Geometric Integrators for Differential Equations with Highly Oscillatory Solutions

Geometric Integrators for Differential Equations with Highly Oscillatory Solutions
Author :
Publisher : Springer Nature
Total Pages : 507
Release :
ISBN-10 : 9789811601477
ISBN-13 : 981160147X
Rating : 4/5 (47X Downloads)

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 Related Books

Geometric Integrators for Differential Equations with Highly Oscillatory Solutions
Language: en
Pages: 507
Authors: Xinyuan Wu
Categories: Mathematics
Type: BOOK - Published: 2021-09-28 - Publisher: Springer Nature

DOWNLOAD EBOOK

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 lo
Geometric Integrators for Differential Equations with Highly Oscillatory Solutions
Language: en
Pages: 450
Authors: Xinyuan Wu
Categories: Differential equations
Type: BOOK - Published: 2020 - Publisher:

DOWNLOAD EBOOK

Simulating Hamiltonian Dynamics
Language: en
Pages: 464
Authors: Benedict Leimkuhler
Categories: Mathematics
Type: BOOK - Published: 2004 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Geometric integrators are time-stepping methods, designed such that they exactly satisfy conservation laws, symmetries or symplectic properties of a system of d
Geometric Numerical Integration
Language: en
Pages: 526
Authors: Ernst Hairer
Categories: Mathematics
Type: BOOK - Published: 2013-03-09 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book deals with numerical methods that preserve properties of Hamiltonian systems, reversible systems, differential equations on manifolds and problems wit
Logarithmic Norms
Language: en
Pages: 494
Authors: Gustaf Söderlind
Categories: Electronic books
Type: BOOK - Published: 2024 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book offers the first comprehensive account of how the logarithmic norm is used for matrices, nonlinear maps and linear differential operators, with a focu