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Johannes Huber

    January 1, 1946

    Johannes Huber is an Austrian physician and theologian whose work explores the intersection of medicine and theology. He delves into the profound spiritual and ethical dimensions of human health and existence. Huber's writings offer a unique perspective on the challenges of modern society. His interdisciplinary approach provides readers with novel insights into understanding life.

    Die Anti-Aging Revolution. Spielend schlank - länger jung
    Der Seelenheiler
    Interior-point methods for PDE-constrained optimization
    Conference record / 4rd International ITG Conference Source and Channel Coding
    The Pope and the Council
    Die Philosophie der Kirchenväter
    • 2022
    • 2022

      The Pope and the Council

      • 460 pages
      • 17 hours of reading

      This book is a critical analysis of the doctrinal and political issues that led to the Vatican Council of 1869-1870. The authors, Johannes Huber and Johann Joseph Ignaz von Döllinger, were prominent German theologians who opposed the doctrine of papal infallibility. They argue that the Council's decision to declare the doctrine was based on flawed reasoning and political considerations, rather than scriptural or theological grounds. The book remains an important resource for historians and theologians interested in the Catholic Church and its role in modern society.

      The Pope and the Council
    • 2013

      In applied sciences, PDEs model a wide range of phenomena, often aiming for an optimal system in simulations. These PDE-constrained optimization problems are typically large-scale and nonconvex, leading to ill-conditioned linear systems. Inequality constraints often reflect technical limitations or prior knowledge. This thesis explores interior-point (IP) methods for solving nonconvex large-scale PDE-constrained optimization problems with such constraints. To address the challenges posed by direct linear solvers, inexact search directions are incorporated into an inexact IP method. SMART tests help manage the lack of inertia information, controlling Hessian modification and defining termination tests for the iterative linear solver. The original inexact IP method requires solving two sparse large-scale linear systems per optimization step, which is optimized to a single system solution in most steps. Two iterative linear solvers are evaluated: a general-purpose algebraic multilevel preconditioned SQMR method applied to optimal server room cooling and ambient temperature computation, demonstrating robustness and efficiency compared to the exact IP method. The RSP GMRES solver, leveraging the linear system's structure, is also analyzed for control problems in superconductivity and groundwater modeling, showing improved efficiency, especially with multiple PDE constraints. The thesis further addresses an inverse medium problem fo

      Interior-point methods for PDE-constrained optimization
    • 2002