolds Equation in Piston–Cylinder System

open access: yesLubricants, 2023
A fast local refinement algorithm based on feature extraction is developed. In the mesh-based Reynolds equation solutions, two refinement features based on the physical parameters of fluid lubrication are firstly defined, namely, pressure value feature ...
Jiashu Yang   +3 more
doaj   +1 more source

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