Logo

Random Graphs and Complex Networks

Small book cover: Random Graphs and Complex Networks

Random Graphs and Complex Networks
by

Publisher: Eindhoven University of Technology
Number of pages: 363

Description:
These lecture notes are intended to be used for master courses, where the students have a limited prior knowledge of special topics in probability. Therefore, we have included many of the preliminaries, such as convergence of random variables, probabilistic bounds, coupling, martingales and branching processes. These notes are aimed to be self-contained, and to give the readers an insight in the history of the field of random graphs.

Home page url

Download or read it online for free here:
Download link
(3.8MB, PDF)

Similar books

Book cover: Foundations of Constructive Probability TheoryFoundations of Constructive Probability Theory
by - arXiv.org
The author provides a systematic, thorough treatment of the foundations of probability theory and stochastic processes along the lines of E. Bishop's constructive analysis. Every existence result presented shall be a construction ...
(5822 views)
Book cover: Exposition of the Theory of Chances and ProbabilitiesExposition of the Theory of Chances and Probabilities
by - arXiv.org
I aim to make accessible the rules of the calculus of probability to those, unacquainted with the higher chapters of mathematics. The reading of my book will not require any other knowledge except elementary algebra, or even algebraic notation.
(4791 views)
Book cover: Radically Elementary Probability TheoryRadically Elementary Probability Theory
by - Princeton University Press
In this book Nelson develops a new approach to probability theory that is just as powerful as but much simpler than conventional Kolmogorov-style probability theory used throughout mathematics for most of the 20th century.
(17943 views)
Book cover: Applied ProbabilityApplied Probability
by - Connexions
This textbook covers most aspects of advanced and applied probability. The book utilizes a number of user defined m-programs, in combination with built in MATLAB functions, for solving a variety of probabilistic problems.
(13555 views)