• 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.

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  • 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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PhD position in Inverse Problems and Mathematical Imaging, project Cong Shi

part-time, 30 hours per week

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News

 

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Public focus on focused ultrasound

The recent edition of „Heureka“, a science magazine of Austrian newspaper „Falter“, is featuring our colleague Simon Hackl. These…

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Events

 

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Feb
26
May
17

Special Semester on Rigidity and Flexibility

Type: Special Semester
Location: RICAM, SP2
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Apr
15
Apr
19

Workshop 4 "Barcamp — From rigidity to flexibility and back"

Speaker:
Type: Special Semester
Location: SP2 416-2
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Apr
24
14:00

Joint Fudan - RICAM Seminar on Inverse Problems

Type: Seminar
Location: Zoom
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Recently Published

  • Brunk, A.; Egger, H.; Oyedeji, T. D.; Yang, Y.; Xu, B. -X. (2024) On existence, uniqueness and stability of solutions to Cahn-Hilliard/Allen-Cahn systems with cross-kinetic coupling. NONLINEAR ANAL-REAL, Bd. 77, S. ARTN 104051.
    DOIRISENWBIB
  • Holzleitner, Markus; Pereverzyev, Sergei V.; Zellinger, Werner (2024) Domain Generalization by Functional Regression. Numerical Functional Analysis and Optimization.
    DOIWebsiteRISENWBIB
  • Guth, Philipp A.; Kaarnioja, Vesa (2024) Generalized dimension truncation error analysis for high-dimensional numerical integration: lognormal setting and beyond. SIAM J. Numer. Anal., Bd. 62 (2), S. 872-892.
    DOIRISENWBIB
  • Rannetbauer, Wolfgang; Hambrock, Carina; Hubmer, Simon; Ramlau, Ronny (2024) Enhancing Predictive Quality in HVOF Coating Technology: A Comparative Analysis of Machine Learning Techniques. Procedia Computer Science, Bd. 232, S. 1377-1387.
    DOIRISENWBIB