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Modeling Of Post-Myocardial Infarction eBook
Ode/Pde Analysis With R
Book
eBook
language: english
Publisher:
ELSEVIER SCIENCE, August of 2023 ‧
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193,45€
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Ebook for ADE
SYNOPSIS
Modeling of Post-Myocardial Infarction: ODE/PDE Analysis with R presents mathematical models for the dynamics of a post-myocardial (post-MI), aka, a heart attack. The mathematical models discussed consist of six ordinary differential equations (ODEs) with dependent variables Mun; M1; M2; IL10; T; IL1. The system variables are explained as follows: dependent variable Mun = cell density of unactivated macrophage; dependent variable M1 = cell density of M1 macrophage; dependent variable M2 = cell density of M2 macrophage; dependent variable IL10 = concentration of IL10, (interleuken-10); dependent variable T = concentration of TNF- (tumor necrosis factor-); dependent variable IL1 = concentration of IL1 (interleuken-1).The system of six ODEs does not include a spatial aspect of an MI in the cardiac tissue. Therefore, the ODE model is extended to include a spatial effect by the addition of diffusion terms. The resulting system of six diffusion PDEs, with x (space) and t (time) as independent variables, is integrated (solved) by the numerical method of lines (MOL), a general numerical algorithm for PDEs.- 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 the mathematical model and algorithms- Authored by a leading researcher and educator in PDE models
DETAILS
| Property | Description |
|---|---|
| ISBN: | 9780443136122 |
| Publisher: | ELSEVIER SCIENCE |
| Release Date: | August of 2023 |
| Language: | English |
| Format: | eBook |
| File Format and Compatibility: | |
| Categories: |
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| EAN: | 9780443136122 |
| Acessibilidade: | Ver características de acessibilidade indicadas pelo editor |
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