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friedland s aliabadi m analysis probability graphs 2025

Type:: E-books
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Uploaded On:: Feb. 8, 2025, 11:22 a.m.
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Textbook in PDF format Analysis and Probability on Graphs, abbreviated as APG, forms a foundational framework across various advanced mathematical topics. It serves as a critical tool in disciplines such as computer science, physics, engineering, bioinformatics, economics, and social sciences, particularly in analyzing the dynamics of large-scale events on graphs. Many of these dynamic phenomena can be modeled through appropriate probabilistic processes applied to large graphs. In our discussions, we prioritize understanding the motivation of each statement over getting immersed in details. Our approach is to aim for rigor where possible, but in other cases, we focus on conveying the concept of each statement. The main goal is to explore and explain various topics in this direction and provide a background for advanced undergraduate and graduate students in mathematics, physics, and computer science. The book is designed to be accessible to individuals with a basic understanding of graph theory and probability theory, making it suitable for upper-level undergraduates and those involved in independent study, using it as a reference, or exploring research with a basic background in probability and graph theory. The book may also be used as a textbook. Covering all these topics in a one-semester graduate course could be challenging. Nevertheless, since many sections of the book are independent, instructors have the fl exibility to select and incorporate relevant sections based on their specifi c needs

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Friedland S., Aliabadi M. Analysis and Probability on Graphs 2025.pdf 1.9 MB

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friedland s aliabadi m analysis probability graphs 2025

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