Multidimensional Arrays
Multidimensional arrays.
Generate self aware multidimensional arrays of anything.
Multidimensional array constructor.
Base multidimensional array.
Multidimensional arrays.
Fast multidimensional filtering for coordinated views.
Super fast simple k-means and k-means++ clustering for unidimiensional and multidimensional data. Works in node and browser
Fast multidimensional filtering for coordinated views.
Determine the order of a multidimensional array based on a provided stride array.
Multidimensional interop tests
Multidimensional arrays for JS
Determine the index offset which specifies the location of the first indexed value in a multidimensional array based on a stride array.
Read and write tensor protobufs from Javascript multidimensional arrays.
maps multidimensional array indices to monodimensional array index
gliff.ai UPLOAD - a React component for uploading multidimensional images
A react component library for displaying multidimensional data.
multidimensional array sorting function
Multidimensional Graph Explorer
A UI-builder for powerful multidimensional filtering
A lightweight Sass function that merges multidimensional maps recursively.
A multidimensional Map
Handles calculus of multiple variables in multidimensional space.
A Typescript library for generating multidimensional convex hulls and delaunay triangulations.
Multidimensional array for Rust
numas library is implementation of multidimensional array for efficient computing
Multidimensional Rust vectors with a 1D footprint
Core multidimensional mathematics library with fundamental types, traits, and operations
Multidimensional image processing for ArrayBase, the n-dimensional array data structure provided by ndarray.
Multidimensional arrays with bounds included in the type system.
Procedural macros for the Tensr multidimensional array library
An implementation of Radial Basis Function multidimensional interpolation
Zarr v2/v3 driver for OxiGDAL - Pure Rust multidimensional array storage
An implementation of Radial Basis Function multidimensional interpolation
Statistics, Information Measures, Data Analysis, Linear Algebra, Clifford Algebra, Machine Learning, Geometric Median, Matrix Decompositions, Mahalanobis Distance, Hulls, Multithreading..
Serde support for n-dimensional arrays from self-describing formats
Describe a multidimensional table in pure Ruby
Turns multidimensional data into a pretty table.
Multidimensional scaling (MDS) is a set of related statistical techniques often used in information visualization for exploring similarities or dissimilarities in data.
A Ruby library for treating multidimensional values as elements of a vector space.
Describe multidimensional data with simple notation
A Ruby library for treating multidimensional values as elements of a vector space
Generates 241 infinite sequences of plane, space, and multidimensional figurate numbers based on the book ‘Figurate Numbers’ (2012) by Elena Deza and Michel Deza. The methods are implemented using the Enumerator class and are designed for use in your math projects or in Sonic Pi.
A flexible, multidimensional array class for Ruby.
JRuby gem for performing multidimensional queries of relational database data using Mondrian OLAP Java library
The gogyou is a library written at pure ruby that provides auxiliary features of binary data operation for ruby. The C-liked struct, union and multidimensional array definition are posible in ruby syntax. Available features: (1) nested struct and union with anonymous field (2) multidimensional array (3) field of variable array (4) const field (5) packed field (6) user definition types (7) (EXPERIMENTAL AND LIMITATION FEATURE) pointer
==== Ruby Topic Maps (RTM) RTM is a Topic Maps engine written in Ruby. See http://rtm.topicmapslab.de/ for instructions. Several backends and extensions are available as separate gems. ==== Overview From a developer's perspective, RTM is a schema-less database management system. The Topic Maps standard (described below) on which RTM is based provides a way of creating a self-describing schema just by using it. ==== Quickstart require 'rtm' connection = RTM.connect # uses the default Ontopia in-memory backend topic_map = connection.create "http://example.org/my_topic_map/" some_topic = topicmap.get!("identifier_of_the_topic") some_topic["-"] = "default name for the topic" topic_map.to_xtm("my_xtm_file.xtm") ==== Topic Maps Topic Maps is an international industry standard (ISO13250) for interchangeably representing information about the structure of information resources used to define topics, and the relationships between topics. A set of one or more interrelated documents that employs the notation defined by this International Standard is called a topic map. A topic map defines a multidimensional topic space - a space in which the locations are topics, and in which the distances between topics are measurable in terms of the number of intervening topics which must be visited in order to get from one topic to another, and the kinds of relationships that define the path from one topic to another, if any, through the intervening topics, if any. In addition, information objects can have properties, as well as values for those properties, assigned to them. The Topic Maps Data Model which is used in this implementation can be found on http://www.isotopicmaps.org/sam/sam-model/. ==== Backends * rtm-ontopia: JRuby only, recommended, uses Ontopia: http://code.google.com/p/ontopia/ * rtm-tinytim: JRuby only, uses TinyTiM: http://tinytim.sourceforge.net/ * rtm-activerecord: uses a custom ActiveRecord schema ==== Extensions * rtm-tmql: Adds support for the Topic Maps Query Language (TMQL), http://isotopicmaps.org/tmql/ * rtm-tmcl: Adds support for the Topic Maps Constraint Language (TMCL), http://isotopicmaps.org/tmcl/ ==== License Copyright 2009 Topic Maps Lab, University of Leipzig. Apache License, Version 2.0
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