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About Percolation Theory Using Python (Lecture Notes in Physics, 1029)
This course-based textbook delves into percolation theory, examining the physical properties of random media–materials characterized by varying sizes of holes and pores. The focus is on both the mathematical foundations and the computational and statistical methods used in this field. Designed as a practical introduction, the book places particular emphasis on providing a comprehensive set of computational tools necessary for studying percolation theory. Readers will learn how to generate, analyze, and comprehend data and models, with detailed theoretical discussions complemented by accessible computer codes. The book’s structure ensures a complete exploration of worked examples, encompassing theory, modeling, implementation, analysis, and the resulting connections between theory and analysis. Percolation is the study of connectivity of random media and of other properties of connected subsets of random media. In this book, we will address the physical properties of such media, develop the underlying mathematical theory and the computational and statistical methods needed to discuss the physical properties of random media. In order to do that, we will develop a simplified model system, a model porous medium, for which we can develop a well-founded mathematical theory, and then afterwards we can apply this model to realistic random systems. The basic terms in percolation theory are introduced, and you learn how to generate, visualize and measure on percolation systems in Python.
Detailed Information
| Author: | Anders Malthe-Sorenssen |
|---|---|
| Publication Year: | 2024 |
| ISBN: | 9783031598999 |
| Language: | English |
| File Size: | 40 |
| Format: | |
| Price: | FREE |
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