B
Björn Engquist
Researcher at University of Texas at Austin
Publications - 201
Citations - 16055
Björn Engquist is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Boundary value problem & Numerical analysis. The author has an hindex of 53, co-authored 198 publications receiving 14842 citations. Previous affiliations of Björn Engquist include University of California, Los Angeles & Uppsala University.
Papers
More filters
Journal ArticleDOI
Absorbing boundary conditions for the numerical simulation of waves
Björn Engquist,Andrew J. Majda +1 more
TL;DR: This work develops a systematic method for obtaining a hierarchy of local boundary conditions at these artifical boundaries that not only guarantee stable difference approximations, but also minimize the (unphysical) artificial reflections that occur at the boundaries.
Journal ArticleDOI
Absorbing boundary conditions for acoustic and elastic wave equations
Robert W. Clayton,Björn Engquist +1 more
TL;DR: In this article, boundary conditions are derived for numerical wave simulation that minimize artificial reflections from the edges of the domain of computation, based on paraxial approximations of the scalar and elastic wave equations.
Journal ArticleDOI
The Heterognous Multiscale Methods
Weinan E,Björn Engquist +1 more
TL;DR: The heterogenous multiscale method (HMM) as mentioned in this paper is a general methodology for the efficient numerical computation of problems with multiscales and multiphysics on multigrids.
Journal ArticleDOI
Radiation boundary conditions for acoustic and elastic wave calculations
Björn Engquist,Andrew Majda +1 more
TL;DR: In this article, a technique for developing radiating boundary conditions for artificial computational boundaries is described and applied to a class of problems typical in exploration seismology involving acoustic and elastic wave equations.
Journal Article
Heterogeneous multiscale methods: A review
TL;DR: This paper gives a systematic introduction to HMM, the heterogeneous multiscale methods, including the fundamental design principles behind the HMM philosophy and the main obstacles that have to be overcome.