Results 41 to 50 of about 247,001 (308)

Wavelet-based multiscale proper generalized decomposition

open access: yesComptes Rendus. Mécanique, 2018
Separated representations at the heart of Proper Generalized Decomposition are constructed incrementally by minimizing the problem residual. However, the modes involved in the resulting decomposition do not exhibit a clear multi-scale character. In order to recover a multi-scale description of the solution within a separated representation framework ...
Leon, Angel   +4 more
openaire   +4 more sources

Application of the Proper Generalized Decomposition to Solve Magnetoelectric Problem [PDF]

open access: yesIEEE Transactions on Magnetics, 2018
Among the model order reduction techniques, the proper generalized decomposition (PGD) has shown its efficiency to solve a large number of engineering problems. In this paper, the PGD approach is applied to solve a multi-physics problem based on a magnetoelectric device.
T. Henneron, S. Clenet
openaire   +5 more sources

A proper generalized decomposition approach for optical flow estimation [PDF]

open access: yesMathematical Methods in the Applied Sciences, 2020
This paper introduces the use of the proper generalized decomposition (PGD) method for the optical flow (OF) problem in a classical framework of Sobolev spaces, ie, optical flow methods including a robust energy for the data fidelity term together with a quadratic penalizer for the regularization term.
Abdallah El Hamidi   +3 more
openaire   +1 more source

Immersed boundary method combined with proper generalized decomposition for simulation of a flexible filament in a viscous incompressible flow

open access: yesVietnam Journal of Mechanics, 2017
In this paper, a combination of the Proper Generalized  Decomposition (PGD) with the Immersed Boundary method (IBM) for solving  fluid-filament interaction problem is proposed. In this combination, a  forcing term constructed by the IBM is introduced to
Cuong Q. Le, H. Phan-Duc, Son H. Nguyen
doaj   +1 more source

A reduced-order method with PGD for the analysis of misaligned journal bearing [PDF]

open access: yesE3S Web of Conferences, 2021
In recent years, machine component design has been a major concern for researchers. Emphasis has been placed especially on the analysis of bearing systems in order to avoid detrimental contact.
Megdoud Abdelhak   +4 more
doaj   +1 more source

Proper Generalized Decomposition for Multiscale and Multiphysics Problems

open access: yesArchives of Computational Methods in Engineering, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Néron, David, Ladevèze, Pierre
openaire   +1 more source

The LATIN multiscale computational method and the Proper Generalized Decomposition [PDF]

open access: yesComputer Methods in Applied Mechanics and Engineering, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ladevèze, Pierre   +2 more
openaire   +2 more sources

Proper generalized decomposition solutions for composite laminates parametrized with fibre orientations

open access: yesComputational Mechanics, 2022
Composite materials are gaining popularity as an alternative to classical materials in many different applications. Moreover, their design is even more flexible due to the potential of additive manufacturing.
K. El-Ghamrawy   +3 more
semanticscholar   +1 more source

Explicit parametric solutions of lattice structures with proper generalized decomposition (PGD): applications to the design of 3D-printed architectured materials [PDF]

open access: yes, 2018
The final publication is available at Springer via http://dx.doi.org/10.1007/s00466-017-1534-9Architectured materials (or metamaterials) are constituted by a unit-cell with a complex structural design repeated periodically forming a bulk material with ...
Auricchio, Ferdinando   +4 more
core   +2 more sources

Least-Squares Proper Generalized Decompositions for Weakly Coercive Elliptic Problems [PDF]

open access: yesSIAM Journal on Scientific Computing, 2017
Summary: Proper generalized decompositions (PGDs) are a family of methods for efficiently solving high-dimensional partial differential equations (PDEs), which seek to find a low-rank approximation to the solution of the PDE a priori. Convergence of PGD algorithms can only be proven for problems which are continuous, symmetric, and strongly coercive ...
Croft, Thomas L. D.   +1 more
openaire   +2 more sources

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