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Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Aguirre, Anthony |
Undecidability, Uncomputability, and Unpredictability |
I11665 |
2021 |
eBook |
|
| 2 |
Sheldon M. Ross |
Introduction to probability models |
026874 |
2019 |
Book |
|
| 3 |
Simon Vaughan |
Scientific Inference: Learning from Data |
026822 |
2014 |
Book |
|
| 4 |
Douglas G. Martinson |
Quantitative methods of data analysis for the physical sciences and engineering |
026494 |
2018 |
Book |
|
| 5 |
Hiroshi Sugita |
Probability and random number: A First Guide to Randomness |
026255 |
2014 |
Book |
|
| 6 |
A. M. Yaglom |
Challenging mathematical problems with elementary solutions Vol.1: Combinatorial Analysis and Probability Theory |
026030 |
1964 |
Book |
|
| 7 |
Wayne C. Myrvold (ed.) |
Quantum reality, relativistic causality, and closing the epistemic circle: Essays in Honour of Abner Shimony |
023582 |
2009 |
Book |
|
| 8 |
David Stirzaker |
Probability and random variables: A beginner's guide |
023086 |
1999 |
Book |
|
| 9 |
A. A. Sveshnikov (ed.) |
Problems in probability theory, mathematical statistics and theory of random functions |
022611 |
1968 |
Book |
|
| 10 |
E.T. Jaynes |
Probability theory : The logic of science |
019356 |
2003 |
Book |
|
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|
1.
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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 |
|
|
On Shelf |
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3.
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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
|
| 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/May/2024 |
|
+Copy Specific Information |
|
4.
|
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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 |
|
5.
|
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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.
|
| 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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6.
|
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| 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 |
|
7.
|
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| Title | Quantum reality, relativistic causality, and closing the epistemic circle: Essays in Honour of Abner Shimony |
| Author(s) | Wayne C. Myrvold (ed.);Joy Christian (ed.) |
| Publication | Dordrecht, Springer, 2009. |
| Description | xi, 516p. |
| Series | (The Western Ontario Series in Philosophy of Scince) |
| Abstract Note | This book collects twenty-three original essays stemming from the conference, on topics including history and methodology of science, Bell's theorem, probability theory, the uncertainty principle, stochastic modifications of quantum mechanics, and relativity theory. It ends with a transcript of a fascinating discussion between Lee Smolin and Shimony, ranging over the entire spectrum of Shimony's wide-ranging contributions to philosophy, science, and philosophy of science. |
| ISBN,Price | 9781402091063 : Eur 129.95(HB) |
| Classification | 530.145.6(069)
|
| Keyword(s) | 1. BELL'S THEOREM
2. FESTSCHRIFT - ABNER SHIMONY
3. HISTORY OF SCIENCE
4. PHILOSOPHY OF SCIENCE
5. PROBABILITY THEORY
6. RELATIVITY THEORY
7. SHIMONY, ABNER - FESTSCHRIFT
8. STOCHASTIC MODIFICATIONS
9. UNCERTAINTY PRINCIPLE
|
| Item Type | Book |
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| 023582 |
|
530.145.6(069)/MYR/023582 |
On Shelf |
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+Copy Specific Information |
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8.
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| Title | Probability and random variables: A beginner's guide |
| Author(s) | David Stirzaker |
| Publication | Cambridge, Cambridge University Press, 1999. |
| Description | xii, 369p. |
| Abstract Note | his is a simple and concise introduction to probability theory. Self-contained and readily accessible, it is written in an informal tutorial style with concepts and techniques defined and developed as necessary. After an elementary discussion of chance, the central and crucial rules and ideas of probability including independence and conditioning are set out. Examples, demonstrations, and exercises are used throughout to explore the ways in which probability is motivated by, and applied to, real life problems in science, medicine, gaming and other subjects of interest. This book is suitable for students taking introductory courses in probability and will provide a solid foundation for more advanced courses in probability and statistics. It would also be a valuable reference to those needing a working knowledge of probability theory and will appeal to anyone interested in this endlessly fascinating and entertaining subject. |
| ISBN,Price | 9780521644453 : UKP 26.99(PB) |
| Classification | 519.219
|
| Keyword(s) | 1. PROBABILITY THEORY
2. RANDOM VARIABLES
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| Item Type | Book |
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| 023086 |
|
519.219/STI/023086 |
On Shelf |
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+Copy Specific Information | |