https://github.com/computationalsciencelaboratory/fatode
A FORTRAN library for the integration of ordinary differential equations with direct and adjoint sensitivity analysis capabilities
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
○DOI references
-
○Academic publication links
-
✓Committers with academic emails
1 of 1 committers (100.0%) from academic institutions -
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (14.4%) to scientific vocabulary
Keywords
Repository
A FORTRAN library for the integration of ordinary differential equations with direct and adjoint sensitivity analysis capabilities
Basic Info
- Host: GitHub
- Owner: ComputationalScienceLaboratory
- License: other
- Language: Fortran
- Default Branch: master
- Homepage: http://people.cs.vt.edu/~asandu/Software/FATODE
- Size: 3.62 MB
Statistics
- Stars: 14
- Watchers: 6
- Forks: 2
- Open Issues: 1
- Releases: 0
Topics
Metadata Files
README.md
FATODE
FATODE version 1.2 by Hong Zhang and Adrian Sandu Released April 30, 2013
FATODE version 1.1 by Hong Zhang and Adrian Sandu Released November 11, 2012
FATODE contains a set of integrators to solve ordinary differential system y'=f(t,y) with capabilities of direct and adjoint sensitivity analysis. FATODE is implemented in FORTRAN90, and has been tested with the following compilers: Portland group's pgf90, Intel's ifort, Lahey's lf95, Sun's sunf90, gfortran, Absoft.
FATODE contains the following directory structure:
FATODE/README general instructions
FATODE/FWD forward model integrators
FATODE/ADJ adjoint model integrators
FATODE/TLM tangent linear model integrators
FATODE/LSS_LIBS lib files of linear solvers
FATODE/EXAMPLES example programs
FATODE/DOC documentation (user's guide)
FATODE implementation requires BLAS and LAPACK libraries. For solution of linear systems arised in the integration, FATODE provides options to use BLAS/ LAPACK routines (with macro definition -DFULLALGEBRA) and to use sparse linear solvers such as UMFPACK (-DSPARSEUMF) and SuperLU (-DSPARSE_LU). If sparse linear solvers are needed, the FATODE code must be linked with corresponding (static) libraries for the linear solvers. For installation instuctions of UMFPACK and SuperLU, please refer to their websites. UMFPACK can be accessed at: http://www.cise.ufl.edu/research/sparse/umfpack/ SuperLU can be accessed at: http://crd.lbl.gov/~xiaoye/SuperLU/
Since UMFPACK and SuperLU are written in C, wrappers for calling C routines from FORTRAN are needed. They can be found in the original packages of UMFPACK and SuperLU. For convenience, they are also included in FATODE/LSS_LIBS directory as well as makefiles to generate object files which can be linked to FATODE code. Make sure to modify the installation PATH first in the makefiles if you need to regenerate the object files.
For usage of FATODE, please refer to the user's guide, as well as the example programs containing drivers and makefiles which can be used as templates.
Changes
Changes from Version 1.1
Bug fixes: - Fixed a possible initilization problem of method coefficients for windows users. - Fixed improper use of drdy in the adjoint Rosenbrock solver. Complier options: - The option -mp for ifort compiler is deprecated. Use -fltconsistency instead.
Changes from Version 1.0
New example: - CBM-IV: a stiff chemical system used to demonstrate the usage of FATODE for computing sensivities with respect to system parameters. Bug fixes: - Fixed several bugs in Rosenbrock solvers Complier options: - ifort sometimes reulsts in inconsistent output with other compilers due to floating-point calculation consistency. The option -mp can solve this problem. Documentation: - Add a user's guide for FATODE
Owner
- Name: Computational Science Laboratory
- Login: ComputationalScienceLaboratory
- Kind: organization
- Location: Blacksburg, VA
- Website: http://csl.cs.vt.edu
- Repositories: 4
- Profile: https://github.com/ComputationalScienceLaboratory
Research group of Dr. Adrian Sandu at Virginia Tech
GitHub Events
Total
- Watch event: 1
Last Year
- Watch event: 1
Committers
Last synced: about 2 years ago
Top Committers
| Name | Commits | |
|---|---|---|
| Steven Roberts | s****4@v****u | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: about 2 years ago
All Time
- Total issues: 0
- Total pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 1
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- K20shores (2)