Proc. Int. Cong. of Math. – 2018 Rio de Janeiro, Vol–2526) ON THE STRUCTURE OF MEASURES CONSTRAINED BY LINEAR PDES Guido De Philippis and Filip Rindler

Source URL: eta.impa.br

• Mathematical analysis
• Measure theory
• Operator theory
• Partial differential equations
• Complex analysis
• Bounded variation
• Real analysis
• Differential forms on a Riemann surface
• NeumannPoincar operator

Journal of Computational Physics 182, 357–doi:jcphA Composite Runge–Kutta Method for the Spectral Solution of Semilinear PDEs Tobin A. Driscoll1

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Software Design for PDEs on GPUs Matthew Knepley Computation Institute University of Chicago Department of Molecular Biology and Physiology Rush University Medical Center

Source URL: fperez.org

On the Construction of Preconditioners for Systems of PDEs Kent-Andre Mardal Center for Biomedical Computing

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University of Crete Departments of Mathematics and Applied Mathematics PDEs in Physics and Material Science 11:00am, Thursday, 10 May 2018 Room A-303

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Janet’s approach to presentations and resolutions for polynomials and linear pdes. W. Plesken, D. Robertz Lehrstuhl B f¨ ur Mathematik, RWTH Aachen, Germany.

Source URL: wwwb.math.rwth-aachen.de

Sergei Kuksin Weakly non-linear resonant hamiltonian PDEs and the problem of wave turbulence 1

Source URL: media.scgp.stonybrook.edu

FRIEDRICH-ALEXANDER-UNIVERSITÄT ERLANGEN-NÜRNBERG TECHNISCHE FAKULTÄT • DEPARTMENT INFORMATIK Lehrstuhl für Informatik 10 (Systemsimulation) Solving Stochastic PDEs with Approximate Gaussian Markov Random

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POSTDOC POSITION within the ERC-Advanced Grant “From Open to Closed Loop Optimal Control of PDEs” Institute of Mathematics and Scientific Computing University of Graz About the project: While the project addresses a

Source URL: static.uni-graz.at

Bulletin of the Institute of Mathematics Academia Sinica (New Series) Vol), No. 1, ppA MODEL REDUCTION METHOD FOR ELLIPTIC PDES WITH RANDOM INPUT USING THE HETEROGENEOUS

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