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ODE/PDE Analysis of Antibiotic/Antimicrobial Resistance - Programming in R (Paperback) Loot Price: R3,581
Discovery Miles 35 810
ODE/PDE Analysis of Antibiotic/Antimicrobial Resistance - Programming in R (Paperback): William E. Schiesser

ODE/PDE Analysis of Antibiotic/Antimicrobial Resistance - Programming in R (Paperback)

William E. Schiesser

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Loot Price R3,581 Discovery Miles 35 810 | Repayment Terms: R336 pm x 12*

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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.

General

Imprint: Academic Press Inc
Country of origin: United States
Release date: August 2020
First published: 2020
Authors: William E. Schiesser
Dimensions: 235 x 191mm (L x W)
Format: Paperback
Pages: 122
ISBN-13: 978-0-12-824002-1
Categories: Books > Medicine > Nursing & ancillary services > Biomedical engineering > General
Books > Professional & Technical > Biochemical engineering > Biotechnology > General
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LSN: 0-12-824002-4
Barcode: 9780128240021

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