Results 11 to 20 of about 4,793,633 (336)
Randomized Local Model Order Reduction [PDF]
SIAM Journal on Scientific Computing, 2018 31 pages, 14 figures, 1 table, 1 ...
Andreas Buhr, Kathrin Smetana
openaire +6 more sources
Model order reduction for nonlinear Schrödinger equation [PDF]
Applied Mathematics and Computation, 2015 We apply the proper orthogonal decomposition (POD) to the nonlinear Schrödinger (NLS) equation to derive a reduced order model. The NLS equation is discretized in space by finite differences and is solved in time by structure preserving symplectic mid-point rule. A priori error estimates are derived for the POD reduced dynamical system.
Karasözen, Bülent +2 more
openaire +5 more sources
Model Order Reduction of Microactuators: Theory and Application
Actuators, 2023 This paper provides an overview of techniques of compact modeling via model order reduction (MOR), emphasizing their application to cooperative microactuators.
Arwed Schütz, Tamara Bechtold
doaj +1 more source
State Residualisation and Kron Reduction for Model Order Reduction of Energy Systems
Applied Sciences, 2023 Greater numbers of power electronics (PEs) converters are being connected to energy systems due to the development of renewable energy sources, high-voltage transmission, and PE-interfaced loads. Given that power electronics-based devices and synchronous
Xianxian Zhao +4 more
doaj +1 more source
Parametric model-order-reduction development for unsteady convection
Frontiers in Physics, 2022 A time-averaged error indicator with POD-hGreedy is developed to drive parametric model order reduction (pMOR) for 2D unsteady natural convection in a high-aspect ratio slot parameterized with the Prandtl number, Rayleigh number, and slot angle with ...
Ping-Hsuan Tsai +2 more
doaj +1 more source
Model order reduction for gas and energy networks
Journal of Mathematics in Industry, 2021 To counter the volatile nature of renewable energy sources, gas networks take a vital role. But, to ensure fulfillment of contracts under these circumstances, a vast number of possible scenarios, incorporating uncertain supply and demand, has to be ...
Christian Himpe +2 more
doaj +1 more source
POD-Based Model-Order Reduction for Discontinuous Parameters
Fluids, 2022 Reduced-order models (ROMs) based on proper orthogonal decomposition (POD) are widely used in industry. Due to the rigid requirements on the input data, these methods struggle with discontinuous parameters, e.g., optional rear spoiler on a car.
Niklas Karcher
doaj +1 more source
MORLAB—The Model Order Reduction LABoratory [PDF]
, 2021 17 pages, 6 figures, 5 ...
Benner, Peter, Werner, Steffen W. R.
openaire +2 more sources
REDUCED-ORDER MODELLING OF PARAMETERIZED TRANSIENT FLOWS IN CLOSED-LOOP SYSTEMS [PDF]
EPJ Web of Conferences, 2021 In this paper, two Galerkin projection based reduced basis approaches are investigated for the reduced-order modeling of parameterized incompressible Navier-Stokes equations for laminar transient flows. The first approach solves only the reduced momentum
German Péter +3 more
doaj +1 more source
Model Order Reduction by Using Improved Approximation Techniques
Scientific Journal of King Faisal University: Basic and Applied Sciences, 2020 A simplified approach for model order reduction (MOR) is presented in this article using the balanced singular perturbation approximation (BSPA) approach applicable to large-scale linear dynamical (LSLD) systems.
Santosh Kumar Suman, Awadhesh Kumar
doaj +1 more source