MARC details
| 000 -LEADER |
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| fixed length control field |
02745nam a22002177a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20221205143854.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
221205b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9781108789981 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
519.2 |
| Item number |
AMI |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Amir, Ariel |
| 245 ## - TITLE STATEMENT |
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| Title |
Thinking probabilistically: |
| Remainder of title |
stochastic processes, disordered systems, and their applications |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Name of publisher, distributor, etc. |
Cambridge University Press |
| Place of publication, distribution, etc. |
United Kingdom |
| Date of publication, distribution, etc. |
2021 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
vii, 233 p. |
| 365 ## - TRADE PRICE |
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| Price type code |
GBP |
| Price amount |
39.99 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Table of Contents<br/>1. Introduction<br/>2. Random walks<br/>3. Langevin and Focker–Planck equations and their applications<br/>4. Escape over a barrier<br/>5. Noise<br/>6. Generalized central limit theorem and extreme value statistics<br/>7. Anomalous diff usion<br/>8. Random matrix theory<br/>9. Percolation theory<br/>Appendix A. Review of basic probability concepts and common distributions<br/>Appendix B. A brief linear algebra reminder, and some Gaussian integrals<br/>Appendix C. Contour integration and Fourier transform refresher<br/>Appendix D. Review of Newtonian mechanics, basic statistical mechanics and Hessians<br/>Appendix E. Minimizing functionals, the divergence theorem and saddle point approximations<br/>Appendix F. Notation, notation...<br/>References<br/>Index. |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
Probability theory has diverse applications in a plethora of fields, including physics, engineering, computer science, chemistry, biology and economics. This book will familiarize students with various applications of probability theory, stochastic modeling and random processes, using examples from all these disciplines and more. The reader learns via case studies and begins to recognize the sort of problems that are best tackled probabilistically. The emphasis is on conceptual understanding, the development of intuition and gaining insight, keeping technicalities to a minimum. Nevertheless, a glimpse into the depth of the topics is provided, preparing students for more specialized texts while assuming only an undergraduate-level background in mathematics. The wide range of areas covered - never before discussed together in a unified fashion – includes Markov processes and random walks, Langevin and Fokker–Planck equations, noise, generalized central limit theorem and extreme values statistics, random matrix theory and percolation theory.<br/><br/>Explains the power of probability theory both as a conceptual framework and as a tool across mathematics and physics<br/>Avoids using unnecessary technicalities, keeping the mathematical prerequisites to a minimum<br/>Contains numerous and diverse examples of interdisciplinary applications of probability theory |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Order-disorder models |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Probabilities |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Stochastic processes |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Book |