Magnus Svärd

According to our database, Magnus Svärd authored at least 28 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Convergence of Chandrashekar's Second-Derivative Finite-Volume Approximation.

Anita Gjesteland, Magnus Svärd

J. Sci. Comput., August, 2023

A novel energy-bounded Boussinesq model and a well balanced and stable numerical discretisation.

Magnus Svärd, Henrik Kalisch

CoRR, 2023

2022

Stability Issues of Entropy-Stable and/or Split-form High-order Schemes.

Gregor J. Gassner, Magnus Svärd, Florian J. Hindenlang

J. Sci. Comput., 2022

Large Eddy Simulations by approximate weak entropy solutions.

Magnus Svärd

J. Comput. Phys., 2022

Entropy stability for the compressible Navier-Stokes equations with strong imposition of the no-slip boundary condition.

Anita Gjesteland, Magnus Svärd

J. Comput. Phys., 2022

Analysis of an alternative Navier-Stokes system: Weak entropy solutions and a convergent numerical scheme.

Magnus Svärd

CoRR, 2022

2021

Convergence of energy stable finite-difference schemes with interfaces.

Magnus Svärd, Jan Nordström

J. Comput. Phys., 2021

Entropy stable boundary conditions for the Euler equations.

Magnus Svärd

J. Comput. Phys., 2021

Numerical study of two models for viscous compressible fluid flows.

Vít Dolejsí, Magnus Svärd

J. Comput. Phys., 2021

2019

On the convergence rates of energy-stable finite-difference schemes.

Magnus Svärd, Jan Nordström

J. Comput. Phys., 2019

2018

Entropy Stability and the No-Slip Wall Boundary Condition.

Magnus Svärd, Mark H. Carpenter, Matteo Parsani

SIAM J. Numer. Anal., 2018

Response to "Convergence of Summation-by-Parts Finite Difference Methods for the Wave Equation".

Magnus Svärd, Jan Nordström

J. Sci. Comput., 2018

2016

A Convergent Numerical Scheme for the Compressible Navier-Stokes Equations.

Magnus Svärd

SIAM J. Numer. Anal., 2016

2015

Weak solutions and convergent numerical schemes of modified compressible Navier-Stokes equations.

Magnus Svärd

J. Comput. Phys., 2015

2014

Entropy-Stable Schemes for the Euler Equations with Far-Field and Wall Boundary Conditions.

Magnus Svärd, Hatice Özcan

J. Sci. Comput., 2014

Review of summation-by-parts schemes for initial-boundary-value problems.

Magnus Svärd, Jan Nordström

J. Comput. Phys., 2014

2011

Implicit-explicit schemes for flow equations with stiff source terms.

Magnus Svärd, Siddhartha Mishra

J. Comput. Appl. Math., 2011

2010

An adaptive implicit-explicit scheme for the DNS and LES of compressible flows on unstructured grids.

Mohammad Shoeybi, Magnus Svärd, Frank E. Ham, Parviz Moin

J. Comput. Phys., 2010

2009

Shock Capturing Artificial Dissipation for High-Order Finite Difference Schemes.

Magnus Svärd, Siddhartha Mishra

J. Sci. Comput., 2009

A stable and conservative high order multi-block method for the compressible Navier-Stokes equations.

Jan Nordström, Jing Gong, Edwin van der Weide, Magnus Svärd

J. Comput. Phys., 2009

2008

A stable high-order finite difference scheme for the compressible Navier-Stokes equations: No-slip wall boundary conditions.

Magnus Svärd, Jan Nordström

J. Comput. Phys., 2008

Stable and accurate schemes for the compressible Navier-Stokes equations.

Ken Mattsson, Magnus Svärd, Mohammad Shoeybi

J. Comput. Phys., 2008

2007

A stable high-order finite difference scheme for the compressible Navier-Stokes equations, far-field boundary conditions.

Magnus Svärd, Mark H. Carpenter, Jan Nordström

J. Comput. Phys., 2007

2006

On the order of accuracy for difference approximations of initial-boundary value problems.

Magnus Svärd, Jan Nordström

J. Comput. Phys., 2006

2005

Well-Posed Boundary Conditions for the Navier-Stokes Equations.

Jan Nordström, Magnus Svärd

SIAM J. Numer. Anal., 2005

Steady-State Computations Using Summation-by-Parts Operators.

Magnus Svärd, Ken Mattsson, Jan Nordström

J. Sci. Comput., 2005

2004

On Coordinate Transformations for Summation-by-Parts Operators.

Magnus Svärd

J. Sci. Comput., 2004

Stable and Accurate Artificial Dissipation.

Ken Mattsson, Magnus Svärd, Jan Nordström

J. Sci. Comput., 2004