Stochastic Processes Multiscale Modeling and Numerical Methods for Computational Cellular Biology is popular PDF and ePub book, written by David Holcman in 2017-10-04, it is a fantastic choice for those who relish reading online the Mathematics genre. Let's immerse ourselves in this engaging Mathematics book by exploring the summary and details provided below. Remember, Stochastic Processes Multiscale Modeling and Numerical Methods for Computational Cellular Biology can be Read Online from any device for your convenience.
Stochastic Processes Multiscale Modeling and Numerical Methods for Computational Cellular Biology Book PDF Summary
This book focuses on the modeling and mathematical analysis of stochastic dynamical systems along with their simulations. The collected chapters will review fundamental and current topics and approaches to dynamical systems in cellular biology. This text aims to develop improved mathematical and computational methods with which to study biological processes. At the scale of a single cell, stochasticity becomes important due to low copy numbers of biological molecules, such as mRNA and proteins that take part in biochemical reactions driving cellular processes. When trying to describe such biological processes, the traditional deterministic models are often inadequate, precisely because of these low copy numbers. This book presents stochastic models, which are necessary to account for small particle numbers and extrinsic noise sources. The complexity of these models depend upon whether the biochemical reactions are diffusion-limited or reaction-limited. In the former case, one needs to adopt the framework of stochastic reaction-diffusion models, while in the latter, one can describe the processes by adopting the framework of Markov jump processes and stochastic differential equations. Stochastic Processes, Multiscale Modeling, and Numerical Methods for Computational Cellular Biology will appeal to graduate students and researchers in the fields of applied mathematics, biophysics, and cellular biology.
Detail Book of Stochastic Processes Multiscale Modeling and Numerical Methods for Computational Cellular Biology PDF
- Author : David Holcman
- Release : 04 October 2017
- Publisher : Springer
- ISBN : 9783319626277
- Genre : Mathematics
- Total Page : 377 pages
- Language : English
- PDF File Size : 10,8 Mb
If you're still pondering over how to secure a PDF or EPUB version of the book Stochastic Processes Multiscale Modeling and Numerical Methods for Computational Cellular Biology by David Holcman, don't worry! All you have to do is click the 'Get Book' buttons below to kick off your Download or Read Online journey. Just a friendly reminder: we don't upload or host the files ourselves.