Mark Kärcher
Computational Mechanics · 2011–2018
A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 12 citations into it; #7,379 of 10,001 by trust here, #9,862 by citations
- Statistical and Nonlinear Physics — 10 citations into it; #7,121 of 10,127 by trust here, #9,953 by citations
- Numerical Analysis — 7 citations into it; #2,645 of 3,586 by trust here, #3,457 by citations
- Atmospheric Science — 5 citations into it
Whom Mark Kärcher trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yvon Maday
- Anthony T. Patera
- Dacian N. Daescu
- Ivar Ekeland
- Sebastian Reich
- Heinz W. Engl
- Gianluigi Rozza
- Ionel M. Navon
- Colin J. Cotter
- Yannick Trémolet
Who trusts Mark Kärcher overall
Papers from Mark Kärcher's perspective
Ordered by how strongly the researchers Mark Kärcher trusts endorse each paper. Same corpus, a different order for every researcher.
- An ‘empirical interpolation’ method: application to efficient reduced-basis discretization of partial differential equations
- A posteriori error bounds for reduced-basis approximations of parametrized parabolic partial differential equations
- A posteriori error estimation for reduced-basis approximation of parametrized elliptic coercive partial differential equations : “convex inverse” bound conditioners
- A parameterized‐background data‐weak approach to variational data assimilation: formulation, analysis, and application to acoustics
- Probabilistic Forecasting and Bayesian Data Assimilation
- Regularization of Inverse Problems
- A Dual-Weighted Approach to Order Reduction in 4DVAR Data Assimilation (Monthly Weather Review)
- Theory and practice of finite elements
- Accounting for an imperfect model in 4D‐Var
- Convex analysis and variational problems