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Corrected typos in JOSS paper (#116)
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joss/paper.md

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@@ -25,14 +25,14 @@ written in a weak form, for example: find $u\in V$ such that for all $v\in V,$
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$$\int_\Omega \nabla u\cdot\nabla v=\int_\Omega fv,$$
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where $f$ is a known function, and $\Omega$ is the domain on which the problem is begin solved.
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This form is then discretised by defining a finite dimensional subspace of $V$---often called
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where $f$ is a known function, and $\Omega$ is the domain on which the problem is being solved.
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This form is then discretised by defining a finite-dimensional subspace of $V$---often called
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$V_h$---and looking for a solution $u_h\in V_h$ that satisfies the above equation for all functions
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$v_h\in V_h$. These finite dimensional subspaces are defined by meshing the domain of the problem,
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$v_h\in V_h$. These finite-dimensional subspaces are defined by meshing the domain of the problem,
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then defining a set of basis functions on each cell in the mesh (and enforcing any desired
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continuity between the cells).
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For different applications, there are a wide range of finite dimensional spaces that can be used.
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For different applications, there are a wide range of finite-dimensional spaces that can be used.
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Symfem is a Python library that can be used to symbolically compute basis functions of these
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spaces. The symbolic representations are created using Sympy [@sympy], allowing
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them to be easily manipulated using Sympy's functionality once they are created.
@@ -41,7 +41,7 @@ them to be easily manipulated using Sympy's functionality once they are created.
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In FEM libraries, it is common to define basis functions so that they, and their
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derivatives, can quickly and efficiently be evaluated at a collection of points, thereby allowing
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full computations to be completed quickyl. The libraries FIAT [@fiat] and Basix [@basix]---which
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full computations to be completed quickly. The libraries FIAT [@fiat] and Basix [@basix]---which
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are part of the FEniCS project [@fenics]---implement this functionality as stand-alone libraries.
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Many other FEM libraries define their basis functions as part of the core library functionality.
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It is not common to be able to compute a symbolic representation of the basis functions.

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