• RICAM

    The Johann Radon Institute for Computational and Applied Mathematics (RICAM) of the Austrian Academy of Sciences was founded in 2003 by Heinz W. Engl. RICAM focuses on basic research in applied mathematics, and within the Institute mathematicians from all around the globe collaborate on common core areas in mathematical modeling, simulation, inverse problems and optimization.

    Read more
  • RICAM

    The Johann Radon Institute for Computational and Applied Mathematics (RICAM) of the Austrian Academy of Sciences was founded in 2003 by Heinz W. Engl. RICAM focuses on basic research in applied mathematics, and within the Institute mathematicians from all around the globe collaborate on common core areas in mathematical modeling, simulation, inverse problems and optimization.

    Read more
  • RICAM

    The Johann Radon Institute for Computational and Applied Mathematics (RICAM) of the Austrian Academy of Sciences was founded in 2003 by Heinz W. Engl. RICAM focuses on basic research in applied mathematics, and within the Institute mathematicians from all around the globe collaborate on common core areas in mathematical modeling, simulation, inverse problems and optimization.

    Read more
  • RICAM

    The Johann Radon Institute for Computational and Applied Mathematics (RICAM) of the Austrian Academy of Sciences was founded in 2003 by Heinz W. Engl. RICAM focuses on basic research in applied mathematics, and within the Institute mathematicians from all around the globe collaborate on common core areas in mathematical modeling, simulation, inverse problems and optimization.

    Read more
  • RICAM

    The Johann Radon Institute for Computational and Applied Mathematics (RICAM) of the Austrian Academy of Sciences was founded in 2003 by Heinz W. Engl. RICAM focuses on basic research in applied mathematics, and within the Institute mathematicians from all around the globe collaborate on common core areas in mathematical modeling, simulation, inverse problems and optimization.

    Read more
  • RICAM

    The Johann Radon Institute for Computational and Applied Mathematics (RICAM) of the Austrian Academy of Sciences was founded in 2003 by Heinz W. Engl. RICAM focuses on basic research in applied mathematics, and within the Institute mathematicians from all around the globe collaborate on common core areas in mathematical modeling, simulation, inverse problems and optimization.

    Read more

The Johann Radon Institute for Computational and Applied Mathematics (RICAM) of the Austrian Academy of Sciences was founded in 2003 by Heinz W. Engl. RICAM focuses on basic research in applied mathematics, and within the Institute mathematicians from all around the globe collaborate on common core areas in mathematical modeling, simulation, inverse problems and optimization.

Read more


Jobs

 

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Postdoc position in the Transfer Group

full-time, 40 hours per week

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News

 

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Publication in Joule: Advancing Electrochemical Impedance Analysis Through Innovations in the Distribution of Relaxation Times Method

The review article "Advancing Electrochemical Impedance Analysis Through Innovations in the Distribution of Relaxation Times Method",…

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Events

 

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Jun
18
15:30

Group Seminar: Computational Methods for PDEs

Speaker: Stefan Takacs
Type: Group Seminar
Location: S2 044
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Jun
20
15:30

RICAM Colloquium - Marjeta Knez - On Pythagorean-hodograph curves and their applications

Speaker: Marjeta Knez
Type: RICAM Colloquium
Location: SP2 416-2
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Recently Published

  • Philipp A. Guth, Claudia Schillings, and Simon Weissmann (online: 2024) One-Shot Learning of Surrogates in PDE-Constrained Optimizationunder Uncertainty. SIAM/ASA J. UNCERTAINTY QUANTIFICATION, Bd. 12 (2), S. 614--645.
    DOI RIS ENW BIB
  • Philipp A. Guth, Karl Kunisch, Sérgio S. Rodrigues (online: 2024) Tracking optimal feedback control under uncertain parameters. Physica D: Nonlinear Phenomena, Bd. 467, S. 134245.
    DOI RIS ENW BIB
  • Fujiwara, Hiroshi; David, Omogbhe; Sadiq, Kamran; Tamasan, Alexandru (2024) Inversion of the attenuated momenta ray transform of planar symmetric tensors. Inverse Problems, Bd. 40 (7), S. 33.
    DOI RIS ENW BIB
  • Holzleitner, Markus; Pereverzyev, Sergei V.; Zellinger, Werner (2024) Domain Generalization by Functional Regression. Numerical Functional Analysis and Optimization.
    DOIWebseite RIS ENW BIB