Geometric Integrators for Differential Equations with Highly Oscillatory Solutions

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Publisher : Springer Nature
ISBN 13 : 981160147X
Total Pages : 507 pages
Book Rating : 4.77/5 ( download)

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Book Synopsis Geometric Integrators for Differential Equations with Highly Oscillatory Solutions by : Xinyuan Wu

Download or read book Geometric Integrators for Differential Equations with Highly Oscillatory Solutions written by Xinyuan Wu and published by Springer Nature. This book was released on 2021-09-28 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: The idea of structure-preserving algorithms appeared in the 1980's. The new paradigm brought many innovative changes. The new paradigm wanted to identify the long-time behaviour of the solutions or the existence of conservation laws or some other qualitative feature of the dynamics. Another area that has kept growing in importance within Geometric Numerical Integration is the study of highly-oscillatory problems: problems where the solutions are periodic or quasiperiodic and have to be studied in time intervals that include an extremely large number of periods. As is known, these equations cannot be solved efficiently using conventional methods. A further study of novel geometric integrators has become increasingly important in recent years. The objective of this monograph is to explore further geometric integrators for highly oscillatory problems that can be formulated as systems of ordinary and partial differential equations. Facing challenging scientific computational problems, this book presents some new perspectives of the subject matter based on theoretical derivations and mathematical analysis, and provides high-performance numerical simulations. In order to show the long-time numerical behaviour of the simulation, all the integrators presented in this monograph have been tested and verified on highly oscillatory systems from a wide range of applications in the field of science and engineering. They are more efficient than existing schemes in the literature for differential equations that have highly oscillatory solutions. This book is useful to researchers, teachers, students and engineers who are interested in Geometric Integrators and their long-time behaviour analysis for differential equations with highly oscillatory solutions.

Geometric Integrators for Differential Equations with Highly Oscillatory Solutions

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Publisher :
ISBN 13 : 9787030671127
Total Pages : 450 pages
Book Rating : 4.20/5 ( download)

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Book Synopsis Geometric Integrators for Differential Equations with Highly Oscillatory Solutions by : Xinyuan Wu

Download or read book Geometric Integrators for Differential Equations with Highly Oscillatory Solutions written by Xinyuan Wu and published by . This book was released on 2020 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Geometric Numerical Integration

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Publisher : Springer Science & Business Media
ISBN 13 : 3662050188
Total Pages : 526 pages
Book Rating : 4.87/5 ( download)

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Book Synopsis Geometric Numerical Integration by : Ernst Hairer

Download or read book Geometric Numerical Integration written by Ernst Hairer and published by Springer Science & Business Media. This book was released on 2013-03-09 with total page 526 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book deals with numerical methods that preserve properties of Hamiltonian systems, reversible systems, differential equations on manifolds and problems with highly oscillatory solutions. A complete self-contained theory of symplectic and symmetric methods, which include Runge-Kutta, composition, splitting, multistep and various specially designed integrators, is presented and their construction and practical merits are discussed. The long-time behaviour of the numerical solutions is studied using a backward error analysis (modified equations) combined with KAM theory. The book is illustrated by numerous figures, treats applications from physics and astronomy, and contains many numerical experiments and comparisons of different approaches.

Current Challenges in Stability Issues for Numerical Differential Equations

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Publisher : Springer
ISBN 13 : 3319013009
Total Pages : 324 pages
Book Rating : 4.08/5 ( download)

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Book Synopsis Current Challenges in Stability Issues for Numerical Differential Equations by : Wolf-Jürgen Beyn

Download or read book Current Challenges in Stability Issues for Numerical Differential Equations written by Wolf-Jürgen Beyn and published by Springer. This book was released on 2013-12-12 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume addresses some of the research areas in the general field of stability studies for differential equations, with emphasis on issues of concern for numerical studies. Topics considered include: (i) the long time integration of Hamiltonian Ordinary DEs and highly oscillatory systems, (ii) connection between stochastic DEs and geometric integration using the Markov chain Monte Carlo method, (iii) computation of dynamic patterns in evolutionary partial DEs, (iv) decomposition of matrices depending on parameters and localization of singularities, and (v) uniform stability analysis for time dependent linear initial value problems of ODEs. The problems considered in this volume are of interest to people working on numerical as well as qualitative aspects of differential equations, and it will serve both as a reference and as an entry point into further research.

Simulating Hamiltonian Dynamics

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Publisher : Cambridge University Press
ISBN 13 : 9780521772907
Total Pages : 464 pages
Book Rating : 4.07/5 ( download)

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Book Synopsis Simulating Hamiltonian Dynamics by : Benedict Leimkuhler

Download or read book Simulating Hamiltonian Dynamics written by Benedict Leimkuhler and published by Cambridge University Press. This book was released on 2004 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geometric integrators are time-stepping methods, designed such that they exactly satisfy conservation laws, symmetries or symplectic properties of a system of differential equations. In this book the authors outline the principles of geometric integration and demonstrate how they can be applied to provide efficient numerical methods for simulating conservative models. Beginning from basic principles and continuing with discussions regarding the advantageous properties of such schemes, the book introduces methods for the N-body problem, systems with holonomic constraints, and rigid bodies. More advanced topics treated include high-order and variable stepsize methods, schemes for treating problems involving multiple time-scales, and applications to molecular dynamics and partial differential equations. The emphasis is on providing a unified theoretical framework as well as a practical guide for users. The inclusion of examples, background material and exercises enhance the usefulness of the book for self-instruction or as a text for a graduate course on the subject.

Discrete Mechanics, Geometric Integration and Lie–Butcher Series

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Publisher : Springer
ISBN 13 : 3030013979
Total Pages : 361 pages
Book Rating : 4.74/5 ( download)

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Book Synopsis Discrete Mechanics, Geometric Integration and Lie–Butcher Series by : Kurusch Ebrahimi-Fard

Download or read book Discrete Mechanics, Geometric Integration and Lie–Butcher Series written by Kurusch Ebrahimi-Fard and published by Springer. This book was released on 2018-11-05 with total page 361 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume resulted from presentations given at the international “Brainstorming Workshop on New Developments in Discrete Mechanics, Geometric Integration and Lie–Butcher Series”, that took place at the Instituto de Ciencias Matemáticas (ICMAT) in Madrid, Spain. It combines overview and research articles on recent and ongoing developments, as well as new research directions. Why geometric numerical integration? In their article of the same title Arieh Iserles and Reinout Quispel, two renowned experts in numerical analysis of differential equations, provide a compelling answer to this question. After this introductory chapter a collection of high-quality research articles aim at exploring recent and ongoing developments, as well as new research directions in the areas of geometric integration methods for differential equations, nonlinear systems interconnections, and discrete mechanics. One of the highlights is the unfolding of modern algebraic and combinatorial structures common to those topics, which give rise to fruitful interactions between theoretical as well as applied and computational perspectives. The volume is aimed at researchers and graduate students interested in theoretical and computational problems in geometric integration theory, nonlinear control theory, and discrete mechanics.

An Efficient Numerical Method for Highly Oscillatory Ordinary Differential Equations

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Publisher :
ISBN 13 :
Total Pages : 288 pages
Book Rating : 4.45/5 ( download)

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Book Synopsis An Efficient Numerical Method for Highly Oscillatory Ordinary Differential Equations by : Linda Ruth Petzold

Download or read book An Efficient Numerical Method for Highly Oscillatory Ordinary Differential Equations written by Linda Ruth Petzold and published by . This book was released on 1978 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt:

A First Course in the Numerical Analysis of Differential Equations

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Publisher : Cambridge University Press
ISBN 13 : 113947376X
Total Pages : 481 pages
Book Rating : 4.67/5 ( download)

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Book Synopsis A First Course in the Numerical Analysis of Differential Equations by : Arieh Iserles

Download or read book A First Course in the Numerical Analysis of Differential Equations written by Arieh Iserles and published by Cambridge University Press. This book was released on 2008-11-27 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerical analysis presents different faces to the world. For mathematicians it is a bona fide mathematical theory with an applicable flavour. For scientists and engineers it is a practical, applied subject, part of the standard repertoire of modelling techniques. For computer scientists it is a theory on the interplay of computer architecture and algorithms for real-number calculations. The tension between these standpoints is the driving force of this book, which presents a rigorous account of the fundamentals of numerical analysis of both ordinary and partial differential equations. The exposition maintains a balance between theoretical, algorithmic and applied aspects. This second edition has been extensively updated, and includes new chapters on emerging subject areas: geometric numerical integration, spectral methods and conjugate gradients. Other topics covered include multistep and Runge-Kutta methods; finite difference and finite elements techniques for the Poisson equation; and a variety of algorithms to solve large, sparse algebraic systems.

Line Integral Methods for Conservative Problems

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Publisher : CRC Press
ISBN 13 : 9780367377304
Total Pages : 222 pages
Book Rating : 4.06/5 ( download)

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Book Synopsis Line Integral Methods for Conservative Problems by : LUIGI. IAVERNARO BRUGNANO (FELICE.)

Download or read book Line Integral Methods for Conservative Problems written by LUIGI. IAVERNARO BRUGNANO (FELICE.) and published by CRC Press. This book was released on 2019-08-30 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Line Integral Methods for Conservative Problems explains the numerical solution of differential equations within the framework of geometric integration, a branch of numerical analysis that devises numerical methods able to reproduce (in the discrete solution) relevant geometric properties of the continuous vector field. The book focuses on a large set of differential systems named conservative problems, particularly Hamiltonian systems. Assuming only basic knowledge of numerical quadrature and Runge-Kutta methods, this self-contained book begins with an introduction to the line integral methods. It describes numerous Hamiltonian problems encountered in a variety of applications and presents theoretical results concerning the main instance of line integral methods: the energy-conserving Runge-Kutta methods, also known as Hamiltonian boundary value methods (HBVMs). The authors go on to address the implementation of HBVMs in order to recover in the numerical solution what was expected from the theory. The book also covers the application of HBVMs to handle the numerical solution of Hamiltonian partial differential equations (PDEs) and explores extensions of the energy-conserving methods. With many examples of applications, this book provides an accessible guide to the subject yet gives you enough details to allow concrete use of the methods. MATLAB codes for implementing the methods are available online.

Structure-Preserving Algorithms for Oscillatory Differential Equations II

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Publisher : Springer
ISBN 13 : 3662481561
Total Pages : 298 pages
Book Rating : 4.61/5 ( download)

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Book Synopsis Structure-Preserving Algorithms for Oscillatory Differential Equations II by : Xinyuan Wu

Download or read book Structure-Preserving Algorithms for Oscillatory Differential Equations II written by Xinyuan Wu and published by Springer. This book was released on 2016-03-03 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes a variety of highly effective and efficient structure-preserving algorithms for second-order oscillatory differential equations. Such systems arise in many branches of science and engineering, and the examples in the book include systems from quantum physics, celestial mechanics and electronics. To accurately simulate the true behavior of such systems, a numerical algorithm must preserve as much as possible their key structural properties: time-reversibility, oscillation, symplecticity, and energy and momentum conservation. The book describes novel advances in RKN methods, ERKN methods, Filon-type asymptotic methods, AVF methods, and trigonometric Fourier collocation methods. The accuracy and efficiency of each of these algorithms are tested via careful numerical simulations, and their structure-preserving properties are rigorously established by theoretical analysis. The book also gives insights into the practical implementation of the methods. This book is intended for engineers and scientists investigating oscillatory systems, as well as for teachers and students who are interested in structure-preserving algorithms for differential equations.