Search Results for "path"
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Showing 20 open source projects for "path"
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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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hello-algorithm
Algorithm training for Xiaobai
hello-algorithm is an educational repository designed to teach data structures and algorithms through clear explanations, visualizations, and code examples. It provides a structured learning path that covers fundamental concepts such as arrays, linked lists, trees, graphs, sorting algorithms, and dynamic programming. The project emphasizes understanding over memorization by breaking down complex topics into intuitive explanations supported by diagrams and examples. It is accessible to learners at different levels, from beginners to more advanced users who want to reinforce their knowledge. ... -
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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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Path Finder Qt
finds the sortest path on the square board. GUI is implemented in Qt.
The program demonstrates the usage of the A* algorithm to find the shortest path. It searches the shortest path between source piece and target piece on the rectangular board. On the board the obstacles (wall) can be constructed. In addition to the algorithm, the GUI is provided. The GUI is written in Qt. Using the GUI, one can construct and move interactively the obstacles on the board. For every modification of the board, the shortest path is calculated automatically. ... -
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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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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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Graphserver provides fast shortest-path computations on very large graphs, for use as a sub-component of a trip-planning service.
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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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An easy to extend, highly graphical, easy to use 2D robot simulator specialized for path planning algorithms. Can be used in testing various robotic algorithms, and already used for comparison of path planning algorithms like RRT, RRTConnect, PRM, RboT..
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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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It's an implementation of the A* algorithm together with a grid processor which pre-processes 8-bit bpm graphic files using a variable resolution and an SDL user interface to test it.
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