Results 61 to 70 of about 7,720,158 (325)
On Error Estimation for Reduced-order Modeling of Linear Non-parametric and Parametric Systems [PDF]
, 2020 Motivated by a recently proposed error estimator for the transfer function of the reduced-order model of a given linear dynamical system, we further develop more theoretical results in this work.
Benner, Peter, Feng, Lihong
core +3 more sources
Reduced-Order Model Approaches for Predicting Airfoil Performance
ActuatorsThis study delves into the construction of reduced-order models (ROMs) of a flow field over a NACA 0012 airfoil at a moderate Reynolds number and an angle of attack of 8∘. Numerical simulations were computed through the finite-volume solver OpenFOAM. The
Antonio Colanera +3 more
doaj +1 more source
Advanced Modeling and Simulation in Engineering Sciences, 2022 Most of the methods used today for handling local stress constraints in topology optimization, fail to directly address the non-self-adjointness of the stress-constrained topology optimization problem.
Manyu Xiao +4 more
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Epistemic Uncertainty-Aware Barlow Twins Reduced Order Modeling for Nonlinear Contact Problems
IEEE Access, 2023 This study presents a method for constructing machine learning-based reduced order models (ROMs) that accurately simulate nonlinear contact problems while quantifying epistemic uncertainty.
Teeratorn Kadeethum +4 more
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Non-intrusive reduced order modeling of nonlinear problems using neural networks
Journal of Computational Physics, 2018 We develop a non-intrusive reduced basis (RB) method for parametrized steady-state partial differential equations (PDEs). The method extracts a reduced basis from a collection of high-fidelity solutions via a proper orthogonal decomposition (POD) and ...
J. Hesthaven, Stefano Ubbiali
semanticscholar +1 more source
Reduced Order Modeling with Skew-Radial Basis Functions for Time Series Prediction
Engineering Proceedings, 2023 We present a sparsity-promoting RBF algorithm for time-series prediction. We use a time-delayed embedding framework and model the function from the embedding space to predict the next point in the time series.
Manuchehr Aminian, Michael Kirby
doaj +1 more source
Reduced form modeling of limit order markets [PDF]
, 2010 This paper proposes a parametric approach for stochastic modeling of limit order markets. The models are obtained by augmenting classical perfectly liquid market models by few additional risk factors that describe liquidity properties of the order book ...
Malo, Pekka, Pennanen, Teemu
core +2 more sources
Probabilistic Reduced-Order Modeling for Stochastic Partial Differential Equations
, 2017 We discuss a Bayesian formulation to coarse-graining (CG) of PDEs where the coefficients (e.g. material parameters) exhibit random, fine scale variability.
Grigo, Constantin +1 more
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Defining Roles in Pediatric Palliative Care: Perspectives From Oncology and Palliative Care Teams
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Early integration of pediatric palliative care (PPC) is associated with improved symptom management, quality of life, and healthcare utilization for children with cancer. Despite this, variation persists in how PPC is understood, operationalized, and integrated within pediatric oncology programs. In particular, ambiguity surrounding
Leeat Granek +13 more
wiley +1 more source
Empirical Reduced-Order Modeling for Boundary Feedback Flow Control
Journal of Control Science and Engineering, 2008 This paper deals with the practical and theoretical implications of model reduction for aerodynamic flow-based control problems. Various aspects of model reduction are discussed that apply to partial differential equation- (PDE-) based models in general.
Seddik M. Djouadi +2 more
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