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Author | Title | Accn# | Year | Item Type | Claims |
| 51 |
Schroeder, Manfred |
Number Theory in Science and Communication |
I02775 |
1997 |
eBook |
|
| 52 |
Ingarden, Roman S |
Information Dynamics and Open Systems |
I02598 |
1997 |
eBook |
|
| 53 |
Grassberger, P |
From Statistical Physics to Statistical Inference and Back |
I02364 |
1994 |
eBook |
|
| 54 |
Ruymgaart, Peter A |
Mathematics of Kalman-Bucy Filtering |
I01720 |
1988 |
eBook |
|
| 55 |
Schroeder, Manfred R |
Number Theory in Science and Communication |
I01692 |
1984 |
eBook |
|
| 56 |
Jumarie, Guy |
Relative Information |
I01252 |
1990 |
eBook |
|
| 57 |
Erickson, G |
Maximum Entropy and Bayesian Methods |
I01159 |
1998 |
eBook |
|
| 58 |
Linden, Wolfgang von der |
Maximum Entropy and Bayesian Methods Garching, Germany 1998 |
I00257 |
1999 |
eBook |
|
| 59 |
Jeffrey Bub |
Bananaworld |
OB1150 |
|
eBook |
|
| 60 |
Darrel Hankerson |
Introduction to information theory and data compression |
026020 |
2013 |
Book |
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51.
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| Title | Number Theory in Science and Communication : With Applications in Cryptography, Physics, Digital Information, Computing, and Self-Similarity |
| Author(s) | Schroeder, Manfred |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1997. |
| Description | XXII, 364 p : online resource |
| Abstract Note | Number Theory in Science and Communication is an introduction for non-mathematicians. The book stresses intuitive understanding rather than abstract theory and highlights important concepts such as continued fractions, the golden ratio, quadratic residues and Chinese remainders, trapdoor functions, pseudoprimes and primituve elements. Their applications to problems in the real world is one of the main themes of the book. This third edition is augmented by recent advances in primes in progressions, twin primes, prime triplets, prime quadruplets and quintruplets, factoring with elliptic curves, quantum factoring, Golomb rulers and "baroque" integers |
| ISBN,Price | 9783662034309 |
| Keyword(s) | 1. Coding and Information Theory
2. CODING THEORY
3. EBOOK
4. EBOOK - SPRINGER
5. INFORMATION THEORY
6. Mathematical Methods in Physics
7. NUMBER THEORY
8. Numerical and Computational Physics, Simulation
9. PHYSICS
10. PROBABILITIES
11. Probability Theory and Stochastic Processes
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I02775 |
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On Shelf |
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52.
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| Title | Information Dynamics and Open Systems : Classical and Quantum Approach |
| Author(s) | Ingarden, Roman S;Kossakowski, A;Ohya, M |
| Publication | Dordrecht, Springer Netherlands, 1997. |
| Description | X, 310 p : online resource |
| Abstract Note | This book has a long history of more than 20 years. The first attempt to write a monograph on information-theoretic approach to thermodynamics was done by one of the authors (RSI) in 1974 when he published, in the preprint form, two volumes of the book "Information Theory and Thermodynamics" concerning classical and quantum information theory, [153] (220 pp.), [154] (185 pp.). In spite of the encouraging remarks by some of the readers, the physical part of this book was never written except for the first chapter. Now this material is written completely anew and in much greater extent. A few years earlier, in 1970, second author of the present book, (AK), a doctoral student and collaborator of RSI in Toruli, published in Polish, also as a preprint, his habilitation dissertation "Information-theoretical decision scheme in quantum statistical mechanics" [196] (96 pp.). This small monograph presented his original results in the physical part of the theory developed in the Torun school. Unfortunately, this preprint was never published in English. The present book contains all these results in a much more modern and developed form |
| ISBN,Price | 9789401718820 |
| Keyword(s) | 1. Coding and Information Theory
2. CODING THEORY
3. COMPLEX SYSTEMS
4. DYNAMICAL SYSTEMS
5. EBOOK
6. EBOOK - SPRINGER
7. Information and Communication, Circuits
8. INFORMATION THEORY
9. MATHEMATICAL PHYSICS
10. PHYSICAL CHEMISTRY
11. QUANTUM PHYSICS
12. STATISTICAL PHYSICS
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 |
| I02598 |
|
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On Shelf |
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53.
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| Title | From Statistical Physics to Statistical Inference and Back |
| Author(s) | Grassberger, P;Nadal, J.P |
| Publication | Dordrecht, Springer Netherlands, 1994. |
| Description | VIII, 355 p : online resource |
| Abstract Note | Physicists, when modelling physical systems with a large number of degrees of freedom, and statisticians, when performing data analysis, have developed their own concepts and methods for making the `best' inference. But are these methods equivalent, or not? What is the state of the art in making inferences? The physicists want answers. More: neural computation demands a clearer understanding of how neural systems make inferences; the theory of chaotic nonlinear systems as applied to time series analysis could profit from the experience already booked by the statisticians; and finally, there is a long-standing conjecture that some of the puzzles of quantum mechanics are due to our incomplete understanding of how we make inferences. Matter enough to stimulate the writing of such a book as the present one. But other considerations also arise, such as the maximum entropy method and Bayesian inference, information theory and the minimum description length. Finally, it is pointed out that an understanding of human inference may require input from psychologists. This lively debate, which is of acute current interest, is well summarized in the present work |
| ISBN,Price | 9789401110686 |
| Keyword(s) | 1. ARTIFICIAL INTELLIGENCE
2. Coding and Information Theory
3. CODING THEORY
4. COMPLEX SYSTEMS
5. DYNAMICAL SYSTEMS
6. EBOOK
7. EBOOK - SPRINGER
8. INFORMATION THEORY
9. STATISTICAL PHYSICS
10. Statistical Physics and Dynamical Systems
11. THERMODYNAMICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I02364 |
|
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On Shelf |
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54.
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| Title | Mathematics of Kalman-Bucy Filtering |
| Author(s) | Ruymgaart, Peter A;Soong, Tsu T |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1988. |
| Description | XII, 170 p : online resource |
| Abstract Note | The second edition has not deviated significantly from the first. The printing of this edition, however, has allowed us to make a number of corrections which escaped our scrutiny at the time of the first printing, and to generally improve and tighten our presentation of the material. Many of these changes were suggested to us by colleagues and readers and their kindness in doing so is greatly appreciated. Delft, The Netherlands and P. A. Ruymgaart Buffalo, New York, December, 1987 T. T. Soong Preface to the First Edition Since their introduction in the mid 1950s, the filtering techniques developed by Kalman, and by Kalman and Bucy have been widely known and widely used in all areas of applied sciences. Starting with applications in aerospace engineering, their impact has been felt not only in all areas of engineering but as all also in the social sciences, biological sciences, medical sciences, as well other physical sciences. Despite all the good that has come out of this devel?? opment, however, there have been misuses because the theory has been used mainly as a tool or a procedure by many applied workers without fully understanding its underlying mathematical workings. This book addresses a mathematical approach to Kalman-Bucy filtering and is an outgrowth of lectures given at our institutions since 1971 in a sequence of courses devoted to Kalman-Bucy filters |
| ISBN,Price | 9783642733413 |
| Keyword(s) | 1. ANALYSIS
2. Analysis (Mathematics)
3. Coding and Information Theory
4. CODING THEORY
5. EBOOK
6. EBOOK - SPRINGER
7. INFORMATION THEORY
8. MATHEMATICAL ANALYSIS
9. PROBABILITIES
10. Probability Theory and Stochastic Processes
11. Statistics, general
12. Statistics??
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I01720 |
|
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On Shelf |
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55.
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| Title | Number Theory in Science and Communication : With Applications in Cryptography, Physics, Biology, Digital Information, and Computing |
| Author(s) | Schroeder, Manfred R |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1984. |
| Description | XVI, 326 p : online resource |
| Abstract Note | "Beauty is the first test: there is no permanent place in the world for ugly mathematics. " - G. H. Hardy N umber theory has been considered since time immemorial to be the very paradigm of pure (some would say useless) mathematics. In fact, the Chinese characters for mathematics are Number Science. "Mathematics is the queen of sciences - and number theory is the queen of mathematics," according to Carl Friedrich Gauss, the lifelong Wunderkind, who hirnself enjoyed the epithet "Princeps Mathematicorum. " What could be more beautiful than a deep, satisfying relation between whole numbers. {One is almost tempted to call them wholesome numbersJ In fact, it is hard to come up with a more appropriate designation than their learned name: the integers - meaning the "untouched ones". How high they rank, in the realms of pure thought and aesthetics, above their lesser brethren: the real and complex number- whose first names virtually exude unsavory involvement with the complex realities of everyday life! Yet, as we shall see in this book, the theory of integers can provide totally unexpected answers to real-world problems. In fact, discrete mathematics is ta king on an ever more important role. If nothing else, the advent of the digital computer and digital communication has seen to that. But even earlier, in physics the emergence of quantum mechanics and discrete elementary particles put a premium on the methods and, indeed, the spirit of discrete mathematics |
| ISBN,Price | 9783662023952 |
| Keyword(s) | 1. Coding and Information Theory
2. CODING THEORY
3. EBOOK
4. EBOOK - SPRINGER
5. INFORMATION THEORY
6. NUMBER THEORY
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I01692 |
|
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On Shelf |
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56.
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| Title | Relative Information : Theories and Applications |
| Author(s) | Jumarie, Guy |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 1990. |
| Description | XXII, 258 p : online resource |
| Abstract Note | For four decades, information theory has been viewed almost exclusively as a theory based upon the Shannon measure of uncertainty and information, usually referred to as Shannon entropy. Since the publication of Shannon's seminal paper in 1948, the theory has grown extremely rapidly and has been applied with varied success in almost all areas of human endeavor. At this time, the Shannon information theory is a well established and developed body of knowledge. Among its most significant recent contributions have been the use of the complementary principles of minimum and maximum entropy in dealing with a variety of fundamental systems problems such as predic?? tive systems modelling, pattern recognition, image reconstruction, and the like. Since its inception in 1948, the Shannon theory has been viewed as a restricted information theory. It has often been argued that the theory is capable of dealing only with syntactic aspects of information, but not with its semantic and pragmatic aspects. This restriction was considered a v~rtue by some experts and a vice by others. More recently, however, various arguments have been made that the theory can be appropriately modified to account for semantic aspects of in?? formation as well. Some of the most convincing arguments in this regard are in?? cluded in Fred Dretske's Know/edge & Flow of Information (The M.LT. Press, Cambridge, Mass., 1981) and in this book by Guy lumarie |
| ISBN,Price | 9783642840173 |
| Keyword(s) | 1. ACOUSTICS
2. Coding and Information Theory
3. CODING THEORY
4. COMPLEX SYSTEMS
5. DYNAMICAL SYSTEMS
6. EBOOK
7. EBOOK - SPRINGER
8. INFORMATION THEORY
9. STATISTICAL PHYSICS
10. Statistical Physics and Dynamical Systems
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I01252 |
|
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On Shelf |
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57.
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| Title | Maximum Entropy and Bayesian Methods : Boise, Idaho, USA, 1997 Proceedings of the 17th International Workshop on Maximum Entropy and Bayesian Methods of Statistical Analysis |
| Author(s) | Erickson, G;Rychert, Joshua T;Smith, C.R |
| Publication | Dordrecht, Springer Netherlands, 1998. |
| Description | IX, 302 p : online resource |
| Abstract Note | This volume has its origin in the Seventeenth International Workshop on Maximum Entropy and Bayesian Methods, MAXENT 97. The workshop was held at Boise State University in Boise, Idaho, on August 4 -8, 1997. As in the past, the purpose of the workshop was to bring together researchers in different fields to present papers on applications of Bayesian methods (these include maximum entropy) in science, engineering, medicine, economics, and many other disciplines. Thanks to significant theoretical advances and the personal computer, much progress has been made since our first Workshop in 1981. As indicated by several papers in these proceedings, the subject has matured to a stage in which computational algorithms are the objects of interest, the thrust being on feasibility, efficiency and innovation. Though applications are proliferating at a staggering rate, some in areas that hardly existed a decade ago, it is pleasing that due attention is still being paid to foundations of the subject. The following list of descriptors, applicable to papers in this volume, gives a sense of its contents: deconvolution, inverse problems, instrument (point-spread) function, model comparison, multi sensor data fusion, image processing, tomography, reconstruction, deformable models, pattern recognition, classification and group analysis, segmentation/edge detection, brain shape, marginalization, algorithms, complexity, Ockham's razor as an inference tool, foundations of probability theory, symmetry, history of probability theory and computability. MAXENT 97 and these proceedings could not have been brought to final form without the support and help of a number of people |
| ISBN,Price | 9789401150286 |
| Keyword(s) | 1. ARTIFICIAL INTELLIGENCE
2. Coding and Information Theory
3. CODING THEORY
4. Computer science???Mathematics
5. Discrete Mathematics in Computer Science
6. EBOOK
7. EBOOK - SPRINGER
8. INFORMATION THEORY
9. PROBABILITIES
10. Probability Theory and Stochastic Processes
11. Statistics, general
12. Statistics??
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I01159 |
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On Shelf |
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58.
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| Title | Maximum Entropy and Bayesian Methods Garching, Germany 1998 : Proceedings of the 18th International Workshop on Maximum Entropy and Bayesian Methods of Statistical Analysis |
| Author(s) | Linden, Wolfgang von der;Dose, Volker;Fischer, Rainer;Preuss, Roland |
| Publication | Dordrecht, Springer Netherlands, 1999. |
| Description | XVI, 365 p : online resource |
| Abstract Note | In 1978 Edwin T. Jaynes and Myron Tribus initiated a series of workshops to exchange ideas and recent developments in technical aspects and applications of Bayesian probability theory. The first workshop was held at the University of Wyoming in 1981 organized by C.R. Smith and W.T. Grandy. Due to its success, the workshop was held annually during the last 18 years. Over the years, the emphasis of the workshop shifted gradually from fundamental concepts of Bayesian probability theory to increasingly realistic and challenging applications. The 18th international workshop on Maximum Entropy and Bayesian Methods was held in Garching / Munich (Germany) (27-31. July 1998). Opening lectures by G. Larry Bretthorst and by Myron Tribus were dedicated to one of th the pioneers of Bayesian probability theory who died on the 30 of April 1998: Edwin Thompson Jaynes. Jaynes revealed and advocated the correct meaning of 'probability' as the state of knowledge rather than a physical property. This inter?? pretation allowed him to unravel longstanding mysteries and paradoxes. Bayesian probability theory, "the logic of science" - as E.T. Jaynes called it - provides the framework to make the best possible scientific inference given all available exper?? imental and theoretical information. We gratefully acknowledge the efforts of Tribus and Bretthorst in commemorating the outstanding contributions of E.T. Jaynes to the development of probability theory |
| ISBN,Price | 9789401147101 |
| Keyword(s) | 1. ARTIFICIAL INTELLIGENCE
2. Coding and Information Theory
3. CODING THEORY
4. Computer science???Mathematics
5. Discrete Mathematics in Computer Science
6. EBOOK
7. EBOOK - SPRINGER
8. INFORMATION THEORY
9. PROBABILITIES
10. Probability Theory and Stochastic Processes
11. Statistics, general
12. Statistics??
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I00257 |
|
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On Shelf |
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