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Linus Hägg
Contact
E-mail
linus.hagg@umu.se
Phone
Works at
Affiliation
Postdoctoral fellow at
Department of Computing Science
Location
MIT-huset, Umeå universitet, UMIT, MIT.A.261
Umeå universitet, 901 87 Umeå
Publications
Publications
Mentions
Mentions
2021
Well-posed variational formulations of Friedrichs-type systems
Journal of Differential Equations
, Elsevier 2021, Vol. 292 : 90-131
Berggren, Martin; Hägg, Linus
2021
On the well-posedness of Galbrun's equation
Journal des Mathématiques Pures et Appliquées
, Elsevier 2021, Vol. 150 : 112-133
Hägg, Linus; Berggren, Martin
2020
The
fW
-mean filter framework for topology optimization and analysis of Friedrichs systems
Report / UMINF
, 20.09
Hägg, Linus
2018
Topology optimization of compact wideband coaxial-to-waveguide transitions with minimum-size control
Structural and multidisciplinary optimization (Print)
, New York: Springer 2018, Vol. 57, (4) : 1765-1777
Hassan, Emadeldeen; Wadbro, Eddie; Hägg, Linus; et al.
2018
On minimum length scale control in density based topology optimization
Structural and multidisciplinary optimization (Print)
, Springer 2018, Vol. 58, (3) : 1015-1032
Hägg, Linus; Wadbro, Eddie
2017
Nonlinear filters in topology optimization: existence of solutions and efficient implementation for minimum compliance problems
Structural and multidisciplinary optimization (Print)
, Vol. 55, (3) : 1017-1028
Hägg, Linus; Wadbro, Eddie
2016
Quasi-Arithmetic Filters for Topology Optimization
Report / UMINF
, 16.04
Hägg, Linus
2016
Nonlinear filters in topology optimization: existence of solutions and efficient implementation for minimal compliance problems
Report / UMINF
, 16.01
Hägg, Linus; Wadbro, Eddie
2015
1D-model of the interaction between a stack of wood and an imposed electromagnetic wave
Hägg, Linus; Wadbro, Eddie; Noreland, Daniel; et al.
2015
On quasi-arithmetic mean based filters and their fast evaluation for large-scale topology optimization
Structural and multidisciplinary optimization (Print)
, Springer 2015, Vol. 52, (5) : 879-888
Wadbro, Eddie; Hägg, Linus
View publications in DiVA
Published: 28 Dec, 2020
Better understanding of computer-based design optimization and sound propagation in the wind
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