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Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Milstein, Grigori N |
Stochastic Numerics for Mathematical Physics |
I11924 |
2021 |
eBook |
|
| 2 |
Derbel, Nabil |
Advanced Methods for Human Biometrics |
I11791 |
2021 |
eBook |
|
| 3 |
Zelinka, Ivan |
Intelligent Astrophysics |
I11743 |
2021 |
eBook |
|
| 4 |
Vasile, Massimiliano |
Optimization Under Uncertainty with Applications to Aerospace Engineering |
I11723 |
2021 |
eBook |
|
| 5 |
Grasselli, Federico |
Quantum Cryptography |
I11706 |
2021 |
eBook |
|
| 6 |
Park, Jong Mun |
EKC 2019 Conference Proceedings |
I11601 |
2021 |
eBook |
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1.
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| Title | Stochastic Numerics for Mathematical Physics |
| Author(s) | Milstein, Grigori N;Tretyakov, Michael V |
| Publication | Cham, Springer International Publishing, 2021. |
| Description | XXV, 736 p. 33 illus : online resource |
| Abstract Note | This book is a substantially revised and expanded edition reflecting major developments in stochastic numerics since the first edition was published in 2004. The new topics, in particular, include mean-square and weak approximations in the case of nonglobally Lipschitz coefficients of Stochastic Differential Equations (SDEs) including the concept of rejecting trajectories; conditional probabilistic representations and their application to practical variance reduction using regression methods; multi-level Monte Carlo method; computing ergodic limits and additional classes of geometric integrators used in molecular dynamics; numerical methods for FBSDEs; approximation of parabolic SPDEs and nonlinear filtering problem based on the method of characteristics. SDEs have many applications in the natural sciences and in finance. Besides, the employment of probabilistic representations together with the Monte Carlo technique allows us to reduce the solution of multi-dimensional problems for partial differential equations to the integration of stochastic equations. This approach leads to powerful computational mathematics that is presented in the treatise. Many special schemes for SDEs are presented. In the second part of the book numerical methods for solving complicated problems for partial differential equations occurring in practical applications, both linear and nonlinear, are constructed. All the methods are presented with proofs and hence founded on rigorous reasoning, thus giving the book textbook potential. An overwhelming majority of the methods are accompanied by the corresponding numerical algorithms which are ready for implementation in practice. The book addresses researchers and graduate students in numerical analysis, applied probability, physics, chemistry, and engineering as well as mathematical biology and financial mathematics |
| ISBN,Price | 9783030820404 |
| Keyword(s) | 1. BIOMATHEMATICS
2. Chemometrics
3. Computational Science and Engineering
4. EBOOK
5. EBOOK - SPRINGER
6. ENGINEERING MATHEMATICS
7. Engineering???Data processing
8. Mathematical and Computational Biology
9. Mathematical and Computational Engineering Applications
10. Mathematical Applications in Chemistry
11. MATHEMATICAL PHYSICS
12. Mathematics in Business, Economics and Finance
13. Mathematics???Data processing
14. Social sciences???Mathematics
15. 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 |
| I11924 |
|
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On Shelf |
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2.
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| Title | Advanced Methods for Human Biometrics |
| Author(s) | Derbel, Nabil;Kanoun, Olfa |
| Publication | Cham, Springer International Publishing, 2021. |
| Description | X, 303 p. 169 illus., 137 illus. in color : online resource |
| Abstract Note | The book highlights recent developments in human biometrics, covering a wide range of methods based on biological signals, image processing, and measurements of human characteristics such as fingerprints and iris or medical characteristics. Human Biometrics is becoming increasingly crucial in forensics security and medicine. They provide a solid basis for identifying individuals based on unique physical characteristics or diseases based on characteristic biomedical measurements. As such, the book offers an essential reference guide about biometry methods for students, engineers, designers, and technicians. |
| ISBN,Price | 9783030819828 |
| Keyword(s) | 1. BIOPHYSICS
2. Data Engineering
3. DETECTORS
4. EBOOK
5. EBOOK - SPRINGER
6. Engineering???Data processing
7. MATERIALS
8. Senses and sensation
9. Sensors and biosensors
10. Sensory Systems
11. SIGNAL PROCESSING
12. Signal, Speech and Image Processing
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11791 |
|
|
On Shelf |
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3.
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| Title | Intelligent Astrophysics |
| Author(s) | Zelinka, Ivan;Brescia, Massimo;Baron, Dalya |
| Publication | Cham, Springer International Publishing, 2021. |
| Description | VIII, 296 p. 126 illus., 108 illus. in color : online resource |
| Abstract Note | This present book discusses the application of the methods to astrophysical data from different perspectives. In this book, the reader will encounter interesting chapters that discuss data processing and pulsars, the complexity and information content of our universe, the use of tessellation in astronomy, characterization and classification of astronomical phenomena, identification of extragalactic objects, classification of pulsars and many other interesting chapters. The authors of these chapters are experts in their field and have been carefully selected to create this book so that the authors present to the community a representative publication that shows a unique fusion of artificial intelligence and astrophysics. |
| ISBN,Price | 9783030658670 |
| Keyword(s) | 1. ASTROPHYSICS
2. Computational Intelligence
3. Data Engineering
4. EBOOK
5. EBOOK - SPRINGER
6. Engineering???Data processing
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11743 |
|
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On Shelf |
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4.
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| Title | Optimization Under Uncertainty with Applications to Aerospace Engineering |
| Author(s) | Vasile, Massimiliano |
| Publication | Cham, Springer International Publishing, 2021. |
| Description | VI, 573 p. 155 illus., 108 illus. in color : online resource |
| Abstract Note | In an expanding world with limited resources, optimization and uncertainty quantification have become a necessity when handling complex systems and processes. This book provides the foundational material necessary for those who wish to embark on advanced research at the limits of computability, collecting together lecture material from leading experts across the topics of optimization, uncertainty quantification and aerospace engineering. The aerospace sector in particular has stringent performance requirements on highly complex systems, for which solutions are expected to be optimal and reliable at the same time. The text covers a wide range of techniques and methods, from polynomial chaos expansions for uncertainty quantification to Bayesian and Imprecise Probability theories, and from Markov chains to surrogate models based on Gaussian processes. The book will serve as a valuable tool for practitioners, researchers and PhD students |
| ISBN,Price | 9783030601669 |
| Keyword(s) | 1. Aerospace engineering
2. Aerospace Technology and Astronautics
3. ASTRONAUTICS
4. ASTRONOMY
5. Astronomy, Cosmology and Space Sciences
6. Computational Science and Engineering
7. EBOOK
8. EBOOK - SPRINGER
9. ENGINEERING MATHEMATICS
10. Engineering???Data processing
11. Mathematical and Computational Engineering Applications
12. MATHEMATICAL OPTIMIZATION
13. Mathematics???Data processing
14. OPTIMIZATION
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11723 |
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On Shelf |
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6.
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| Title | EKC 2019 Conference Proceedings : Science, Technology, and Humanity: Advancement and Sustainability |
| Author(s) | Park, Jong Mun;Whang, Dong Ryeol |
| Publication | Singapore, Springer Nature Singapore, 2021. |
| Description | IX, 104 p. 48 illus., 41 illus. in color : online resource |
| Abstract Note | This volume offers a selection of papers presented at the Europe-Korea Conference on Science and Technology 2019 (EKC 2019). EKC is a multi/inter/transdisciplinary conference covering all fields of science and technology, aiming to facilitate networking and collaboration between academic and industrial researchers involved in R&D, engineering, manufacturing, and application. The scope is broad, with topics covered including physics and mathematics; chemistry, materials and chemical engineering; biology, bioengineering and medical science; Earth science and environmental engineering; architecture, civil and ocean engineering; electrical, electronic, and informational engineering; mechanical, aerospace, naval, and nuclear engineering; and social science. This book showcases a selection of peer-reviewed, high-impact research results which will be of interest to a wide audience |
| ISBN,Price | 9789811583506 |
| Keyword(s) | 1. Applied and Technical Physics
2. EBOOK
3. EBOOK - SPRINGER
4. ENGINEERING MATHEMATICS
5. Engineering???Data processing
6. HUMANITIES
7. Humanities and Social Sciences
8. Mathematical and Computational Engineering Applications
9. PHYSICS
10. RENEWABLE ENERGY
11. Renewable energy sources
12. SOCIAL SCIENCES
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11601 |
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On Shelf |
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