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H. P. Langtangen and K. Mardal

Introduction to Numerical Methods for Variational Problems

Vol. 21. Cham: Springer International Publishing, 2019.
Book
2019
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D. S. Seljebotn, T. Bærland, H. K. Eriksen, K. Mardal and I. K. Wehus

Multi-resolution Bayesian CMB component separation through Wiener filtering with a pseudo-inverse preconditioner

Astronomy & Astrophysics 627 (2019): A98.
Journal Article
2019
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E. K. Lindstrøm, G. Ringstad, A. Sorteberg, W. Sorteberg, K. Mardal and P. K. Eide

Magnitude and direction of aqueductal cerebrospinal fluid flow: large variations in patients with intracranial aneurysms with or without a previous subarachnoid hemorrhage

Acta neurochirurgica 161 (2019): 247-256.
Journal Article
2019
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T. Gergelits, K. Mardal, B. F. Nielsen and Z. Strakoš

Laplacian Preconditioning of Elliptic PDEs: Localization of the Eigenvalues of the Discretized Operator

SIAM Journal on Numerical Analysis 57, no. 3 (2019): 1369-1394.
Journal Article
2019
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2019

Journal articles

A. P. Buccino, M. Kuchta, K. H. Jæger, T. V. Ness, P. Berthet, K. Mardal, G. Cauwenberghs and A. Tveito

How does the presence of neural probes affect extracellular potentials?

Journal of Neural Engineering 16 (2019): 026030.
Status: Published
T. Bærland, M. Kuchta and K. Mardal

Multigrid Methods for Discrete Fractional Sobolev Spaces

SIAM Journal on Scientific Computing 41 (2019): A948-A972.
Status: Published
P. K. Eide, L. M. Valnes, A. H. Pripp, K. Mardal and G. Ringstad

Delayed clearance of cerebrospinal fluid tracer from choroid plexus in idiopathic normal pressure hydrocephalus

Journal of Cerebral Blood Flow & Metabolism 2530 (2019): 0271678X1987479.
Status: Published
T. Gergelits, K. Mardal, B. F. Nielsen and Z. Strakoš

Laplacian Preconditioning of Elliptic PDEs: Localization of the Eigenvalues of the Discretized Operator

SIAM Journal on Numerical Analysis 57, no. 3 (2019): 1369-1394.
Status: Published
M. Kuchta, K. Mardal and M. Mortensen

Preconditioning trace coupled 3D-1D systems using fractional Laplacian

Numerical Methods for Partial Differential Equations 35, no. 1 (2019): 375-393.
Status: Published
M. Kuchta, K. Mardal and M. Mortensen

On the singular Neumann problem in linear elasticity

Numerical Linear Algebra with Applications 26, no. 1 (2019): e2212.
Status: Published
J. Lee, E. Piersanti, K. Mardal and M. E. Rognes

A mixed finite element method for nearly incompressible multiple-network poroelasticity

SIAM Journal on Scientific Computing 41, no. 2 (2019): A722-A747.
Status: Published
E. K. Lindstrøm, G. Ringstad, A. Sorteberg, W. Sorteberg, K. Mardal and P. K. Eide

Magnitude and direction of aqueductal cerebrospinal fluid flow: large variations in patients with intracranial aneurysms with or without a previous subarachnoid hemorrhage

Acta neurochirurgica 161 (2019): 247-256.
Status: Published
D. S. Seljebotn, T. Bærland, H. K. Eriksen, K. Mardal and I. K. Wehus

Multi-resolution Bayesian CMB component separation through Wiener filtering with a pseudo-inverse preconditioner

Astronomy & Astrophysics 627 (2019): A98.
Status: Published
V. Vinje, G. A. Ringstad, E. K. Lindstrøm, L. M. Valnes, M. E. Rognes, P. K. Eide and K. Mardal

Respiratory influence on cerebrospinal fluid flow – a computational study based on long-term intracranial pressure measurements

Scientific Reports 9, no. 1 (2019): 9732.
Status: Published