%0 Journal Article %1 gustafssonsubmittedforpublicationscikitfem %A Gustafsson, Tom %A McBain, G. D. %D submitted for publication %J The Journal of Open Source Software %K 65n30-pdes-bvps-finite-elements 65-04-numerical-analysis-software-source-code %T scikit-fem: A Python package for finite element assembly %U https://github.com/openjournals/joss-reviews/issues/2369 %X Partial differential equations (PDEs)—such as the Navier–Stokes equations in fluid mechanics, the Maxwell equations in electromagnetism, and the Schrödinger equation in quantum mechanics—are the basic building blocks of modern physics and engineering. The finite element method (FEM) is a flexible computational technique for the discretization and solution of PDEs, especially in the case of complex spatial domains. Conceptually, FEM transforms a time-independent (or temporally discretized) PDE into a system of linear equations $Ax=b$. scikit-fem is a lightweight Python library for the creation, or assembly, of the finite element matrix $A$ and vector $b$. The user loads a computational mesh, picks suitable basis functions, and provides the PDE's weak formulation. This results in sparse matrices and vectors compatible with the SciPy @scipy ecosystem.

@article{gustafssonsubmittedforpublicationscikitfem, abstract = {Partial differential equations (PDEs)—such as the Navier–Stokes equations in fluid mechanics, the Maxwell equations in electromagnetism, and the Schrödinger equation in quantum mechanics—are the basic building blocks of modern physics and engineering. The finite element method (FEM) is a flexible computational technique for the discretization and solution of PDEs, especially in the case of complex spatial domains. Conceptually, FEM transforms a time-independent (or temporally discretized) PDE into a system of linear equations $Ax=b$. scikit-fem is a lightweight Python library for the creation, or assembly, of the finite element matrix $A$ and vector $b$. The user loads a computational mesh, picks suitable basis functions, and provides the PDE's weak formulation. This results in sparse matrices and vectors compatible with the SciPy [@scipy] ecosystem.}, added-at = {2020-07-06T07:45:35.000+0200}, author = {Gustafsson, Tom and McBain, G. D.}, biburl = {https://www.bibsonomy.org/bibtex/2e71514b7683140593dcd2b7f411d9712/gdmcbain}, interhash = {1550a5873971c55a85afd1b78cc4b807}, intrahash = {e71514b7683140593dcd2b7f411d9712}, journal = {The Journal of Open Source Software}, keywords = {65n30-pdes-bvps-finite-elements 65-04-numerical-analysis-software-source-code}, timestamp = {2020-08-24T06:59:39.000+0200}, title = {scikit-fem: A Python package for finite element assembly}, url = {https://github.com/openjournals/joss-reviews/issues/2369}, year = {submitted for publication} }