Search Results for "path-movement"
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Showing 19 open source projects for "path-movement"
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Grey Wolf Optimizer for Path Planning
Grey Wolf Optimizer (GWO) path planning/trajectory
The Grey Wolf Optimizer for Path Planning is a MATLAB-based implementation of the Grey Wolf Optimizer (GWO) algorithm designed for UAV path and trajectory planning. It allows simulation of both two-dimensional and three-dimensional UAV trajectory planning depending on parameter setups. The tool provides built-in functions to configure different UAV environments and supports multiple optimization objectives. -
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ngraph.path
Path finding in a graph
ngraph.path is a JavaScript library that implements efficient pathfinding algorithms for graphs, primarily designed to compute shortest paths in weighted or unweighted networks. 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... -
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JCTools
Java Concurrency Tools for the JVM
...JCTools is also used by commercial products with great results. JCTools is maven built and requires an existing Maven installation and JDK8 (only for building, runtime is 1.6 compliant). With ‘MAVEN_HOME/bin’ on the path and JDK8 set to your ‘JAVA_HOME’ you should be able to run “mvn install” from this directory. While you are free to copy & extend JCTools, we would much prefer it if you have a versioned dependency on JCTools to enable better support, upgrade paths and discussion. -
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D-List
An extensive list subsystem, written in C
...D-List lists can also be easily incorporated as primitives into larger treed, or nested data management systems. D-List implements a comprehensive set of linked list primitives that provides multiple forms of both sequential and random element access, bi-directional movement within a list, and an extensive set of list and element manipulation and reordering features. It also provides for an expansive set of user functions that can be added to lists and called automatically, to efficiently implement a broad range of services using the list primitives as underlying technology. It was written primarily for accuracy and speed, and provides extensive debugging support for easy code development. -
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Java generic API for search algorithms on graphs implicitly given by tree node expansion operator
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interactive-coding-challenges
120+ interactive Python coding interview challenges
...Many challenges include hints and reference solutions so you can compare approaches and learn idiomatic patterns. The structure encourages incremental improvement—start with a brute-force idea, then refine to optimal time and space complexity. It serves both as a self-study path and as a warm-up bank for interview prep or coding katas. -
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PythonRobotics
Python sample codes and textbook for robotics algorithms
PythonRobotics is a Python code collection and textbook for learning robotics algorithms through readable examples. It covers practical topics such as localization, mapping, path planning, path tracking, control, SLAM, and autonomous navigation. The project is written to make each algorithm’s core idea easy to understand, rather than hiding the logic behind large frameworks. It keeps dependencies minimal so learners can focus on the math, implementation, and behavior of each robotics method. Visual examples and simulations help users see how algorithms move, estimate, plan, and react. ... -
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CoRoPa stands for Computational Rough Paths. The aim of CoRoPa is to provide a software framework for various ideas related to Rough Path Theory, including rough differential equations and the digital description of serial data streams.
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Algorithms in Python
Data Structures and Algorithms in Python
Algorithms in Python is a collection of algorithm and data structure implementations (primarily in Python) meant to serve as both learning material and reference code for engineers. It includes code for graph algorithms, heap data structures, stacks, queues, and more — each implemented cleanly so learners can trace logic and adapt for their problems. The repository is particularly useful for people preparing for competitive programming, job interviews, or building a foundational... -
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MDA
Molecular Dynamics Analyzer (MDA)
...It is capable of minimizing the systematic error that occurs with astigmatism-based 3D techniques owing to the aberrations induced by the refractive index mismatch. In contrast to existing techniques, the method determines the aberration directly from the acquired 2D image stream by exploiting the inherent particle movement and the redundancy introduced by the astigmatism. It does not require additional experimental effort for the user and imaging can directly be started once interesting regions in the sample have been identified. MDA is written in MATLAB and comes with a graphical user interface. The particle fitting routine is provided by an external library written in C. ... -
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ImpPath
Simple C++ library for path manipulation
Very basic path manipulation library. Aims to be simple, intuitive and predictable (not universal). Works with std::string and std::wstring. Configurable to support both POSIX and Windows paths (drive letters only - no schemas, network paths etc), as well as some custom formats (with limitations for simplicity). All configurations understand ".." -
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php-url-extractor
List al URLs present in requested URL in absolute format
This php program extracts all URLs present on the requested URL, in absolute path. -
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The Open Optimization for Java provides a framework and the implementation of commonly-used algorithms found in Graph Theory and Network Optimization, e.g. shortest path and postman problem.
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PyPlayground is an environment for developing algorithms involving movement in a space of up to three dimensions using Python.
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Plantra-Trajectory Planning is a software to rebuild surfaces from cloud points, featuring shaded 3D visualization and path planning for robotics paths. It uses Voronoi diagram, Cyrus-Beck clipping, Delaunay triangulation and B-Splines.
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CoPP is an object-oriented framework for developing algorithms for robot path planning. One of of the design goals is to make it easy to make comparisons between various path planning algorithms.
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This project aim to provide a crowd movement simulation based on primitive human behaviours and emerging behaviours for research and educational purposes. The application (front-end) is generic and can be reused.
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