Search Results for "maps"

...An efficient implementation of the packed Hilbert R-tree algorithm. Enables fast spatial queries on a very large number of objects (e.g. millions), which is very useful in maps, data visualizations and computational geometry algorithms.

...It provides a clean API for constructing graph models, assigning weights to edges, and querying for optimal routes between nodes, making it useful for routing, games, maps, and network optimization. The library includes several algorithm implementations such as A*, Dijkstra’s, and breadth-first search, each suited to different types of graph structure and performance needs. It can be integrated with visualization libraries like VivaGraphJS to animate or highlight computed paths in a rendered graph, enabling interactive routing features. ...

...Spatial index is a special data structure for points and rectangles that allows you to perform queries like "all items within this bounding box" very efficiently (e.g. hundreds of times faster than looping over all items). It's most commonly used in maps and data visualizations. The demos contain visualization of trees generated from 50k bulk-loaded random points. Open web console to see benchmarks; click on buttons to insert or remove items; click to perform search under the cursor. An optional argument to RBush defines the maximum number of entries in a tree node. 9 (used by default) is a reasonable choice for most applications. ...

...A list where each element points to the next element in the list. A set is a data structure that can store elements and has no repeated values. A Map is a data structure that maps keys to values.

...The system builds upon traditional structure-from-motion (SfM) techniques to provide geometric constraints while integrating a convolutional neural network trained for single-image depth estimation. During inference, the model fine-tunes itself to align with the geometric constraints of a specific input video, ensuring stable and realistic depth maps even in less-constrained regions. This approach achieves improved geometric consistency and visual stability compared to prior monocular reconstruction methods. The project can process challenging hand-held video footage, including those with moderate dynamic motion, making it practical for real-world usage.

CDS (Concurrent Data Structures) is a C++ template library of lock-free and fine-grained lock-based algorithms. It contains a collection of concurrent data structures: queues, stacks, sets, maps, etc, and safe memory reclamation schema for concurrent containers - Hazard Pointer and user-space RCU. See doxygen doc http://libcds.sourceforge.net/doc/cds-api/index.html. The source code repo for libcds 2.x has been moved to https://github.com/khizmax/libcds

A set of helper and utility classes, APIs and tools for the Java Programming Language. For more details - pleas visit the project homepage.

...With this library you can feed a set of sites (points) and compute their Voronoi cells – the partition of the plane into regions closest to each site – in O(n log n) time. It’s especially useful in web UIs, visualizations, interactive maps, and generative-art contexts where you need dynamic tessellations or diagrammatic layouts. The library exposes API functions for computing cells, retrieving neighbors, and drawing results into canvas or SVG. Because it is pure JavaScript and self-contained, it integrates easily with browser or Node.js applications without heavy dependencies. ...

Libcutils provides a self-contained set of fundamental routines which are essential to basically any Unix utility or daemon application written in C. The library provides fundamental data structures such as lists, hash-maps, strings and parsing functions for JSON or the typical dot-file based configuration data. The following list summarizes the currently supported functionality: * length delimited instead of NULL terminated strings * memory management based on reference counting * several list processing functions like iterators and map-reduce * support of [Ideal Hash Tries](http://infoscience.epfl.ch/record/64398/files/idealhashtrees.pdf) for highly efficient hash map data structures * parsers for [JSON](http://json.org) data and the text configuration files found in Unix system * doubly linked circular lists for reliable event queues * support for test and debugging of memory management problems such as memory leaks

The judyhash project provides C++ STL-style maps and sets based on unique algorithms and having unique characteristics.

This projects hosts the worlds fastest algorithms for the labeling of point-features. It especially looks for algorithms thar are free of constraints, applicable to many scenarios (e.g., visualization, maps...) and do not need any preprocessing.

Neural Network class library: Its a C/C++ implementation that provides following three neural architecture - Feed-forward network, Radial Basis function network, multi-layer perceptron and Self-Organizing Maps.

Contains various algorithms that maps short reads produced from Illumina (Solexa) Genome Analyzer, or Applied Biosystems' SOLiD System, to a reference sequence or a set of reference sequences.

Red-Black Maps and Trees, written in Java. These Classes try to advoid the overhead produced by Sun's implementations. For example Trees are just Trees, nor self mapped Maps. Access on nodelevel is possible, reducing overhead while iterating over an map

Isometric engine for 2D rendering. Supported frameworks: * SDL * XNA * easily extendable to other frameworks Features: * diamond maps of different width and height * user defined tile size (via rendering metrics) * supports 1 static tile + and any amount of movable elements per cell * z-order display * supports animated tiles * supports zooming (ability to define tilesets for different rendering metrics and switch between them) * supports multi-cell elements