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Showing 1 - 4 of 4 results for “michael hintermüller”
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  • Machine Learning Solutions for Inverse Problems: Part A

    by Michael Hintermüller, Andreas Hauptmann, Bangti Jin, Carola-Bibiane Schönlieb ...
    Series Book 26 - Handbook of Numerical Analysis
    Machine Learning Solutions for Inverse Problems: Part A, Volume 26 in the Handbook of Numerical Analysis, highlights new advances in the field, with this new volume presenting interesting chapters on a variety of timely topics, including Data-Driven Approaches for Generalized Lasso Problems, Implicit Regularization of the Deep Inverse Prior via (Inertial) Gradient Flow, Generalized Hardness of ... Read more

    $206.99 USD

  • Handbook of Numerical Methods for Hyperbolic Problems

    Applied and Modern Issues

    by Roland Glowinski, Qiang Du, Michael Hintermüller, Endre Süli ...
    Series Book 18 - Handbook of Numerical Analysis
    Handbook on Numerical Methods for Hyperbolic Problems: Applied and Modern Issues details the large amount of literature in the design, analysis, and application of various numerical algorithms for solving hyperbolic equations that has been produced in the last several decades. This volume provides concise summaries from experts in different types of algorithms, so that readers can find a variety ... Read more

    $206.99 USD

  • Handbook of Numerical Methods for Hyperbolic Problems

    Basic and Fundamental Issues

    by Qiang Du, Roland Glowinski, Michael Hintermüller, Endre Süli ...
    Series Book 17 - Handbook of Numerical Analysis
    Handbook of Numerical Methods for Hyperbolic Problems explores the changes that have taken place in the past few decades regarding literature in the design, analysis and application of various numerical algorithms for solving hyperbolic equations. This volume provides concise summaries from experts in different types of algorithms, so that readers can find a variety of algorithms under different ... Read more

    $206.99 USD

  • Non-Smooth and Complementarity-Based Distributed Parameter Systems

    Simulation and Hierarchical Optimization

    Edited by Michael Hintermüller, Roland Herzog, Christian Kanzow, Michael Ulbrich, Stefan Ulbrich ...
    Series series Mathematics and Statistics (R0)
    Many of the most challenging problems in the applied sciences involve non-differentiable structures as well as partial differential operators, thus leading to non-smooth distributed parameter systems. This edited volume aims to establish a theoretical and numerical foundation and develop new algorithmic paradigms for the treatment of non-smooth phenomena and associated parameter influences. Other ... Read more

    $107.09 USD