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Author  Title  Accn#  Year  Item Type  Claims 
1 
Nahin, Paul J 
The Probability Integral 
I12823 
2023 
eBook 

2 
Wessling, Bernhard 
What a Coincidence! 
I12697 
2023 
eBook 

3 
Shiraishi, Naoto 
An Introduction to Stochastic Thermodynamics 
I12641 
2023 
eBook 

4 
BenNaim, Arieh 
Information Theory and Selected Applications 
I12579 
2023 
eBook 

5 
Aguirre, Anthony 
Undecidability, Uncomputability, and Unpredictability 
I11665 
2021 
eBook 

6 
Sheldon M. Ross 
Introduction to probability models 
026874 
2019 
Book 

7 
Simon Vaughan 
Scientific Inference: Learning from Data 
026822 
2014 
Book 

8 
Douglas G. Martinson 
Quantitative methods of data analysis for the physical sciences and engineering 
026494 
2018 
Book 

9 
Hiroshi Sugita 
Probability and random number: A First Guide to Randomness 
026255 
2014 
Book 

10 
A. M. Yaglom 
Challenging mathematical problems with elementary solutions Vol.1: Combinatorial Analysis and Probability Theory 
026030 
1964 
Book 


1.


Title  The Probability Integral : Its Origin, Its Importance, and Its Calculation 
Author(s)  Nahin, Paul J 
Publication  Cham, 1. Imprint: Springer
2. Springer Nature Switzerland, 2023. 
Description  XXX, 189 p. 34 illus. in color : online resource 
Abstract Note  This book tells the story of the probability integral, the approaches to analyzing it throughout history, and the many areas of science where it arises. The socalled probability integral, the integral over the real line of a Gaussian function, occurs ubiquitously in mathematics, physics, engineering and probability theory. Stubbornly resistant to the undergraduate toolkit for handling integrals, calculating its value and investigating its properties occupied such mathematical luminaries as De Moivre, Laplace, Poisson, and Liouville. This book introduces the probability integral, puts it into a historical context, and describes the different approaches throughout history to evaluate and analyze it. The author also takes entertaining diversions into areas of math, science, and engineering where the probability integral arises: as well as being indispensable to probability theory and statistics, it also shows up naturally in thermodynamics and signal processing. Designed to be accessibleto anyone at the undergraduate level and above, this book will appeal to anyone interested in integration techniques, as well as historians of math, science, and statistics 
ISBN,Price  9783031384165 
Keyword(s)  1. EBOOK  SPRINGER
2. ENGINEERING MATHEMATICS
3. HISTORY
4. History of Mathematical Sciences
5. History of Statistics
6. Mathematical Methods in Physics
7. MATHEMATICAL PHYSICS
8. MATHEMATICS
9. Measure and Integration
10. MEASURE THEORY
11. PROBABILITIES
12. PROBABILITY THEORY
13. Statistics??

Item Type  eBook 
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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I12823 


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2.


Title  What a Coincidence! : On Unpredictability, Complexity and the Nature of Time 
Author(s)  Wessling, Bernhard 
Publication  Wiesbaden, 1. Imprint: Springer
2. Springer Fachmedien Wiesbaden, 2023. 
Description  XIX, 234 p. 47 illus., 38 illus. in color : online resource 
Abstract Note  How do chance and coincidence enter our world? And why are so many things unpredictable? Through an accessible, exciting and amusing narrative, the author takes us into the world of chemistry, quantum physics and biology. Touching on astronomy and philosophy, we witness a rewarding journey of discovery. In the process, he develops a completely new view on chance, coincidence and randomness based on the laws of nature. Here, the omnipresent nonequilibrium plays an extremely decisive role, because it generates the complex structures in our world. Finally, on this basis, he presents an equally simple and captivating hypothesis about the nature of time. This nonfiction book provides deep insight into the fascination of research, the painful search for fundamental understanding, and the struggle for scientific knowledge. The Author Dr. Bernhard Wessling is a chemist and entrepreneur. His main occupation has been chemical product and process development, including basic innovations. In addition, he conducted basic research in colloid chemistry and physics, as well as nonequilibrium thermodynamics. As a sideline, he is one of two managing partners of a large organic farm. For decades, he has been actively involved in environmental, nature and species protection on a voluntary basis and has conducted behavioral research on wild cranes for many years. The translation was done with the help of artificial intelligence. The text has subsequently been revised further by the author to ensure content correctness and by a professional english native speaker copy editor, Marc Beschler, in order to refine the translation linguistically 
ISBN,Price  9783658406714 
Keyword(s)  1. EBOOK  SPRINGER
2. Engineering Thermodynamics, Heat and Mass Transfer
3. Heat engineering
4. HEAT TRANSFER
5. MASS TRANSFER
6. PHILOSOPHY
7. Philosophy of Probability
8. PROBABILITIES
9. PROBABILITY THEORY
10. THERMODYNAMICS

Item Type  eBook 
MultiMedia Links
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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I12697 


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3.


Title  An Introduction to Stochastic Thermodynamics : From Basic to Advanced 
Author(s)  Shiraishi, Naoto 
Publication  Singapore, 1. Imprint: Springer
2. Springer Nature Singapore, 2023. 
Description  XIV, 443 p. 69 illus., 46 illus. in color : online resource 
Abstract Note  This book presents the fundamentals of stochastic thermodynamics, one of the most central subjects in nonequilibrium statistical mechanics. It also explores many recent advances, e.g., in information thermodynamics, the thermodynamic uncertainty relation, and the tradeoff relation between efficiency and power. The content is divided into three main parts, the first of which introduces readers to fundamental topics in stochastic thermodynamics, e.g., the basics of stochastic processes, the fluctuation theorem and its variants, information thermodynamics, and large deviation theory. In turn, parts two and three explore advanced topics such as autonomous engines (engines not controlled externally) and finite speed engines, while also explaining the key concepts from recent stochastic thermodynamics theory that are involved. To fully benefit from the book, readers only need an undergraduatelevel background in statistical mechanics and quantum mechanics; no backgroundin information theory or stochastic processes is needed. Accordingly, the book offers a valuable resource for early graduate or higherlevel readers who are unfamiliar with this subject but want to keep up with the cuttingedge research in this field. In addition, the author???s vivid descriptions interspersed throughout the book will help readers grasp ???living??? research developments and begin their own research in this field 
ISBN,Price  9789811981869 
Keyword(s)  1. BIOPHYSICS
2. EBOOK  SPRINGER
3. Mathematical Methods in Physics
4. MATHEMATICAL PHYSICS
5. PROBABILITIES
6. PROBABILITY THEORY
7. SPINTRONICS
8. Theoretical, Mathematical and Computational Physics
9. THERMODYNAMICS

Item Type  eBook 
MultiMedia Links
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Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I12641 


On Shelf 




5.


Title  Undecidability, Uncomputability, and Unpredictability 
Author(s)  Aguirre, Anthony;Merali, Zeeya;Sloan, David 
Publication  Cham, Springer International Publishing, 2021. 
Description  VIII, 180 p. 27 illus., 17 illus. in color : online resource 
Abstract Note  For a brief time in history, it was possible to imagine that a sufficiently advanced intellect could, given sufficient time and resources, in principle understand how to mathematically prove everything that was true. They could discern what math corresponds to physical laws, and use those laws to predict anything that happens before it happens. That time has passed. G??del???s undecidability results (the incompleteness theorems), Turing???s proof of noncomputable values, the formulation of quantum theory, chaos, and other developments over the past century have shown that there are rigorous arguments limiting what we can prove, compute, and predict. While some connections between these results have come to light, many remain obscure, and the implications are unclear. Are there, for example, real consequences for physics ??? including quantum mechanics ??? of undecidability and noncomputability? Are there implications for our understanding of the relations between agency, intelligence, mind, and the physical world? This book, based on the winning essays from the annual FQXi competition, contains ten explorations of Undecidability, Uncomputability, and Unpredictability. The contributions abound with connections, implications, and speculations while undertaking rigorous but bold and openminded investigation of the meaning of these constraints for the physical world, and for us as humans 
ISBN,Price  9783030703547 
Keyword(s)  1. Computability and Recursion Theory
2. COMPUTABLE FUNCTIONS
3. EBOOK
4. EBOOK  SPRINGER
5. Foundations of Physics and Cosmology
6. MATHEMATICAL PHYSICS
7. PHILOSOPHY OF SCIENCE
8. PROBABILITIES
9. PROBABILITY THEORY
10. RECURSION THEORY
11. SCIENCE
12. Science???Philosophy
13. Theoretical, Mathematical and Computational Physics

Item Type  eBook 
MultiMedia Links
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Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
I11665 


On Shelf 




7.


Title  Scientific Inference: Learning from Data 
Author(s)  Simon Vaughan 
Publication  Cambridge, Cambridge University Press, 2014. 
Description  xiv, 224p. 
Abstract Note  Providing the knowledge and practical experience to begin analysing scientific data, this book is ideal for physical sciences students wishing to improve their data handling skills. The book focuses on explaining and developing the practice and understanding of basic statistical analysis, concentrating on a few core ideas, such as the visual display of information, modelling using the likelihood function, and simulating random data. Key concepts are developed through a combination of graphical explanations, worked examples, example computer code and case studies using real data. Students will develop an understanding of the ideas behind statistical methods and gain experience in applying them in practice. 
ISBN,Price  9781107607590 : US $30.99(PB) 
Classification  519.23

Keyword(s)  1. PROBABILITY THEORY
2. SCIENTIFIC INFERENCE
3. STATISTICAL ANALYSIS

Item Type  Book 
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
026822 

519.23/VAU/026822 
Issued 
KS13: Saikruba Krishnan 
16/Jun/2024 

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8.


Title  Quantitative methods of data analysis for the physical sciences and engineering 
Author(s)  Douglas G. Martinson 
Publication  Cambridge, Cambridge University Press, 2018. 
Description  xiv,614p. 
Abstract Note  This book provides thorough and comprehensive coverage of most of the new and important quantitative methods of data analysis for graduate students and practitioners. In recent years, data analysis methods have exploded alongside advanced computing power, and it is critical to understand such methods to get the most out of data, and to extract signal from noise. The book excels in explaining difficult concepts through simple explanations and detailed explanatory illustrations. Most unique is the focus on confidence limits for power spectra and their proper interpretation, something rare or completely missing in other books. Likewise, there is a thorough discussion of how to assess uncertainty via use of Expectancy, and the easy to apply and understand Bootstrap method. The book is written so that descriptions of each method are as selfcontained as possible. Many examples are presented to clarify interpretations, as are user tips in highlighted boxes. 
ISBN,Price  9781107029767 : £ 49.99(HB) 
Classification  519.22/.25

Keyword(s)  1. DATA ANALYSIS
2. PROBABILITY THEORY
3. SEQUENTIAL DATA ANALYSIS
4. STATISTICS

Item Type  Book 
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
026494 

519.22/.25/MAR/026949 
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9.


Title  Probability and random number: A First Guide to Randomness 
Author(s)  Hiroshi Sugita 
Publication  Singapore, World Scientific, 2014. 
Description  xi, 125p 
Abstract Note  This is a book of elementary probability theory that includes a chapter on algorithmic randomness. It rigorously presents definitions and theorems in computation theory, and explains the meanings of the theorems by comparing them with mechanisms of the computer, which is very effective in the current computer age.
Random number topics have not been treated by any books on probability theory, only some books on computation theory. However, the notion of random number is necessary for understanding the essential relation between probability and randomness. The field of probability has changed very much, thus this book will make and leave a big impact even to expert probabilists.
Readers from applied sciences will benefit from this book because it presents a very proper foundation of the Monte Carlo method with practical solutions, keeping the technical level no higher than 1st year university calculus.

ISBN,Price  9789813228252 : 48.00 
Classification  519.21

Keyword(s)  1. COMPUTATION THEORY
2. MONTE CARLO METHODS
3. PROBABILITY THEORY
4. RANDOM NUMBERS
5. RANDOMNESS

Item Type  Book 
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
026255 

519.21/SUG/026255 
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10.
 
Title  Challenging mathematical problems with elementary solutions Vol.1: Combinatorial Analysis and Probability Theory 
Author(s)  A. M. Yaglom;I. M. Yaglom;James McCawley (tr.);Basil Gordon (ed.) 
Publication  New York, Dover Publications, Inc., 1964. 
Description  viii, 231p. 
Abstract Note  Volume One contains 100 problems, with detailed solutions, all dealing with probability theory and combinatorial analysis. Topics include the representation of integers as sums and products, combinatorial problems on the chessboard, geometric problems on combinatorial analysis, problems on the binomial coefficients, problems on computing probabilities, experiments with infinitely many possible outcomes, and experiments with a continuum of possible outcomes. 
ISBN,Price  9780486655369 : US $14.65(PB) 
Classification  51(076.2)

Keyword(s)  1. BINOMIAL COEFFICIENTS
2. COMBINATORIAL ANALYSIS
3. PROBABILITY THEORY

Item Type  Book 
Circulation Data
Accession#  
Call#  Status  Issued To  Return Due On  Physical Location 
026030 

51(076.2)/YAG/026030 
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