Package: AdvDif4 0.7.18

AdvDif4: Solving 1D Advection Bi-Flux Diffusion Equation

This software solves an Advection Bi-Flux Diffusive Problem using the Finite Difference Method FDM. Vasconcellos, J.F.V., Marinho, G.M., Zanni, J.H., 2016, Numerical analysis of an anomalous diffusion with a bimodal flux distribution. <doi:10.1016/j.rimni.2016.05.001>. Silva, L.G., Knupp, D.C., Bevilacqua, L., Galeao, A.C.N.R., Silva Neto, A.J., 2014, Formulation and solution of an Inverse Anomalous Diffusion Problem with Stochastic Techniques. <doi:10.5902/2179460X13184>. In this version, it is possible to include a source as a function depending on space and time, that is, s(x,t).

Authors:Jader Lugon Junior, Pedro Paulo Gomes Watts Rodrigues, Luiz Bevilacqua, Gisele Moraes Marinho, Diego Campos Knupp, Joao Flavio Vieira Vasconcellos and Antonio Jose da Silva Neto.

AdvDif4_0.7.18.tar.gz
AdvDif4_0.7.18.zip(r-4.7)AdvDif4_0.7.18.zip(r-4.6)AdvDif4_0.7.18.zip(r-4.5)
AdvDif4_0.7.18.tgz(r-4.6-any)AdvDif4_0.7.18.tgz(r-4.5-any)
AdvDif4_0.7.18.tar.gz(r-4.7-any)AdvDif4_0.7.18.tar.gz(r-4.6-any)
AdvDif4_0.7.18.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
AdvDif4/json (API)

# Install 'AdvDif4' in R:
install.packages('AdvDif4', repos = c('https://jaderlugon.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 2 scripts 221 downloads 2 exports 0 dependencies

Last updated from:9aee480038. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK98
source / vignettesOK138
linux-release-x86_64OK89
macos-release-arm64OK130
macos-oldrel-arm64OK211
windows-develOK61
windows-releaseOK67
windows-oldrelOK70
wasm-releaseOK69

Exports:AdvDif4pentaSolve

Dependencies: