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Author | Title | Accn# | Year | Item Type | Claims |
| 21 |
Bonamente, Massimiliano |
Statistics and Analysis of Scientific Data |
I10326 |
2017 |
eBook |
|
| 22 |
Dapor, Maurizio |
Transport of Energetic Electrons in Solids |
I10303 |
2017 |
eBook |
|
| 23 |
Deymier, Pierre |
Multiscale Paradigms in Integrated Computational Materials Science and Engineering |
I10284 |
2016 |
eBook |
|
| 24 |
Stickler, Benjamin A |
Basic Concepts in Computational Physics |
I10279 |
2016 |
eBook |
|
| 25 |
Liseikin, Vladimir D |
Grid Generation Methods |
I10185 |
2017 |
eBook |
|
| 26 |
Scherer, Philipp O.J |
Computational Physics |
I10138 |
2017 |
eBook |
|
| 27 |
Deriglazov, Alexei |
Classical Mechanics |
I10067 |
2017 |
eBook |
|
| 28 |
Kantorovich, Lev |
Mathematics for Natural Scientists II |
I10062 |
2016 |
eBook |
|
| 29 |
Belhaq, Mohamed |
Recent Trends in Applied Nonlinear Mechanics and Physics |
I09989 |
2018 |
eBook |
|
| 30 |
Chui, Charles K |
Kalman Filtering |
I09935 |
2017 |
eBook |
|
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21.
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| Title | Statistics and Analysis of Scientific Data |
| Author(s) | Bonamente, Massimiliano |
| Publication | New York, NY, Springer New York, 2017. |
| Description | XVII, 318 p. 40 illus., 4 illus. in color : online resource |
| Abstract Note | The 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,Price | 9781493965724 |
| 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??
|
| Item Type | eBook |
Multi-Media Links
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Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I10326 |
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On Shelf |
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22.
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| Title | Transport of Energetic Electrons in Solids : Computer Simulation with Applications to Materials Analysis and Characterization |
| Author(s) | Dapor, Maurizio |
| Publication | Cham, Springer International Publishing, 2017. |
| Description | XVIII, 182 p. 58 illus : online resource |
| Abstract Note | This 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,Price | 9783319474922 |
| 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
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I10303 |
|
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On Shelf |
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23.
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| Title | Multiscale Paradigms in Integrated Computational Materials Science and Engineering : Materials Theory, Modeling, and Simulation for Predictive Design |
| Author(s) | Deymier, Pierre;Runge, Keith;Muralidharan, Krishna |
| Publication | Cham, Springer International Publishing, 2016. |
| Description | IX, 300 p : online resource |
| Abstract Note | This 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,Price | 9783319245294 |
| 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
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I10284 |
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On Shelf |
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24.
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| Title | Basic Concepts in Computational Physics |
| Author(s) | Stickler, Benjamin A;Schachinger, Ewald |
| Publication | Cham, Springer International Publishing, 2016. |
| Description | XVI, 409 p : online resource |
| Abstract Note | This 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,Price | 9783319272658 |
| 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
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I10279 |
|
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On Shelf |
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25.
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| Title | Grid Generation Methods |
| Author(s) | Liseikin, Vladimir D |
| Publication | Cham, Springer International Publishing, 2017. |
| Description | XX, 530 p. 151 illus., 14 illus. in color : online resource |
| Abstract Note | This 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,Price | 9783319578460 |
| 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
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I10185 |
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On Shelf |
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26.
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| Title | Computational Physics : Simulation of Classical and Quantum Systems |
| Author(s) | Scherer, Philipp O.J |
| Publication | Cham, Springer International Publishing, 2017. |
| Description | XXIV, 633 p. 306 illus., 50 illus. in color : online resource |
| Abstract Note | This 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,Price | 9783319610887 |
| 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
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I10138 |
|
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On Shelf |
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27.
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| Title | Classical Mechanics : Hamiltonian and Lagrangian Formalism |
| Author(s) | Deriglazov, Alexei |
| Publication | Cham, Springer International Publishing, 2017. |
| Description | XVI, 445 p. 53 illus : online resource |
| Abstract Note | The 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,Price | 9783319441474 |
| 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
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I10067 |
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On Shelf |
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28.
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| Title | Mathematics for Natural Scientists II : Advanced Methods |
| Author(s) | Kantorovich, Lev |
| Publication | Cham, Springer International Publishing, 2016. |
| Description | XVII, 675 p. 107 illus., 104 illus. in color : online resource |
| Abstract Note | This book covers the advanced mathematical techniques useful for physics and engineering students, presented in a form accessible to physics students, avoiding precise mathematical jargon and laborious proofs. Instead, all proofs are given in a simplified form that is clear and convincing for a physicist. Examples, where appropriate, are given from physics contexts. Both solved and unsolved problems are provided in each chapter. Mathematics for Natural Scientists II: Advanced Methods is the second of two volumes. It follows the first volume on Fundamentals and Basics |
| ISBN,Price | 9783319278612 |
| Keyword(s) | 1. APPLIED MATHEMATICS
2. Chemometrics
3. EBOOK
4. EBOOK - SPRINGER
5. ENGINEERING MATHEMATICS
6. Math. Applications in Chemistry
7. Mathematical and Computational Engineering
8. Mathematical Applications in the Physical Sciences
9. Mathematical Methods in Physics
10. MATHEMATICAL PHYSICS
11. Numerical and Computational Physics, Simulation
12. PHYSICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I10062 |
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On Shelf |
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29.
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| Title | Recent Trends in Applied Nonlinear Mechanics and Physics : Selected Papers from CSNDD 2016 |
| Author(s) | Belhaq, Mohamed |
| Publication | Cham, Springer International Publishing, 2018. |
| Description | XI, 278 p. 143 illus., 90 illus. in color : online resource |
| Abstract Note | This book presents contributions on the most active lines of recent advanced research in the field of nonlinear mechanics and physics selected from the 4th International Conference on Structural Nonlinear Dynamics and Diagnosis. It includes fifteen chapters by outstanding scientists, covering various aspects of applications, including road tanker dynamics and stability, simulation of abrasive wear, energy harvesting, modeling and analysis of flexoelectric nanoactuator, periodic Fermi???Pasta???Ulam problems, nonlinear stability in Hamiltonian systems, nonlinear dynamics of rotating composites, nonlinear vibrations of a shallow arch, extreme pulse dynamics in mode-locked lasers, localized structures in a photonic crystal fiber resonator, nonlinear stochastic dynamics, linearization of nonlinear resonances, treatment of a linear delay differential equation, and fractional nonlinear damping. It appeals to a wide range of experts in the field of structural nonlinear dynamics and offers researchers and engineers an introduction to the challenges posed by nonlinearities in the development of these topics |
| ISBN,Price | 9783319639376 |
| Keyword(s) | 1. Applications of Nonlinear Dynamics and Chaos Theory
2. APPLIED MATHEMATICS
3. Computational Science and Engineering
4. Computer mathematics
5. DYNAMICAL SYSTEMS
6. DYNAMICS
7. EBOOK
8. EBOOK - SPRINGER
9. ENGINEERING MATHEMATICS
10. Mathematical and Computational Engineering
11. MECHANICS
12. Mechanics, Applied
13. Solid Mechanics
14. STATISTICAL PHYSICS
15. VIBRATION
16. Vibration, Dynamical Systems, Control
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
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| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09989 |
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On Shelf |
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30.
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| Title | Kalman Filtering : with Real-Time Applications |
| Author(s) | Chui, Charles K;Chen, Guanrong |
| Publication | Cham, Springer International Publishing, 2017. |
| Description | XVIII, 247 p. 34 illus : online resource |
| Abstract Note | This new edition presents a thorough discussion of the mathematical theory and computational schemes of Kalman filtering. The filtering algorithms are derived via different approaches, including a direct method consisting of a series of elementary steps, and an indirect method based on innovation projection. Other topics include Kalman filtering for systems with correlated noise or colored noise, limiting Kalman filtering for time-invariant systems, extended Kalman filtering for nonlinear systems, interval Kalman filtering for uncertain systems, and wavelet Kalman filtering for multiresolution analysis of random signals. Most filtering algorithms are illustrated by using simplified radar tracking examples. The style of the book is informal, and the mathematics is elementary but rigorous. The text is self-contained, suitable for self-study, and accessible to all readers with a minimum knowledge of linear algebra, probability theory, and system engineering. Over 100 exercises and problems with solutions help deepen the knowledge. This new edition has a new chapter on filtering communication networks and data processing, together with new exercises and new real-time applications |
| ISBN,Price | 9783319476124 |
| Keyword(s) | 1. APPLIED MATHEMATICS
2. ARTIFICIAL INTELLIGENCE
3. Communications Engineering, Networks
4. EBOOK
5. EBOOK - SPRINGER
6. ECONOMIC THEORY
7. Economic Theory/Quantitative Economics/Mathematical Methods
8. ELECTRICAL ENGINEERING
9. ENGINEERING MATHEMATICS
10. Mathematical and Computational Engineering
11. Mathematical Methods in Physics
12. Numerical and Computational Physics, Simulation
13. PHYSICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09935 |
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On Shelf |
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