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In the last ten years or so a considerable amount of work has been done to transform general relativlity into a mathematically rigorous disciple. With the work of Christodoulou and Klainerman on stability of Minkowski space-time, the work of Schoen and Yau on the positive energy theorem, the work of Christodoulou on the gravetational collapse, the work of Newman and others, on Yau's Lorentzian splitting conjecture, the work of Bartnick on maximal hypersurfaces in Lorentzian manifolds, general relativity has become a respectiable field of mathematical research.
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In the last ten years or so a considerable amount of work has been done to transform general relativlity into a mathematically rigorous disciple. With the work of Christodoulou and Klainerman on stability of Minkowski space-time, the work of Schoen and Yau on the positive energy theorem, the work of Christodoulou on the gravetational collapse, the work of Newman and others, on Yau's Lorentzian splitting conjecture, the work of Bartnick on maximal hypersurfaces in Lorentzian manifolds, general relativity has become a respectiable field of mathematical research.
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Choose an application
In the last ten years or so a considerable amount of work has been done to transform general relativlity into a mathematically rigorous disciple. With the work of Christodoulou and Klainerman on stability of Minkowski space-time, the work of Schoen and Yau on the positive energy theorem, the work of Christodoulou on the gravetational collapse, the work of Newman and others, on Yau's Lorentzian splitting conjecture, the work of Bartnick on maximal hypersurfaces in Lorentzian manifolds, general relativity has become a respectiable field of mathematical research.
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This thesis explores an accelerated alternating algorithm for solving the Cauchy problem associated with elliptic equations, utilizing Krylov subspaces. It addresses elliptic equations with variable coefficients and Helmholtz type equations, focusing on mixed boundary value problems, including Dirichlet and Robin conditions. The study reformulates the Cauchy problem as an operator equation, allowing the use of iterative methods such as the Conjugate Gradient Method and the Generalized Minimal Residual Method. The research demonstrates how these methods can be applied effectively, showing numerical success. The work is intended for mathematicians and researchers in science and engineering, offering insights into solving ill-posed inverse problems by improving stability through advanced algorithms.
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This thesis focuses on the iterative procedures for addressing the Cauchy problem for elliptic equations, particularly in unbounded domains. It examines the challenges of solving ill-posed problems, which are prevalent in various scientific and engineering applications. The work builds on methods initially proposed for the Laplace equation and extends them to the Helmholtz equation. The study demonstrates the convergence of iterative methods under specific conditions, emphasizing the importance of parameter choice in the Robin condition. It also explores the application of these methods in numerical experiments, highlighting their potential in fields like medicine and acoustics. The thesis is aimed at researchers and students in applied mathematics and engineering.
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This dissertation by Chepkorir Jennifer focuses on methods for solving Cauchy problems related to elliptic and degenerate elliptic equations, which are typically ill-posed. The research addresses boundary value problems by dividing the boundary into parts with known Cauchy data and unknown Robin data. Various algorithms, such as the alternating algorithm and Krylov subspace methods, are analyzed for their effectiveness in solving these equations. The work includes numerical experiments that demonstrate the convergence and stability of the proposed methods, including applications to heat conduction problems and more general degenerate elliptic equations. The intended audience includes mathematicians and researchers in applied mathematics and engineering.
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This dissertation by Pauline Achieng focuses on solving Cauchy problems for elliptic equations in bounded and unbounded domains using iterative methods. The work explores the challenges of obtaining stable solutions from indirect or incomplete measurements, common in scientific and engineering applications. It details the development of iterative techniques, particularly for the Helmholtz equation, and addresses issues of convergence and stability. The dissertation aims to enhance understanding and methodologies for these complex mathematical problems, targeting researchers and professionals in mathematics and engineering fields.
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