fde solver fde12 (MathWorks Inc)
Structured Review
![Comparison of computation time for the death-rate model with either a hyperbolic tangent \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\hat{H}}(t)$$\end{document} H ^ ( t ) function or a Heaviside H ( t ) function, and the impulsive (start/stop) model. Parameter fitting of the exponential growth model to patient 5 data was performed 100 times and the average total time and CPU time per fit are reported. Best-fitting parameters are also listed along with the frequency of occurrence (consensus)](https://pub-med-central-html-table-images-cdn.bioz.com/pub_med_central_ids_ending_with_7975/pmc10127975/pmc10127975__Tab6__fde_ascii32_solver_ascii32_fde12_ascii32_in_ascii32_matlab_ascii32_garrappa__mathworks_ascii32_inc.jpg)
Fde Solver Fde12, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/fde solver fde12/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
Images
1) Product Images from "Modelling Radiation Cancer Treatment with a Death-Rate Term in Ordinary and Fractional Differential Equations"
Article Title: Modelling Radiation Cancer Treatment with a Death-Rate Term in Ordinary and Fractional Differential Equations
Journal: Bulletin of Mathematical Biology
doi: 10.1007/s11538-023-01139-2
Figure Legend Snippet: Comparison of computation time for the death-rate model with either a hyperbolic tangent \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\hat{H}}(t)$$\end{document} H ^ ( t ) function or a Heaviside H ( t ) function, and the impulsive (start/stop) model. Parameter fitting of the exponential growth model to patient 5 data was performed 100 times and the average total time and CPU time per fit are reported. Best-fitting parameters are also listed along with the frequency of occurrence (consensus)
Techniques Used: Comparison