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Symplectic Geometric Algorithms For Hamiltonian Systems
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Book Synopsis Symplectic Geometric Algorithms for Hamiltonian Systems by : Kang Feng
Download or read book Symplectic Geometric Algorithms for Hamiltonian Systems written by Kang Feng and published by Springer Science & Business Media. This book was released on 2010-10-18 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Symplectic Geometric Algorithms for Hamiltonian Systems" will be useful not only for numerical analysts, but also for those in theoretical physics, computational chemistry, celestial mechanics, etc. The book generalizes and develops the generating function and Hamilton-Jacobi equation theory from the perspective of the symplectic geometry and symplectic algebra. It will be a useful resource for engineers and scientists in the fields of quantum theory, astrophysics, atomic and molecular dynamics, climate prediction, oil exploration, etc. Therefore a systematic research and development of numerical methodology for Hamiltonian systems is well motivated. Were it successful, it would imply wide-ranging applications.
Book Synopsis Symplectic Geometric Algorithms for Hamiltonian Systems by : Kang Feng
Download or read book Symplectic Geometric Algorithms for Hamiltonian Systems written by Kang Feng and published by Springer. This book was released on 2014-04-14 with total page 676 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Symplectic Geometric Algorithms for Hamiltonian Systems" will be useful not only for numerical analysts, but also for those in theoretical physics, computational chemistry, celestial mechanics, etc. The book generalizes and develops the generating function and Hamilton-Jacobi equation theory from the perspective of the symplectic geometry and symplectic algebra. It will be a useful resource for engineers and scientists in the fields of quantum theory, astrophysics, atomic and molecular dynamics, climate prediction, oil exploration, etc. Therefore a systematic research and development of numerical methodology for Hamiltonian systems is well motivated. Were it successful, it would imply wide-ranging applications.
Book Synopsis Symplectic Geometry of Integrable Hamiltonian Systems by : Michèle Audin
Download or read book Symplectic Geometry of Integrable Hamiltonian Systems written by Michèle Audin and published by Springer Science & Business Media. This book was released on 2003-04-24 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Among all the Hamiltonian systems, the integrable ones have special geometric properties; in particular, their solutions are very regular and quasi-periodic. This book serves as an introduction to symplectic and contact geometry for graduate students, exploring the underlying geometry of integrable Hamiltonian systems. Includes exercises designed to complement the expositiont, and up-to-date references.
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.
Book Synopsis A Concise Introduction to Geometric Numerical Integration by : Sergio Blanes
Download or read book A Concise Introduction to Geometric Numerical Integration written by Sergio Blanes and published by CRC Press. This book was released on 2017-11-22 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover How Geometric Integrators Preserve the Main Qualitative Properties of Continuous Dynamical Systems A Concise Introduction to Geometric Numerical Integration presents the main themes, techniques, and applications of geometric integrators for researchers in mathematics, physics, astronomy, and chemistry who are already familiar with numerical tools for solving differential equations. It also offers a bridge from traditional training in the numerical analysis of differential equations to understanding recent, advanced research literature on numerical geometric integration. The book first examines high-order classical integration methods from the structure preservation point of view. It then illustrates how to construct high-order integrators via the composition of basic low-order methods and analyzes the idea of splitting. It next reviews symplectic integrators constructed directly from the theory of generating functions as well as the important category of variational integrators. The authors also explain the relationship between the preservation of the geometric properties of a numerical method and the observed favorable error propagation in long-time integration. The book concludes with an analysis of the applicability of splitting and composition methods to certain classes of partial differential equations, such as the Schrödinger equation and other evolution equations. The motivation of geometric numerical integration is not only to develop numerical methods with improved qualitative behavior but also to provide more accurate long-time integration results than those obtained by general-purpose algorithms. Accessible to researchers and post-graduate students from diverse backgrounds, this introductory book gets readers up to speed on the ideas, methods, and applications of this field. Readers can reproduce the figures and results given in the text using the MATLAB® programs and model files available online.
Book Synopsis The Geometry of Hamiltonian Systems by : Tudor Ratiu
Download or read book The Geometry of Hamiltonian Systems written by Tudor Ratiu and published by . This book was released on 1991 with total page 527 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Integrable Hamiltonian Systems by : A.V. Bolsinov
Download or read book Integrable Hamiltonian Systems written by A.V. Bolsinov and published by CRC Press. This book was released on 2004-02-25 with total page 752 pages. Available in PDF, EPUB and Kindle. Book excerpt: Integrable Hamiltonian systems have been of growing interest over the past 30 years and represent one of the most intriguing and mysterious classes of dynamical systems. This book explores the topology of integrable systems and the general theory underlying their qualitative properties, singularites, and topological invariants. The authors,
Book Synopsis Symplectic Geometry by : Helmut Hofer
Download or read book Symplectic Geometry written by Helmut Hofer and published by Springer Nature. This book was released on 2022-12-05 with total page 1157 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the course of his distinguished career, Claude Viterbo has made a number of groundbreaking contributions in the development of symplectic geometry/topology and Hamiltonian dynamics. The chapters in this volume – compiled on the occasion of his 60th birthday – are written by distinguished mathematicians and pay tribute to his many significant and lasting achievements.
Book Synopsis Structure-Preserving Algorithms for Oscillatory Differential Equations by : Xinyuan Wu
Download or read book Structure-Preserving Algorithms for Oscillatory Differential Equations written by Xinyuan Wu and published by Springer Science & Business Media. This book was released on 2013-02-02 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Structure-Preserving Algorithms for Oscillatory Differential Equations describes a large number of highly effective and efficient structure-preserving algorithms for second-order oscillatory differential equations by using theoretical analysis and numerical validation. Structure-preserving algorithms for differential equations, especially for oscillatory differential equations, play an important role in the accurate simulation of oscillatory problems in applied sciences and engineering. The book discusses novel advances in the ARKN, ERKN, two-step ERKN, Falkner-type and energy-preserving methods, etc. for oscillatory differential equations. The work is intended for scientists, engineers, teachers and students who are interested in structure-preserving algorithms for differential equations. Xinyuan Wu is a professor at Nanjing University; Xiong You is an associate professor at Nanjing Agricultural University; Bin Wang is a joint Ph.D student of Nanjing University and University of Cambridge.
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.
Book Synopsis Hamiltonian Mechanical Systems and Geometric Quantization by : Mircea Puta
Download or read book Hamiltonian Mechanical Systems and Geometric Quantization written by Mircea Puta and published by . This book was released on 1993-06-30 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents various aspects of the geometry of symplectic and Poisson manifolds, and applications in Hamiltonian mechanics and geometric quantization are indicated. Chapter 1 presents some general facts about symplectic vector space, symplectic manifolds and symplectic reduction. Chapter 2 deals with the study of Hamiltonian mechanics. Chapter 3 considers some standard facts concerning Lie groups and algebras which lead to the theory of momentum mappings and the Marsden--Weinstein reduction. Chapters 4 and 5 consider the theory and the stability of equilibrium solutions of Hamilton--Poisson mechanical systems. Chapters 6 and 7 are devoted to the theory of geometric quantization. This leads, in Chapter 8, to topics such as foliated cohomology, the theory of the Dolbeault--Kostant complex, and their applications. A discussion of the relation between geometric quantization and the Marsden--Weinstein reduction is presented in Chapter 9. The final chapter considers extending the theory of geometric quantization to Poisson manifolds, via the theory of symplectic groupoids. Each chapter concludes with problems and solutions, many of which present significant applications and, in some cases, major theorems. For graduate students and researchers whose interests and work involve symplectic geometry and Hamiltonian mechanics.
Book Synopsis Symplectic Difference Systems: Oscillation and Spectral Theory by : Ondřej Došlý
Download or read book Symplectic Difference Systems: Oscillation and Spectral Theory written by Ondřej Došlý and published by Springer Nature. This book was released on 2019-09-06 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph is devoted to covering the main results in the qualitative theory of symplectic difference systems, including linear Hamiltonian difference systems and Sturm-Liouville difference equations, with the emphasis on the oscillation and spectral theory. As a pioneer monograph in this field it contains nowadays standard theory of symplectic systems, as well as the most current results in this field, which are based on the recently developed central object - the comparative index. The book contains numerous results and citations, which were till now scattered only in journal papers. The book also provides new applications of the theory of matrices in this field, in particular of the Moore-Penrose pseudoinverse matrices, orthogonal projectors, and symplectic matrix factorizations. Thus it brings this topic to the attention of researchers and students in pure as well as applied mathematics.
Book Synopsis Lie Group Machine Learning by : Fanzhang Li
Download or read book Lie Group Machine Learning written by Fanzhang Li and published by Walter de Gruyter GmbH & Co KG. This book was released on 2018-11-05 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explains deep learning concepts and derives semi-supervised learning and nuclear learning frameworks based on cognition mechanism and Lie group theory. Lie group machine learning is a theoretical basis for brain intelligence, Neuromorphic learning (NL), advanced machine learning, and advanced artifi cial intelligence. The book further discusses algorithms and applications in tensor learning, spectrum estimation learning, Finsler geometry learning, Homology boundary learning, and prototype theory. With abundant case studies, this book can be used as a reference book for senior college students and graduate students as well as college teachers and scientific and technical personnel involved in computer science, artifi cial intelligence, machine learning, automation, mathematics, management science, cognitive science, financial management, and data analysis. In addition, this text can be used as the basis for teaching the principles of machine learning. Li Fanzhang is professor at the Soochow University, China. He is director of network security engineering laboratory in Jiangsu Province and is also the director of the Soochow Institute of industrial large data. He published more than 200 papers, 7 academic monographs, and 4 textbooks. Zhang Li is professor at the School of Computer Science and Technology of the Soochow University. She published more than 100 papers in journals and conferences, and holds 23 patents. Zhang Zhao is currently an associate professor at the School of Computer Science and Technology of the Soochow University. He has authored and co-authored more than 60 technical papers.
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.
Book Synopsis Current Trends in Computer Science and Mechanical Automation Vol.1 by : Shawn X. Wang
Download or read book Current Trends in Computer Science and Mechanical Automation Vol.1 written by Shawn X. Wang and published by Walter de Gruyter GmbH & Co KG. This book was released on 2018-03-30 with total page 965 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Introduction to Symplectic and Hamiltonian Geometry by : Ana Cannas da Silva
Download or read book Introduction to Symplectic and Hamiltonian Geometry written by Ana Cannas da Silva and published by . This book was released on 2003 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Science Progress in China by : Lu Yongxiang
Download or read book Science Progress in China written by Lu Yongxiang and published by Elsevier. This book was released on 2006-04-07 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Today, China is in a critical period of development facing a series of challenges such as optimizing the economic structure, rationalizing the use of resources, protecting the ecological environment, eradicating poverty, and fostering coordinated development of the whole society. These challenges can not be comprehensively address without the integrated development of science and technology. This book takes an active part in international cooperation for promoting the development of science and technology and the progress of human civilization. In Science Progress in China Chinese scientists have outlined the development and accomplishments across a spectrum of science over the past 50 years. Scientific acheivements discussed include: the first synthesis of crystalline bovine insulin, the publication of the diagram of rice genes and much more. * Promotes the development of science and education, with emphasis placed on cultivating and nurting scientific talents * Discusses Chinese mathematics, engineering achievements, and the science and technology strategies and policies * Povides insights in the progress of crop genetics and breeding * Offers an analysis of the development of the population and the effects of reproductive medicine
