Sort::Naturally::XS - Perl extension for human-friendly ("natural") sort order.
Natural sort order is an ordering of mixed strings (consist of characters and digits) in alphabetical order, except that digital parts are ordered as numbers. Natural sorting can be considered as a replacement of a
... [More] standard machine-oriented alphabetical sorting, because it is more convenient for human understanding. [Less]
Sort::Naturally::ICU - Perl extension for human-friendly ("natural") sort order, which using ICU library for locale aware sorting.
Natural sort order is an ordering of mixed strings (consist of characters and digits) in alphabetical order, except that digital parts are ordered as numbers. Natural
... [More] sorting can be considered as a replacement of a standard machine-oriented alphabetical sorting, because it is more convenient for human understanding.
The problem is that not all Unix-like OSs completely support POSIX, in fact only Linux fully POSIX compatible. Therefore you can't use above approach in Mac OS or FreeBSD. This module is designed to solve this issue. [Less]
Adapters for Java implementations of algorithms for routing the shortest paths between two vertices/nodes/points in a directed weighted graph without multiple edges between the same two vertices.
The resulting paths must not have any loops/cycles i.e. must not visit the same vertex more than once
... [More] within the same path.
The resulting paths do not have to be disjoint. Neither edge-disjoint nor vertex-disjoint. In other words it is okay that the same edge or vertex exist in different paths.
The license for the core project is MIT but the adapee/adapter libraries licensed in the same way as the corresponding original Java code i.e. Apache 2.0 license. [Less]
This project visualizes the exploration of a cubic search space by a single RRT. You can see how the search tree grows starting in the middle of the cube. Parameters can be adjusted while the planning algorithm is executing.
Visit https://mkroehnert.gitlab.io/RRT-Visualization/ in order to see the demo.
The minfx project is a Python package for numerical optimisation, being a large collection of standard minimisation algorithms. This includes the line search methods: steepest descent, back-and-forth coordinate descent, quasi-Newton BFGS, Newton, Newton-CG; the trust-region methods: Cauchy
... [More] point, dogleg, CG-Steihaug, exact trust region; the conjugate gradient methods: Fletcher-Reeves, Polak-Ribiere, Polak-Ribiere +, Hestenes-Stiefel; the miscellaneous methods: Grid search, Simplex, Levenberg-Marquardt; and the augmented function constraint algorithms: logarithmic barrier and method of multipliers (or augmented Lagrangian method). [Less]
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