Degenerate Regimes for Random Growth Models in the Complex Plane
Title | Degenerate Regimes for Random Growth Models in the Complex Plane PDF eBook |
Author | Frankie Higgs |
Publisher | |
Pages | 0 |
Release | 2022 |
Genre | |
ISBN |
High-Dimensional Probability
Title | High-Dimensional Probability PDF eBook |
Author | Roman Vershynin |
Publisher | Cambridge University Press |
Pages | 299 |
Release | 2018-09-27 |
Genre | Business & Economics |
ISBN | 1108415199 |
An integrated package of powerful probabilistic tools and key applications in modern mathematical data science.
Applications of Random Matrices in Physics
Title | Applications of Random Matrices in Physics PDF eBook |
Author | Édouard Brezin |
Publisher | Springer Science & Business Media |
Pages | 528 |
Release | 2006-03-03 |
Genre | Mathematics |
ISBN | 9781402045301 |
Proceedings of the NATO Advanced Study Institute on Applications of Random Matrices in Physics, Les Houches, France, 6-25 June 2004
Random Graphs and Complex Networks
Title | Random Graphs and Complex Networks PDF eBook |
Author | Remco van der Hofstad |
Publisher | Cambridge University Press |
Pages | 341 |
Release | 2017 |
Genre | Computers |
ISBN | 110717287X |
This classroom-tested text is the definitive introduction to the mathematics of network science, featuring examples and numerous exercises.
Random Processes for Engineers
Title | Random Processes for Engineers PDF eBook |
Author | Bruce Hajek |
Publisher | Cambridge University Press |
Pages | 429 |
Release | 2015-03-12 |
Genre | Technology & Engineering |
ISBN | 1316241246 |
This engaging introduction to random processes provides students with the critical tools needed to design and evaluate engineering systems that must operate reliably in uncertain environments. A brief review of probability theory and real analysis of deterministic functions sets the stage for understanding random processes, whilst the underlying measure theoretic notions are explained in an intuitive, straightforward style. Students will learn to manage the complexity of randomness through the use of simple classes of random processes, statistical means and correlations, asymptotic analysis, sampling, and effective algorithms. Key topics covered include: • Calculus of random processes in linear systems • Kalman and Wiener filtering • Hidden Markov models for statistical inference • The estimation maximization (EM) algorithm • An introduction to martingales and concentration inequalities. Understanding of the key concepts is reinforced through over 100 worked examples and 300 thoroughly tested homework problems (half of which are solved in detail at the end of the book).
The Random-Cluster Model
Title | The Random-Cluster Model PDF eBook |
Author | Geoffrey R. Grimmett |
Publisher | Springer Science & Business Media |
Pages | 392 |
Release | 2006-12-13 |
Genre | Mathematics |
ISBN | 3540328912 |
The random-cluster model has emerged as a key tool in the mathematical study of ferromagnetism. It may be viewed as an extension of percolation to include Ising and Potts models, and its analysis is a mix of arguments from probability and geometry. The Random-Cluster Model contains accounts of the subcritical and supercritical phases, together with clear statements of important open problems. The book includes treatment of the first-order (discontinuous) phase transition.
Random Walks and Diffusion
Title | Random Walks and Diffusion PDF eBook |
Author | Open University Course Team |
Publisher | |
Pages | 200 |
Release | 2009-10-21 |
Genre | Diffusion |
ISBN | 9780749251680 |
This block explores the diffusion equation which is most commonly encountered in discussions of the flow of heat and of molecules moving in liquids, but diffusion equations arise from many different areas of applied mathematics. As well as considering the solutions of diffusion equations in detail, we also discuss the microscopic mechanism underlying the diffusion equation, namely that particles of matter or heat move erratically. This involves a discussion of elementary probability and statistics, which are used to develop a description of random walk processes and of the central limit theorem. These concepts are used to show that if particles follow random walk trajectories, their density obeys the diffusion equation.