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Most recent publications

J. E. Schreiner, U. Kessler, K. J. Oedegaard, K. Mardal and L. Oltedal

Exploring New Electroencephalogram Parameters in Electroconvulsive Therapy

The Journal of ECT (2023).
Journal Article
2023
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A. Budisa, X. Hu, M. Kuchta, K. Mardal and L. T. Zikatanov

Algebraic multigrid methods for metric-perturbed coupled problems

SIAM J. Sci. Comput. (2023).
Journal Article
2023
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L. Bojarskaite, A. Vallet, D. M. Bjørnstad, K. M. G. Binder, C. Cunen, K. Heuser, M. Kuchta, K. Mardal and R. Enger

Sleep cycle-dependent vascular dynamics in male mice and the predicted effects on perivascular cerebrospinal fluid flow and solute transport

Nature Communications, no. 1 (2023).
Journal Article
2023
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V. Vinje, B. Zapf, G. Ringstad, P. K. Eide, M. E. Rognes and K. Mardal

Human brain solute transport quantified by glymphatic MRI-informed biophysics during sleep and sleep deprivation

Fluids and Barriers of the Central Nervous System (2023).
Journal Article
2023
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03 November 2020

New book in the SpringerBriefs series: Modeling Excitable Tissue

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Export 29 results:
2019

Journal articles

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

Books

H. P. Langtangen and K. Mardal

Introduction to Numerical Methods for Variational Problems

Vol. 21. Cham: Springer International Publishing, 2019.
Status: Published

Proceedings, refereed

K. E. Holter, M. Kuchta and K. Mardal

Sub-voxel Perfusion Modeling in Terms of Coupled 3d-1d Problem

In Numerical Mathematics and Advanced Applications ENUMATH 2017. Cham: Springer International Publishing, 2019.
Status: Published

Talks, keynote

M. Kuchta and K. Mardal

Robust Preconditioners for Multiscale Systems in Biomechanics

In 12th International Conference on Large-Scale Scientific Computations, Sozopol, Bulgaria, 2019.
Status: Published