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Hamilton-Jacobi Equations: Approximations, Numerical Analysis and Applications

Author: Yves Achdou

Publisher: Springer

Published: 2013-05-24

Total Pages: 316

ISBN-13: 3642364330

These Lecture Notes contain the material relative to the courses given at the CIME summer school held in Cetraro, Italy from August 29 to September 3, 2011. The topic was "Hamilton-Jacobi Equations: Approximations, Numerical Analysis and Applications". The courses dealt mostly with the following subjects: first order and second order Hamilton-Jacobi-Bellman equations, properties of viscosity solutions, asymptotic behaviors, mean field games, approximation and numerical methods, idempotent analysis. The content of the courses ranged from an introduction to viscosity solutions to quite advanced topics, at the cutting edge of research in the field. We believe that they opened perspectives on new and delicate issues. These lecture notes contain four contributions by Yves Achdou (Finite Difference Methods for Mean Field Games), Guy Barles (An Introduction to the Theory of Viscosity Solutions for First-order Hamilton-Jacobi Equations and Applications), Hitoshi Ishii (A Short Introduction to Viscosity Solutions and the Large Time Behavior of Solutions of Hamilton-Jacobi Equations) and Grigory Litvinov (Idempotent/Tropical Analysis, the Hamilton-Jacobi and Bellman Equations).

Hamilton-Jacobi-Bellman Equations

Author: Dante Kalise

Publisher: Walter de Gruyter GmbH & Co KG

Published: 2018-08-06

Total Pages: 261

ISBN-13: 3110542714

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Optimal feedback control arises in different areas such as aerospace engineering, chemical processing, resource economics, etc. In this context, the application of dynamic programming techniques leads to the solution of fully nonlinear Hamilton-Jacobi-Bellman equations. This book presents the state of the art in the numerical approximation of Hamilton-Jacobi-Bellman equations, including post-processing of Galerkin methods, high-order methods, boundary treatment in semi-Lagrangian schemes, reduced basis methods, comparison principles for viscosity solutions, max-plus methods, and the numerical approximation of Monge-Ampère equations. This book also features applications in the simulation of adaptive controllers and the control of nonlinear delay differential equations. Contents From a monotone probabilistic scheme to a probabilistic max-plus algorithm for solving Hamilton–Jacobi–Bellman equations Improving policies for Hamilton–Jacobi–Bellman equations by postprocessing Viability approach to simulation of an adaptive controller Galerkin approximations for the optimal control of nonlinear delay differential equations Efficient higher order time discretization schemes for Hamilton–Jacobi–Bellman equations based on diagonally implicit symplectic Runge–Kutta methods Numerical solution of the simple Monge–Ampere equation with nonconvex Dirichlet data on nonconvex domains On the notion of boundary conditions in comparison principles for viscosity solutions Boundary mesh refinement for semi-Lagrangian schemes A reduced basis method for the Hamilton–Jacobi–Bellman equation within the European Union Emission Trading Scheme

Semi-Lagrangian Approximation Schemes for Linear and Hamilton-Jacobi Equations

Author: Maurizio Falcone

Publisher: SIAM

Published: 2014-01-31

Total Pages: 331

ISBN-13: 161197304X

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This largely self-contained book provides a unified framework of semi-Lagrangian strategy for the approximation of hyperbolic PDEs, with a special focus on Hamilton-Jacobi equations. The authors provide a rigorous discussion of the theory of viscosity solutions and the concepts underlying the construction and analysis of difference schemes; they then proceed to high-order semi-Lagrangian schemes and their applications to problems in fluid dynamics, front propagation, optimal control, and image processing. The developments covered in the text and the references come from a wide range of literature.

Approximation of Hamilton Jacobi Equations on Irregular Data

Author: Adriano Festa

Publisher: LAP Lambert Academic Publishing

Published: 2012-05

Total Pages: 128

ISBN-13: 9783659140532

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This book deals with the development and the analysis of numerical methods for the resolution of first order nonlinear differential equations of Hamilton-Jacobi type on irregular data. These equations arises for example in the study of front propagation via the level set methods, the Shape-from-Shading problem and, in general, in Control theory. Our contribution to the numerical approximation of Hamilton-Jacobi equations consists in the proposal of some semiLagrangian schemes for different kind of discontinuous Hamiltonian and in an analysis of their convergence and a comparison of the results on some test problems. In particular we will approach with an eikonal equation with discontinuous coefficients in a well posed case of existence of Lipschitz continuous solutions. Furthermore, we propose a semiLagrangian scheme also for a Hamilton-Jacobi equation of a eikonal type on a ramified space, for example a graph. This is a not classical domain and only in last years there are developed a systematic theory about this. We present, also, some applications of our results on several problems arise from applied sciences.

Variational Methods for Hamilton-Jacobi Equations and Applications

Author: Hamza Ennaji

Publisher:

Published: 2021

Total Pages: 0

ISBN-13:

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In this thesis we propose some variational methods for the mathematical and numerical analysis of a class of HJ equations. Thanks to the metric character of these equations, the set of subsolution corresponds to the set of 1-Lipschitz functions with respect to the Finsler metric associated to the Hamiltonian. Equivalently, it corresponds to the set of functions whose gradient belongs to a Finsler ball. The solution we are looking for is the maximal one, which can be described via a Hopf-Lax formula, solves a maximization problem under gradient constraint. We derive the associated dual problem which involves the Finsler total variation of vector measures under a divergence constraint. We take advantage of this saddle-point structure to use the augmented Lagrangian method for the numerical approximation of HJ equation. This characterization of the HJ equation allows making the link with some optimal transport problems. This link with optimal transport leads us to generalize the Evans-Gangbo approach. In fact, we show that the maximal viscosity subsolution of the HJ equation can be recovered by taking p→ ∞ in a class of Finslerp-Laplace problems with boundary obstacles. In addition, this allows us to construct the optimal flow for the associated Beckmann problem. As an application, we use our variational approach for the Shape from Shading problem.

Dynamical and Geometric Aspects of Hamilton-Jacobi and Linearized Monge-Ampère Equations

Author: Hiroyoshi Mitake

Publisher: Springer

Published: 2017-06-14

Total Pages: 233

ISBN-13: 3319542087

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Consisting of two parts, the first part of this volume is an essentially self-contained exposition of the geometric aspects of local and global regularity theory for the Monge–Ampère and linearized Monge–Ampère equations. As an application, we solve the second boundary value problem of the prescribed affine mean curvature equation, which can be viewed as a coupling of the latter two equations. Of interest in its own right, the linearized Monge–Ampère equation also has deep connections and applications in analysis, fluid mechanics and geometry, including the semi-geostrophic equations in atmospheric flows, the affine maximal surface equation in affine geometry and the problem of finding Kahler metrics of constant scalar curvature in complex geometry. Among other topics, the second part provides a thorough exposition of the large time behavior and discounted approximation of Hamilton–Jacobi equations, which have received much attention in the last two decades, and a new approach to the subject, the nonlinear adjoint method, is introduced. The appendix offers a short introduction to the theory of viscosity solutions of first-order Hamilton–Jacobi equations.

Numerical Methods for Hamilton-Jacobi Equations and Their Applications

Author: Yen-Hsi Richard Tsai

Publisher:

Published: 2002

Total Pages: 424

ISBN-13:

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Hamilton–Jacobi Equations: Theory and Applications

Author: Hung V. Tran

Publisher: American Mathematical Soc.

Published: 2021-08-16

Total Pages: 322

ISBN-13: 1470465116

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This book gives an extensive survey of many important topics in the theory of Hamilton–Jacobi equations with particular emphasis on modern approaches and viewpoints. Firstly, the basic well-posedness theory of viscosity solutions for first-order Hamilton–Jacobi equations is covered. Then, the homogenization theory, a very active research topic since the late 1980s but not covered in any standard textbook, is discussed in depth. Afterwards, dynamical properties of solutions, the Aubry–Mather theory, and weak Kolmogorov–Arnold–Moser (KAM) theory are studied. Both dynamical and PDE approaches are introduced to investigate these theories. Connections between homogenization, dynamical aspects, and the optimal rate of convergence in homogenization theory are given as well. The book is self-contained and is useful for a course or for references. It can also serve as a gentle introductory reference to the homogenization theory.

Numerical Methods for Static Hamilton-Jacobi Equations

Author: Songting Luo

Publisher:

Published: 2009

Total Pages: 145

ISBN-13: 9781109153477

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Crandall and Lions [23] introduced the concept of viscosity solutions which provides a foundation for studying the Hamilton-Jacobi equations both theoretically and numerically. Ever since then, computing the viscosity solutions numerically has become very important in a variety of applications. A lot of numerical methods have been developed to compute the viscosity solutions. We study the convergence of classical monotone upwind schemes, for example the fast sweeping method, for static convex Hamilton-Jacobi equations by analyzing a contraction property of such schemes. Heuristic error estimate is discussed, and the convergence proof through the Hopf formula in control theory is also studied. Monotone upwind schemes are at most first order [51]. In order to improve the accuracy when there is source singularity, we introduce a new fast sweeping method for the factored Eikonal equation, which improves the accuracy of original fast sweeping method on the Eikonal equation by resolving the source singularity with an underlying correction function. This new factorization idea comes from problems in geosciences. And it provides a possible procedure for source singularity resolution in other problems. Furthermore, high order schemes are also important in many applications, for example the high frequency wave propagation. The ENO or WENO technique seems to be the popular one. But methods based on ENO or WENO are often slower to converge. They are based on direction by direction approximations with wide stencils to capture smoother approximations of second derivatives. We develop a compact upwind second order scheme for the Eikonal equations by observing a superconvergence phenomena of classical monotone upwind schemes: the numerical gradient of such first order schemes is also first order. The new second order scheme combines this phenomena with the Lagrangian structure of the equations. The stencil can be reduced, and it is upwind. As an application of the fast sweeping method, we apply the method in computer vision by introducing a distance-ordered-homotopic thinning algorithm for computing the skeleton of an object represented by point clouds. This algorithm uses the closest point information calculated efficiently by the fast sweeping method. Further possible ideas on developing fast sweeping methods for static non-convex Hamilton-Jacobi equations are also discussed in the conclusion.

Two Approximations of Solutions of Hamilton-Jacobi Equations

Author: Michael G. Crandall

Publisher:

Published: 1982

Total Pages: 31

ISBN-13:

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Equations of Hamilton-Jacobi type arise in many areas of application, including the calculus of variations, control theory and differential games. The associated initial-value problems almost never have global-time classical solutions, and one must deal with suitable generalized solutions. The correct class of generalized solutions has only recently been established by the authors. This article establishes the convergence of a class of difference approximations to these solutions by obtaining explicit error estimates. Analogous results are proved by similar means for the method of vanishing viscosity. (Author).