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1 Li, Xikui Proceedings of the 7th International Conference on Discrete Element Methods I10375 2017 eBook  
2 Steinhauser, Martin Oliver Computational Multiscale Modeling of Fluids and Solids I10369 2017 eBook  
3 Choudhury, Balamati Refined Ray Tracing inside Single- and Double-Curvatured Concave Surfaces I10350 2016 eBook  
4 Bonamente, Massimiliano Statistics and Analysis of Scientific Data I10326 2017 eBook  
5 Dapor, Maurizio Transport of Energetic Electrons in Solids I10303 2017 eBook  
6 Deymier, Pierre Multiscale Paradigms in Integrated Computational Materials Science and Engineering I10284 2016 eBook  
7 Stickler, Benjamin A Basic Concepts in Computational Physics I10279 2016 eBook  
8 Liseikin, Vladimir D Grid Generation Methods I10185 2017 eBook  
9 Scherer, Philipp O.J Computational Physics I10138 2017 eBook  
10 Deriglazov, Alexei Classical Mechanics I10067 2017 eBook  
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TitleProceedings of the 7th International Conference on Discrete Element Methods
Author(s)Li, Xikui;Feng, Yuntian;Mustoe, Graham
PublicationSingapore, 1. Imprint: Springer 2. Springer Singapore, 2017.
DescriptionXLIX, 1455 p. 966 illus : online resource
Abstract NoteThis book presents the latest advances in Discrete Element Methods (DEM) and technology. It is the proceeding of 7th International Conference on DEM which was held at Dalian University of Technology on August 1 - 4, 2016. The subject of this book are the DEM and related computational techniques such as DDA, FEM/DEM, molecular dynamics, SPH, Meshless methods, etc., which are the main computational methods for modeling discontinua. In comparison to continua which have been already studied for a long time, the research of discontinua is relatively new, but increases dramatically in recent years and has already become an important field. This book will benefit researchers and scientists from the academic fields of physics, engineering and applied mathematics, as well as from industry and national laboratories who are interested in the DEM.
ISBN,Price9789811019265
Keyword(s)1. APPLIED MATHEMATICS 2. Computer-aided engineering 3. Computer-Aided Engineering (CAD, CAE) and Design 4. EBOOK 5. EBOOK - SPRINGER 6. ENGINEERING MATHEMATICS 7. Mathematical and Computational Engineering 8. Mathematical Modeling and Industrial Mathematics 9. MATHEMATICAL MODELS 10. MECHANICS 11. Mechanics, Applied 12. Numerical and Computational Physics, Simulation 13. PHYSICS 14. Solid Mechanics
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TitleComputational Multiscale Modeling of Fluids and Solids : Theory and Applications
Author(s)Steinhauser, Martin Oliver
PublicationBerlin, Heidelberg, 1. Imprint: Springer 2. Springer Berlin Heidelberg, 2017.
DescriptionXXIII, 405 p. 139 illus., 34 illus. in color : online resource
Abstract NoteThe idea of the book is to provide a comprehensive overview of computational physics methods and techniques, that are used for materials modeling on different length and time scales. Each chapter first provides an overview of the basic physical principles which are the basis for the numerical and mathematical modeling on the respective length-scale. The book includes the micro-scale, the meso-scale and the macro-scale, and the chapters follow this classification. The book explains in detail many tricks of the trade of some of the most important methods and techniques that are used to simulate materials on the perspective levels of spatial and temporal resolution. Case studies are included to further illustrate some methods or theoretical considerations. Example applications for all techniques are provided, some of which are from the author???s own contributions to some of the research areas. The second edition has been expanded by new sections in computational models on meso/macroscopic scales for ocean and atmosphere dynamics. Numerous applications in environmental physics and geophysics had been added
ISBN,Price9783662532249
Keyword(s)1. APPLIED MATHEMATICS 2. Characterization and Evaluation of Materials 3. Computational Mathematics and Numerical Analysis 4. Computer mathematics 5. EBOOK 6. EBOOK - SPRINGER 7. ENGINEERING MATHEMATICS 8. GEOPHYSICS 9. Geophysics and Environmental Physics 10. MATERIALS SCIENCE 11. Mathematical and Computational Engineering 12. Numerical and Computational Physics, Simulation 13. PHYSICS
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TitleRefined Ray Tracing inside Single- and Double-Curvatured Concave Surfaces
Author(s)Choudhury, Balamati;Jha, Rakesh Mohan
PublicationSingapore, 1. Imprint: Springer 2. Springer Singapore, 2016.
DescriptionXXIV, 61 p. 17 illus. in color : online resource
Abstract NoteThis book describes the ray tracing effects inside different quadric surfaces. Analytical surface modeling is a priori requirement for electromagnetic (EM) analysis over aerospace platforms. Although numerically-specified surfaces and even non-uniform rational basis spline (NURBS) can be used for modeling such surfaces, for most practical EM applications, it is sufficient to model them as quadric surface patches and the hybrids thereof. It is therefore apparent that a vast majority of aerospace bodies can be conveniently modeled as combinations of simpler quadric surfaces, i.e. hybrid of quadric cylinders and quadric surfaces of revolutions. Hence the analysis of geometric ray tracing inside is prerequisite to analyzing the RF build-up. This book, describes the ray tracing effects inside different quadric surfaces such as right circular cylinder, general paraboloid of revolution (GPOR), GPOR frustum of different shaping parameters and the corresponding visualization of the ray-path details. Finally ray tracing inside a typical space module, which is a hybrid of a finite segment of right circular cylinder and a frustum of GPOR is analyzed for practical aerospace applications
ISBN,Price9789812878083
Keyword(s)1. APPLIED MATHEMATICS 2. EBOOK 3. EBOOK - SPRINGER 4. ENGINEERING MATHEMATICS 5. LASERS 6. Mathematical and Computational Engineering 7. MATHEMATICAL PHYSICS 8. Optics, Lasers, Photonics, Optical Devices 9. PHOTONICS
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TitleStatistics and Analysis of Scientific Data
Author(s)Bonamente, Massimiliano
PublicationNew York, NY, 1. Imprint: Springer 2. Springer New York, 2017.
DescriptionXVII, 318 p. 40 illus., 4 illus. in color : online resource
Abstract NoteThe revised second edition of this textbook provides the reader with a solid foundation in probability theory and statistics as applied to the physical sciences, engineering and related fields. It covers a broad range of numerical and analytical methods that are essential for the correct analysis of scientific data, including probability theory, distribution functions of statistics, fits to two-dimensional data and parameter estimation, Monte Carlo methods and Markov chains. Features new to this edition include: ??? a discussion of statistical techniques employed in business science, such as multiple regression analysis of multivariate datasets. ??? a new chapter on the various measures of the mean including logarithmic averages. ??? new chapters on systematic errors and intrinsic scatter, and on the fitting of data with bivariate errors. ??? a new case study and additional worked examples. ??? mathematical derivations and theoretical background material have been appropriately marked,to improve the readability of the text. ??? end-of-chapter summary boxes, for easy reference. As in the first edition, the main pedagogical method is a theory-then-application approach, where emphasis is placed first on a sound understanding of the underlying theory of a topic, which becomes the basis for an efficient and practical application of the material. The level is appropriate for undergraduates and beginning graduate students, and as a reference for the experienced researcher. Basic calculus is used in some of the derivations, and no previous background in probability and statistics is required. The book includes many numerical tables of data, as well as exercises and examples to aid the readers' understanding of the topic
ISBN,Price9781493965724
Keyword(s)1. APPLIED MATHEMATICS 2. COMPLEX SYSTEMS 3. DYNAMICAL SYSTEMS 4. EBOOK 5. EBOOK - SPRINGER 6. ENGINEERING MATHEMATICS 7. Mathematical and Computational Engineering 8. Mathematical Methods in Physics 9. PHYSICS 10. STATISTICAL PHYSICS 11. Statistical Physics and Dynamical Systems 12. Statistics for Business, Management, Economics, Finance, Insurance 13. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences 14. Statistics??
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TitleTransport of Energetic Electrons in Solids : Computer Simulation with Applications to Materials Analysis and Characterization
Author(s)Dapor, Maurizio
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2017.
DescriptionXVIII, 182 p. 58 illus : online resource
Abstract NoteThis new edition describes all the mechanisms of elastic and inelastic scattering of electrons with the atoms of the target as simple as possible. The use of techniques of quantum mechanics is described in detail for the investigation of interaction processes of electrons with matter. It presents the strategies of the Monte Carlo method, as well as numerous comparisons among the results of the simulations and the experimental data available in the literature. New in this edition is the description of the Mermin theory, a comparison between Mermin theory and Drude theory, a discussion about the dispersion laws, and details about the calculation of the phase shifts that are used in the relativistic partial wave expansion method. The role of secondary electrons in proton cancer therapy is discussed in the chapter devoted to applications. In this context, Monte Carlo results about the radial distribution of the energy deposited in PMMA by secondary electrons generated by energetic proton beams are presented
ISBN,Price9783319474922
Keyword(s)1. APPLIED MATHEMATICS 2. Characterization and Evaluation of Materials 3. EBOOK 4. EBOOK - SPRINGER 5. ENGINEERING MATHEMATICS 6. MATERIALS SCIENCE 7. Mathematical and Computational Engineering 8. Numerical and Computational Physics, Simulation 9. PHYSICS 10. SOLID STATE PHYSICS
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TitleMultiscale Paradigms in Integrated Computational Materials Science and Engineering : Materials Theory, Modeling, and Simulation for Predictive Design
Author(s)Deymier, Pierre;Runge, Keith;Muralidharan, Krishna
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2016.
DescriptionIX, 300 p : online resource
Abstract NoteThis book presents cutting-edge concepts, paradigms, and research highlights in the field of computational materials science and engineering, and provides a fresh, up-to-date perspective on solving present and future materials challenges. The chapters are written by not only pioneers in the fields of computational materials chemistry and materials science, but also experts in multi-scale modeling and simulation as applied to materials engineering. Pedagogical introductions to the different topics and continuity between the chapters are provided??to ensure the appeal to a broad audience and to address the applicability of integrated computational materials science and engineering for solving real-world problems
ISBN,Price9783319245294
Keyword(s)1. APPLIED MATHEMATICS 2. EBOOK 3. EBOOK - SPRINGER 4. Electronic materials 5. ENGINEERING MATHEMATICS 6. Mathematical and Computational Engineering 7. NANOTECHNOLOGY 8. Numerical and Computational Physics, Simulation 9. Optical and Electronic Materials 10. OPTICAL MATERIALS 11. PHYSICS 12. SOLID STATE PHYSICS
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TitleBasic Concepts in Computational Physics
Author(s)Stickler, Benjamin A;Schachinger, Ewald
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2016.
DescriptionXVI, 409 p : online resource
Abstract NoteThis new edition is a concise introduction to the basic methods of computational physics. Readers will discover the benefits of numerical methods for solving complex mathematical problems and for the direct simulation of physical processes. The book is divided into two main parts: Deterministic methods and stochastic methods in computational physics. Based on concrete problems, the first part discusses numerical differentiation and integration, as well as the treatment of ordinary differential equations. This is extended by a brief introduction to the numerics of partial differential equations. The second part deals with the generation of random numbers, summarizes the basics of stochastics, and subsequently introduces Monte-Carlo (MC) methods. Specific emphasis is on MARKOV chain MC algorithms. The final two chapters discuss data analysis and stochastic optimization. All this is again motivated and augmented by applications from physics. In addition, the book offers a number of appendices to provide the reader with information on topics not discussed in the main text. Numerous problems with worked-out solutions, chapter introductions and summaries, together with a clear and application-oriented style support the reader. Ready to use C++ codes are provided online
ISBN,Price9783319272658
Keyword(s)1. APPLIED MATHEMATICS 2. Chemistry, Physical and theoretical 3. Computational Mathematics and Numerical Analysis 4. Computer mathematics 5. EBOOK 6. EBOOK - SPRINGER 7. ENGINEERING MATHEMATICS 8. Mathematical and Computational Engineering 9. Numerical and Computational Physics, Simulation 10. PHYSICS 11. Theoretical and Computational Chemistry
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TitleGrid Generation Methods
Author(s)Liseikin, Vladimir D
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2017.
DescriptionXX, 530 p. 151 illus., 14 illus. in color : online resource
Abstract NoteThis new edition provides a description of current developments relating to grid methods, grid codes, and their applications to actual problems. Grid generation methods are indispensable for the numerical solution of differential equations. Adaptive grid-mapping techniques, in particular, are the main focus and represent a promising tool to deal with systems with singularities. This 3rd edition includes three new chapters on numerical implementations (10), control of grid properties (11), and applications to mechanical, fluid, and plasma related problems (13). Also the other chapters have been updated including new topics, such as curvatures of discrete surfaces (3). Concise descriptions of hybrid mesh generation, drag and sweeping methods, parallel algorithms for mesh generation have been included too. This new edition addresses a broad range of readers: students, researchers, and practitioners in applied mathematics, mechanics, engineering, physics and other areas of applications
ISBN,Price9783319578460
Keyword(s)1. APPLIED MATHEMATICS 2. Computational Science and Engineering 3. Computer mathematics 4. Computer science???Mathematics 5. EBOOK 6. EBOOK - SPRINGER 7. ENGINEERING MATHEMATICS 8. Mathematical and Computational Engineering 9. Mathematics of Computing 10. Numerical and Computational Physics, Simulation 11. PHYSICS
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TitleComputational Physics : Simulation of Classical and Quantum Systems
Author(s)Scherer, Philipp O.J
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2017.
DescriptionXXIV, 633 p. 306 illus., 50 illus. in color : online resource
Abstract NoteThis textbook presents basic numerical methods and applies them to a large variety of physical models in multiple computer experiments. Classical algorithms and more recent methods are explained. Partial differential equations are treated generally comparing important methods, and equations of motion are solved by a large number of simple as well as more sophisticated methods. Several modern algorithms for quantum wavepacket motion are compared. The first part of the book discusses the basic numerical methods, while the second part simulates classical and quantum systems. Simple but non-trivial examples from a broad range of physical topics offer readers insights into the numerical treatment but also the simulated problems. Rotational motion is studied in detail, as are simple quantum systems. A two-level system in an external field demonstrates elementary principles from quantum optics and simulation of a quantum bit. Principles of molecular dynamics are shown. Modern bounda ry element methods are presented in addition to standard methods, and waves and diffusion processes are simulated comparing the stability and efficiency of different methods. A large number of computer experiments is provided, which can be tried out even by readers with no programming skills. Exercises in the applets complete the pedagogical treatment in the book. In the third edition Monte Carlo methods and random number generation have been updated taking recent developments into account. Krylov-space methods for eigenvalue problems are discussed in much more detail. The wavelet transformation method has been included as well as simple applications to continuum mechanics and convection-diffusion problems. Lastly, elementary quantum many-body problems demonstrate the application of variational and Monte-Carlo methods.??
ISBN,Price9783319610887
Keyword(s)1. APPLIED MATHEMATICS 2. Chemistry, Physical and theoretical 3. EBOOK 4. EBOOK - SPRINGER 5. ENGINEERING MATHEMATICS 6. Mathematical and Computational Engineering 7. Mathematical Applications in the Physical Sciences 8. MATHEMATICAL PHYSICS 9. Numerical and Computational Physics, Simulation 10. PHYSICS 11. Theoretical and Computational Chemistry
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TitleClassical Mechanics : Hamiltonian and Lagrangian Formalism
Author(s)Deriglazov, Alexei
PublicationCham, 1. Imprint: Springer 2. Springer International Publishing, 2017.
DescriptionXVI, 445 p. 53 illus : online resource
Abstract NoteThe revised edition of this advanced text provides the reader with a solid grounding in the formalism of classical mechanics, underlying a number of powerful mathematical methods that are widely used in modern theoretical and mathematical physics. It reviews the fundamentals of Lagrangian and Hamiltonian mechanics, and goes on to cover related topics such as canonical transformations, integral invariants, potential motion in geometric setting, symmetries, the Noether theorem and systems with constraints. While in some cases the formalism is developed beyond the traditional level adopted in the standard textbooks on classical mechanics, only elementary mathematical methods are used in the exposition of the material. New material for the revised edition includes additional sections on the Euler-Lagrange equation, the Cartan two-form in Lagrangian theory, and Newtonian equations of motion in context of general relativity. Also new for this edition is the inclusion of problem sets and solutions to aid in the understanding of the material presented. The mathematical constructions involved are explicitly described and explained, so the book is a good starting point for the student new to this field. Where possible, intuitive motivations are replaced by explicit proofs and direct computations, preserving the level of rigor that makes the book useful for more advanced students intending to work in one of the branches of the vast field of theoretical physics. To illustrate how classical-mechanics formalism works in other branches of theoretical physics, examples related to electrodynamics, as well as to relativistic and quantum mechanics, are included
ISBN,Price9783319441474
Keyword(s)1. Applications of Mathematics 2. APPLIED MATHEMATICS 3. CLASSICAL MECHANICS 4. EBOOK 5. EBOOK - SPRINGER 6. ENGINEERING MATHEMATICS 7. Mathematical and Computational Engineering 8. MATHEMATICAL PHYSICS 9. MECHANICS 10. Mechanics, Applied 11. Solid Mechanics 12. Theoretical, Mathematical and Computational Physics
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