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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 |
Ben-Naim, 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 |
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1.
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| 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 so-called 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??
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| Item Type | eBook |
Multi-Media Links
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Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I12823 |
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On Shelf |
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2.
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| 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 non-equilibrium 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 non-equilibrium 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 |
Multi-Media Links
media link description
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I12697 |
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On Shelf |
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3.
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| 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 non-equilibrium statistical mechanics. It also explores many recent advances, e.g., in information thermodynamics, the thermodynamic uncertainty relation, and the trade-off 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 undergraduate-level 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 higher-level readers who are unfamiliar with this subject but want to keep up with the cutting-edge 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 |
Multi-Media Links
media link description
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I12641 |
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On Shelf |
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5.
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| 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 non-computable 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 non-computability? 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 open-minded 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 |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I11665 |
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On Shelf |
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7.
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| 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
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| Keyword(s) | 1. PROBABILITY THEORY
2. SCIENTIFIC INFERENCE
3. STATISTICAL ANALYSIS
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| Item Type | Book |
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| 026822 |
|
519.23/VAU/026822 |
Issued |
KS13: Saikruba Krishnan |
09/Nov/2024 |
|
+Copy Specific Information |
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8.
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| 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 self-contained 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 |
On Shelf |
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+Copy Specific Information |
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9.
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| 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.
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| 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 |
On Shelf |
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+Copy Specific Information |
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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 |
On Shelf |
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+Copy Specific Information | |