# Odepde Analysis Of Antibioticantimicrobial Resistance

Download book entitled ODE/PDE Analysis of Antibiotic/Antimicrobial Resistance written by William E. Schiesser and published by Academic Press. This book was released on 13 August 2020 with total pages 122. Available in PDF, EPUB and Kindle. Click GET THIS BOOK Button and find your favorite books in the library. Create free account to access unlimited books, fast download and ads free!

- Author : William E. Schiesser
- Release Date : 13 August 2020
- Publisher : Academic Press
- Genre : Science
- Pages : 122
- ISBN 13 : 9780128242506

## Download ODE/PDE Analysis of Antibiotic/Antimicrobial Resistance eBook in PDF, Epub and Kindle

Book Description: ODE/PDE Analysis of Antibiotic/Antimicrobial Resistance: Programming in R presents mathematical models for antibiotic/antimicrobial resistance based on ordinary and partial differential equations (ODE/PDEs). Sections cover the basic ODE model, the detailed PDE model that gives the spatiotemporal distribution of four dependent variable components, including susceptible bacteria population density, resistant bacteria population density, plasmid number, and antibiotic concentration. The computer-based implementation of the example models is presented through routines coded (programmed) in R, a quality, open-source scientific computing system that is readily available from the Internet. As such, formal mathematics is minimized and no theorems and proofs are required. The PDE analysis is based on the method of lines (MOL), an established general algorithm for PDEs that is implemented with finite differences. Routines are available from a download link so that the example models can be executed without having to first study numerical methods and computer coding. Routines can then be applied to variations and extensions of the antibiotic/antimicrobial models, such as changes in the ODE/PDE parameters (constants) and the form of the model equations. Includes PDE routines based on the method of lines (MOL) for computer-based implementation of PDE models Offers transportable computer source codes for readers in R, with line-by-line code descriptions as it relates to mathematical model and algorithms Authored by a leading researcher and educator in PDE models