Ian Henriksen

TL;DR: SciPy as discussed by the authors is an open source scientific computing library for the Python programming language, which includes functionality spanning clustering, Fourier transforms, integration, interpolation, file I/O, linear algebra, image processing, orthogonal distance regression, minimization algorithms, signal processing, sparse matrix handling, computational geometry, and statistics.

TL;DR: SciPy as discussed by the authors is an open-source scientific computing library for the Python programming language, which has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year.

TL;DR: An amendment to this paper has been published and can be accessed via a link at the top of the paper.

TL;DR: It is shown that the sets of Earley items maintained by the Earley parser implicitly encode derivative grammars and a procedure for producing derivativegrammars is given and it is suggested that derivative Grammars may provide a new foundation for context-free grammar recognition and parsing.

TL;DR: A graph-grammar-based algorithm for the longest-edge refinements and the pollution simulations in Lesser Poland area that automatically guarantees the validity and conformity of the generated mesh and prevents the generation of duplicated nodes and edges, elongated elements with Jacobians converging to zero, and removes all the hanging nodes automatically from the mesh.