Analysis and Probability on Graphs

Analysis and Probability on graphs is an introduction to random graphs, Markov chains on digraphs, entropy of Markov Chains, and discrete Lyapunov exponents and Hausdorff dimension, requiring only minimal background in probability, mathematical analysis, and graphs. This textbook includes constructive discussions about the motivation of basic concepts, and many worked-out problems in each chapter, making it ideal for classroom use or self-study.

Auteur

Shmuel Friedland , University of Illinois; Mohsen Aliabadi , University of California, USA.

Résumé

A textbook for advanced math or computer science majors taking probability, graph theory, combinatorics, or matrix theory courses.