Markov Models & Optimization
โ Scribed by M.H.A. Davis
- Publisher
- Chapman & Hall/CRC
- Year
- 2018
- Tongue
- English
- Leaves
- 317
- Series
- Monographs on Statistics and Applied Probability
- Edition
- First edition
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This text presents a new approach to problems of evaluating and optimizing the performance of continuous-time stochastic systems. This approach is based on the use of a family of Markov processes called piecewise-deterministic processes (PDPs) as a general class of stochastic system models. A PDP is a Markov process that follows deterministic trajectories between random jumps, the latter occurring either spontaneously, in a Poisson-like fashion, or when the process hits the boundary of its state space.
โฆ Subjects
Probabilities
๐ SIMILAR VOLUMES
<p><strong>Markov Models</strong></p><p>This book will offer you an insight into the <strong>Hidden Markov Models</strong> as well as the <strong>Bayesian Networks</strong>. Additionally, by reading this book, you will also learn algorithms such as<strong> Markov Chain Sampling</
MODELING and OPTIMIZATION of OPTICAL COMMUNICATION NETWORKS Optical networks are an integral part of many of the technologies that we use every day. It is a constantly changing and evolving area, with new materials, processes, and applications coming online almost daily. This book provides a b
The aim of this book is to present the theoretical foundations of modeling the optical characteristics of liquid crystal displays, critically reviewing modern modeling methods and examining areas of applicability. The modern matrix formalisms of optics of anisotropic stratified media, most convenien
MARKOV CHAINS: Models, Algorithms and Applications outlines recent developments of Markov chain models for modeling queueing sequences, Internet, re-manufacturing systems, reverse logistics, inventory systems, bio-informatics, DNA sequences, genetic networks, data mining, and many other practical sy