TY  - JOUR
PB  - SciPost Foundation
DO  - 10.21468/SciPostPhysCodeb.17
TI  - xSPDE3: Extensible software for stochastic ordinary and partial differential equations
PY  - 2023/10/02
UR  - https://scipost.org/SciPostPhysCodeb.17
JF  - SciPost Physics Codebases
JA  - SciPost Phys. Codebases
SP  - 17
A1  - Kiesewetter, Simon
AU  - Joseph, Ria R.
AU  - Drummond, Peter D.
AB  - The xSPDE toolbox treats stochastic partial and ordinary differential equations, with applications in biology, chemistry, engineering, medicine, physics and quantum technologies. It computes statistical averages, including time-step and/or sampling error estimation. xSPDE can provide higher order convergence, Fourier spectra and probability densities. The toolbox has graphical output and $\chi^{2}$ statistics, as well as weighted, projected, or forward-backward equations. It can generate input-output quantum spectra. All equations may have independent periodic, Dirichlet, and Neumann or Robin boundary conditions in any dimension, for any vector field component, and at either end of any interval.
ER  -

@Article{10.21468/SciPostPhysCodeb.17,
	title={{xSPDE3: Extensible software for stochastic ordinary and partial differential equations}},
	author={Simon Kiesewetter and Ria R. Joseph and Peter D. Drummond},
	journal={SciPost Phys. Codebases},
	pages={17},
	year={2023},
	publisher={SciPost},
	doi={10.21468/SciPostPhysCodeb.17},
	url={https://scipost.org/10.21468/SciPostPhysCodeb.17},
}

@Article{10.21468/SciPostPhysCodeb.17-r3.44,
	title={{Codebase release 3.44 for xSPDE}},
	author={Simon Kiesewetter and Ria R. Joseph and Peter D. Drummond},
	journal={SciPost Phys. Codebases},
	pages={17-r3.44},
	year={2023},
	publisher={SciPost},
	doi={10.21468/SciPostPhysCodeb.17-r3.44},
	url={https://scipost.org/10.21468/SciPostPhysCodeb.17-r3.44},
}