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# 
Author  Title  Accn#  Year  Item Type  Claims 
1 
Barthelemy, Marc 
Spatial Networks 
I12505 
2022 
Book 

2 
Cacuci, Dan Gabriel 
The nthOrder Comprehensive Adjoint Sensitivity Analysis Methodology, Volume I 
I12435 
2022 
Book 

3 
Bonamente, Massimiliano 
Statistics and Analysis of Scientific Data 
I12430 
2022 
Book 

4 
Mustapha, Aida Binti 
Proceedings of the 7th International Conference on the Applications of Science and Mathematics 2021 
I12419 
2022 
Book 

5 
Borda, Monica 
Randomness and Elements of Decision Theory Applied to Signals 
I11928 
2021 
eBook 

6 
Baum, Scott 
Methods in Urban Analysis 
I11821 
2021 
eBook 

7 
Akmaykin, Denis Alexandrovich 
Theoretical Foundations of Radar Location and Radio Navigation 
I11794 
2021 
eBook 

8 
Nielsen, Frank 
Progress in Information Geometry 
I11629 
2021 
eBook 

9 
Bonamente, Massimiliano 
Statistics and Analysis of Scientific Data 
I10326 
2017 
eBook 

10 
Ma??a, Carlos 
Probability and Statistics for Particle Physics 
I10178 
2017 
eBook 


1.


Title  Spatial Networks : A Complete Introduction: From Graph Theory and Statistical Physics to RealWorld Applications 
Author(s)  Barthelemy, Marc 
Publication  Cham, 1. Imprint: Springer
2. Springer International Publishing, 2022. 
Description  XIX, 437 p. 241 illus., 157 illus. in color : online resource 
Abstract Note  This book provides a complete introduction into spatial networks. It offers the mathematical tools needed to characterize these structures and how they evolve in time and presents the most important models of spatial networks. The book puts a special emphasis on analyzing complex systems which are organized under the form of networks where nodes and edges are embedded in space. In these networks, space is relevant, and topology alone does not contain all the information. Characterizing and understanding the structure and the evolution of spatial networks is thus crucial for many different fields, ranging from urbanism to epidemiology. This subject is therefore at the crossroad of many fields and is of potential interest to a broad audience comprising physicists, mathematicians, engineers, geographers or urbanists. In this book, the author has expanded his previous book ("Morphogenesis of Spatial Networks") to serve as a textbook and reference on this topic for a wide range of students and professional researchers 
ISBN,Price  9783030941062 
Keyword(s)  1. Applied Statistics
2. EBOOK
3. EBOOK  SPRINGER
4. GRAPH THEORY
5. STATISTICAL PHYSICS
6. Statistics??

Item Type  Book 
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Call#  Status  Issued To  Return Due On  Physical Location 
I12505 


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2.


Title  The nthOrder Comprehensive Adjoint Sensitivity Analysis Methodology, Volume I : Overcoming the Curse of Dimensionality: Linear Systems 
Author(s)  Cacuci, Dan Gabriel 
Publication  Cham, 1. Imprint: Springer
2. Springer International Publishing, 2022. 
Description  XII, 362 p : online resource 
Abstract Note  The computational models of physical systems comprise parameters, independent and dependent variables. Since the physical processes themselves are seldom known precisely and since most of the model parameters stem from experimental procedures which are also subject to imprecisions, the results predicted by these models are also imprecise, being affected by the uncertainties underlying the respective model. The functional derivatives (also called ???sensitivities???) of results (also called ???responses???) produced by mathematical/computational models are needed for many purposes, including: (i) understanding the model by ranking the importance of the various model parameters; (ii) performing ???reducedorder modeling??? by eliminating unimportant parameters and/or processes; (iii) quantifying the uncertainties induced in a model response due to model parameter uncertainties; (iv) performing ???model validation,??? by comparing computations to experiments to address the question ???does the model represent reality???? (v) prioritizing improvements in the model; (vi) performing data assimilation and model calibration as part of forward ???predictive modeling??? to obtain bestestimate predicted results with reduced predicted uncertainties; (vii) performing inverse ???predictive modeling???; (viii) designing and optimizing the system. This 3Volume monograph describes a comprehensive adjoint sensitivity analysis methodology, developed by the author, which enables the efficient and exact computation of arbitrarily highorder sensitivities of model responses in largescale systems comprising many model parameters. The qualifier ???comprehensive??? is employed to highlight that the model parameters considered within the framework of this methodology also include the system???s uncertain boundaries and internal interfaces in phasespace. The model???s responses can be either scalarvalued functionals of the model???s parameters and state variables (e.g., as customarily encountered in optimization problems) or general functionvalued responses. Since linear operators admit bonafide adjoint operators, responses of models that are linear in the state functions (i.e., dependent variables) can depend simultaneously on both the forward and the adjoint state functions. Hence, the sensitivity analysis of such responses warrants the treatment of linear systems in their own right, rather than treating them as particular cases of nonlinear systems. This is in contradistinction to responses for nonlinear systems, which can depend only on the forward state functions, since nonlinear operators do not admit bonafide adjoint operators (only a linearized form of a nonlinear operator may admit an adjoint operator). Thus, Volume 1 of this book presents the mathematical framework of the nthOrder Comprehensive Adjoint Sensitivity Analysis Methodology for ResponseCoupled Forward/Adjoint Linear Systems (abbreviated as ???nthCASAML???), which is conceived for the most efficient computation of exactly obtained mathematical expressions of arbitrarilyhighorder (nthorder) sensitivities of a generic system response with respect to all of the parameters underlying the respective forward/adjoint systems. Volume 2 of this book presents the application of the nthCASAML to perform a fourthorder sensitivity and uncertainty analysis of an OECD/NEA reactor physics benchmark which is representative of a largescale model comprises many (21,976) uncertain parameters, thereby amply illustrating the unique potential of the nthCASAML to enable the exact and efficient computation of chosen highorder response sensitivities to model parameters. Volume 3 of this book presents the ???nthOrder Comprehensive Adjoint Sensitivity Analysis Methodology for Nonlinear Systems??? (abbreviation: nthCASAMN) for the practical, efficient, and exact computation of arbitrarilyhigh order sensitivities of responses to model parameters for systems that are also nonlinear in their underlying state functions. Such computations are not feasible with any other methodology. The application of the nthCASAML and the nthCASAMN overcomes the socalled ???curse of dimensionality??? in sensitivity and uncertainty analysis, thus revolutionizing all of the fields of activities which require accurate computation of response sensitivities. Since this monograph includes many illustrative, fully workedout, paradigm problems, it can serve as a textbook or as supplementary reading for graduate courses in academic departments in the natural sciences and engineering 
ISBN,Price  9783030963644 
Keyword(s)  1. Computational Physics and Simulations
2. COMPUTER SIMULATION
3. EBOOK
4. EBOOK  SPRINGER
5. Energy and state
6. Energy policy
7. Energy Policy, Economics and Management
8. ENGINEERING MATHEMATICS
9. Engineering???Data processing
10. Mathematical and Computational Engineering Applications
11. Mathematical Modeling and Industrial Mathematics
12. MATHEMATICAL MODELS
13. MATHEMATICAL PHYSICS
14. NUCLEAR PHYSICS
15. Statistical Theory and Methods
16. Statistics??

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Call#  Status  Issued To  Return Due On  Physical Location 
I12435 


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3.


Title  Statistics and Analysis of Scientific Data 
Author(s)  Bonamente, Massimiliano 
Publication  Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2022. 
Description  XXIII, 488 p. 58 illus., 48 illus. in color : online resource 
Abstract Note  This book is the third edition of a successful textbook for upperundergraduate and early graduate students, which offers a solid foundation in probability theory and statistics and their application to physical sciences, engineering, biomedical sciences and related disciplines. It provides broad coverage ranging from conventional textbook content of probability theory, random variables, and their statistics, regression, and parameter estimation, to modern methods including MonteCarlo Markov chains, resampling methods and lowcount statistics. In addition to minor corrections and adjusting structure of the content, particular features in this new edition include: Python codes and machinereadable data for all examples, classic experiments, and exercises, which are now more accessible to students and instructors New chapters on lowcount statistics including the Poissonbased Cash statistic for regression in the lowcount regime, and on contingency tables and diagnostic testing. An additional example of classic experiments based on testing data for SARSCOV2 to demonstrate practical applications of the described statistical methods. This edition inherits the main pedagogical method of earlier versions???a theorythenapplication 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 materials. 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  9789811903656 
Keyword(s)  1. Applied Statistics
2. Data Analysis and Big Data
3. EBOOK
4. EBOOK  SPRINGER
5. ENGINEERING MATHEMATICS
6. Engineering???Data processing
7. Mathematical and Computational Engineering Applications
8. Mathematical Methods in Physics
9. MATHEMATICAL PHYSICS
10. Mathematical statistics???Data processing
11. Quantitative research
12. Statistical Theory and Methods
13. Statistics and Computing
14. Statistics??

Item Type  Book 
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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I12430 


On Shelf 




4.


Title  Proceedings of the 7th International Conference on the Applications of Science and Mathematics 2021 : Sciemathic 2021 
Author(s)  Mustapha, Aida Binti;Shamsuddin, Suhadir;Zuhaib Haider Rizvi, Syed;Asman, Saliza Binti;Jamaian, Siti Suhana 
Publication  Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2022. 
Description  XXVI, 464 p. 212 illus., 167 illus. in color : online resource 
Abstract Note  This book presents peerreviewed articles and recent advances on the potential applications of Science and Mathematics for future technologies, from the 7th International Conference on the Applications of Science and Mathematics (SCIEMATHIC 2021), held in Malaysia. It provides an insight about the leading trends in sustainable Science and Technology. The world is looking for sustainable solutions to problems more than ever. The synergistic approach of mathematicians, scientists and engineers has undeniable importance for future technologies. With this viewpoint, SCIEMATHIC 2021 has the theme ???Quest for Sustainable Science and Mathematics for Future Technologies???. The conference brings together physicists, mathematicians, statisticians and data scientists, providing a platform to find sustainable solutions to major problems around us. The works presented here are suitable for professionals and researchers globally in making the world a better and sustainable place 
ISBN,Price  9789811689031 
Keyword(s)  1. Chemistry, Physical and theoretical
2. EBOOK
3. EBOOK  SPRINGER
4. MATERIALS SCIENCE
5. Mathematical Modeling and Industrial Mathematics
6. MATHEMATICAL MODELS
7. MATHEMATICAL PHYSICS
8. Statistical Theory and Methods
9. Statistics??
10. Sustainability
11. THEORETICAL CHEMISTRY

Item Type  Book 
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Call#  Status  Issued To  Return Due On  Physical Location 
I12419 


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5.


Title  Randomness and Elements of Decision Theory Applied to Signals 
Author(s)  Borda, Monica;Terebes, Romulus;Malutan, Raul;Ilea, Ioana;Cislariu, Mihaela;Miclea, Andreia;Barburiceanu, Stefania 
Publication  Cham, Springer International Publishing, 2021. 
Description  XVII, 242 p. 254 illus., 168 illus. in color : online resource 
Abstract Note  This book offers an overview on the main modern important topics in random variables, random processes, and decision theory for solving realworld problems. After an introduction to concepts of statistics and signals, the book introduces many essential applications to signal processing like denoising, texture classification, histogram equalization, deep learning, or feature extraction. The book uses MATLAB algorithms to demonstrate the implementation of the theory to real systems. This makes the contents of the book relevant to students and professionals who need a quick introduction but practical introduction how to deal with random signals and processes 
ISBN,Price  9783030903145 
Keyword(s)  1. Computer science???Mathematics
2. EBOOK
3. EBOOK  SPRINGER
4. MATHEMATICAL STATISTICS
5. OPERATIONS RESEARCH
6. Operations Research and Decision Theory
7. Probability and Statistics in Computer Science
8. SIGNAL PROCESSING
9. Signal, Speech and Image Processing
10. Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
11. Statistics??

Item Type  eBook 
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Call#  Status  Issued To  Return Due On  Physical Location 
I11928 


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6.


Title  Methods in Urban Analysis 
Author(s)  Baum, Scott 
Publication  Singapore, Springer Nature Singapore, 2021. 
Description  VII, 205 p. 23 illus., 16 illus. in color : online resource 
Abstract Note  This book highlights major quantitative and qualitative methods and approaches used in the field of urban analysis. The respective chapters cover the background and relevance of various approaches to urban studies and offer guidance on implementing specific methodologies. Each chapter also provides links to realworld examples. The book is unique in its focus on Australian examples and subject matter, presented by recognized experts in the field. 
ISBN,Price  9789811616778 
Keyword(s)  1. COMPLEX SYSTEMS
2. EBOOK
3. EBOOK  SPRINGER
4. Environmental sciences???Mathematics
5. Human geography
6. Mathematical Applications in Environmental Science
7. Sociology, Urban
8. Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
9. Statistics??
10. SYSTEM THEORY
11. Urban economics
12. Urban Sociology

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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I11821 


On Shelf 




7.


Title  Theoretical Foundations of Radar Location and Radio Navigation 
Author(s)  Akmaykin, Denis Alexandrovich;Bolelov, Eduard Anatolyevich;Kozlov, Anatoliy Ivanovich;Lezhankin, Boris Valentinovich;Svistunov, Alexander Evgenievich;Shatrakov, Yury Grigorievich 
Publication  Singapore, Springer Nature Singapore, 2021. 
Description  XVII, 325 p. 213 illus., 38 illus. in color : online resource 
Abstract Note  The book represents a study guide reciting theoretical basics of radar location and radio navigation systems of air and sea transport. This is the distinctive feature of this study guide. The study guide states the principal physics of radar location and radio navigation, main measuring methods of proper and relative movement parameters of an object, tactical and technical characteristics of radar location and radio navigation systems, including examining issues on radiofrequency signals detection and its parameters estimation against background and interference of different type, filtering, combined detection and rating of signals, signals resolution and classification. The structural and functioning principles of the current and advanced radar location and radio navigation systems of air and sea transport are represented in the study guide with an adequate completeness. The study guide features the result of years long lecturing on radar location and radio navigation theoretical courses at the Moscow State Technical University of Civil Aviation and G.I.Nevelskiy Maritime State Technical Academy. The study guide is designated for students of radioengineering specialties in area of air and sea transport. The study guide can be useful for radio engineers working in the field of air and maritime transport, and for graduate students and academic researchers as well 
ISBN,Price  9789813365148 
Keyword(s)  1. Aerospace engineering
2. Aerospace Technology and Astronautics
3. ASTRONAUTICS
4. CLASSICAL ELECTRODYNAMICS
5. EBOOK
6. EBOOK  SPRINGER
7. ELECTRODYNAMICS
8. Security Science and Technology
9. Security systems
10. SIGNAL PROCESSING
11. Signal, Speech and Image Processing
12. Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
13. Statistics??

Item Type  eBook 
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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I11794 


On Shelf 




8.


Title  Progress in Information Geometry : Theory and Applications 
Author(s)  Nielsen, Frank 
Publication  Cham, Springer International Publishing, 2021. 
Description  XII, 274 p. 105 illus., 35 illus. in color : online resource 
Abstract Note  This book focuses on informationgeometric manifolds of structured data and models and related applied mathematics. It features new and fruitful interactions between several branches of science: Advanced Signal/Image/Video Processing, Complex Data Modeling and Analysis, Statistics on Manifolds, Topology/Machine/Deep Learning and Artificial Intelligence. The selection of applications makes the book a substantial information source, not only for academic scientist but it is also highly relevant for industry. The book project was initiated following discussions at the international conference GSI???2019 ??? Geometric Science of Information that was held at ENAC, Toulouse (France) 
ISBN,Price  9783030654597 
Keyword(s)  1. Coding and Information Theory
2. CODING THEORY
3. Communications Engineering, Networks
4. COMPLEX SYSTEMS
5. EBOOK
6. EBOOK  SPRINGER
7. GLOBAL ANALYSIS (MATHEMATICS)
8. Global Analysis and Analysis on Manifolds
9. INFORMATION THEORY
10. Manifolds (Mathematics)
11. SIGNAL PROCESSING
12. Signal, Speech and Image Processing
13. Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
14. Statistics??
15. SYSTEM THEORY
16. TELECOMMUNICATION

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Call#  Status  Issued To  Return Due On  Physical Location 
I11629 


On Shelf 




9.


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 twodimensional 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. ??? endofchapter summary boxes, for easy reference. As in the first edition, the main pedagogical method is a theorythenapplication 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??

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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I10326 


On Shelf 




10.
 
Title  Probability and Statistics for Particle Physics 
Author(s)  Ma??a, Carlos 
Publication  Cham, Springer International Publishing, 2017. 
Description  X, 244 p. 27 illus., 11 illus. in color : online resource 
Abstract Note  This book comprehensively presents the basic concepts of probability and Bayesian inference with sufficient generality to make them applicable to current problems in scientific research. The first chapter provides the fundamentals of probability theory that are essential for the analysis of random phenomena. The second chapter includes a full and pragmatic review of the Bayesian methods that constitute a natural and coherent framework with enough freedom to analyze all the information available from experimental data in a conceptually simple manner. The third chapter presents the basic Monte Carlo techniques used in scientific research, allowing a large variety of problems to be handled difficult to tackle by other procedures. The author also introduces a basic algorithm, which enables readers to simulate samples from simple distribution, and describes useful cases for researchers in particle physics.The final chapter is devoted to the basic ideas of Information Theory, which are important in the Bayesian methodology. This highly readable book is appropriate for graduatelevel courses, while at the same time being useful for scientific researches in general and for physicists in particular since most of the examples are from the field of Particle Physics. 
ISBN,Price  9783319557380 
Keyword(s)  1. EBOOK
2. EBOOK  SPRINGER
3. Mathematical Methods in Physics
4. NUCLEAR PHYSICS
5. Particle and Nuclear Physics
6. PHYSICS
7. Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
8. Statistics??

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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I10178 


On Shelf 



 