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| Hauptseite > Publikationsdatenbank > ODE-toolbox: Automatic selection and generation of integration schemes for systems of ordinary differential equations > print |
| Hauptseite > Publikationsdatenbank > ODE-toolbox: Automatic selection and generation of integration schemes for systems of ordinary differential equations > print |
| 001 | 877336 | ||
| 005 | 20240313094935.0 | ||
| 024 | 7 | _ | |a 10.5281/ZENODO.3822082 |2 doi |
| 037 | _ | _ | |a FZJ-2020-02149 |
| 100 | 1 | _ | |a Linssen, Charl |0 P:(DE-Juel1)176305 |b 0 |e Corresponding author |u fzj |
| 245 | _ | _ | |a ODE-toolbox: Automatic selection and generation of integration schemes for systems of ordinary differential equations |
| 260 | _ | _ | |c 2020 |
| 336 | 7 | _ | |a Software |2 DCMI |
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| 336 | 7 | _ | |a MISC |2 BibTeX |
| 336 | 7 | _ | |a Computer Program |0 6 |2 EndNote |
| 336 | 7 | _ | |a OTHER |2 ORCID |
| 336 | 7 | _ | |a Software |2 DataCite |
| 520 | _ | _ | |a Choosing the optimal solver for systems of ordinary differential equations (ODEs) is a critical step in dynamical systems simulation. ODE-toolbox is a Python package that assists in solver benchmarking, and recommends solvers on the basis of a set of user-configurable heuristics. For all dynamical equations that admit an analytic solution, ODE-toolbox generates propagator matrices that allow the solution to be calculated at machine precision. For all others, first-order update expressions are returned based on the Jacobian matrix.In addition to continuous dynamics, discrete events can be used to model instantaneous changes in system state, such as a neuronal action potential. These can be generated by the system under test as well as applied as external stimuli, making ODE-toolbox particularly well-suited for applications in computational neuroscience. |
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| 588 | _ | _ | |a Dataset connected to DataCite |
| 700 | 1 | _ | |a Morrison, Abigail |0 P:(DE-Juel1)151166 |b 1 |u fzj |
| 700 | 1 | _ | |a Eppler, Jochen Martin |0 P:(DE-Juel1)142538 |b 2 |u fzj |
| 773 | _ | _ | |a 10.5281/ZENODO.3822082 |
| 856 | 4 | _ | |u https://zenodo.org/record/3822082 |
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| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Decoding the Human Brain |1 G:(DE-HGF)POF3-570 |0 G:(DE-HGF)POF3-574 |2 G:(DE-HGF)POF3-500 |v Theory, modelling and simulation |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |
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