Search Results for "graph algorithms"
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Showing 60 open source projects for "graph algorithms"
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The Algorithms Python
All Algorithms implemented in Python
The Algorithms-Python project is a comprehensive collection of Python implementations for a wide range of algorithms and data structures. It serves primarily as an educational resource for learners and developers who want to understand how algorithms work under the hood. Each implementation is designed with clarity in mind, favoring readability and comprehension over performance optimization. -
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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 different types of graph structure and performance needs. ... -
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Pythonic Data Structures and Algorithms
Minimal examples of data structures and algorithms in Python
The Pythonic Data Structures and Algorithms repository by keon is a hands-on collection of implementations of classical data structures and algorithms written in Python. It offers working, often well-commented code for many standard algorithmic problems — from sorting/searching to graph algorithms, dynamic programming, data structures, and more — making it a valuable resource for learning and reference. -
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KACTL
KTH algorithm competition template library
KACTL (the KTH Algorithmic Contest Template Library) is an extensively curated and high-performance C++ algorithms library created by the competitive programming team at the Royal Institute of Technology (KTH) to serve as a trusted, battle-tested codebase for algorithmic contests, programming competitions, and general algorithm development. The repository aggregates dozens of concise implementations of essential data structures, numerical methods, graph algorithms, string processing tools, computational geometry routines, and optimization techniques, all designed with speed, correctness, and compactness in mind. ... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Delaunator
Fast JavaScript library for Delaunay triangulation of 2D points
Delaunator is a fast library for Delaunay triangulation. It takes as input a set of points. The triangulation is represented as compact arrays of integers. It’s less convenient than other representations but is the reason the library is fast. After constructing a delaunay = Delaunator.from(points) object, it will have a triangles array and a halfedges array, both indexed by half-edge id. What’s a half-edge? A triangle edge may be shared with another triangle. Instead of thinking about each... -
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VR Paged List for C# and more
VR Paged List for C# and more
a collection of Vincent Radio {Adrix.NT} C# sources & build projects includes - Paged Lists & Iterators Library for C# - Multi Dimensional Array Library for C# - MDArray List Manager Library for C# - Adjacency (List | Matrix) Direct Graph Libs for C# - Range Check functions - VRMosaic (WinForms) - with Auto Resolver also includes - Source Files - Visual Studio Build Projects - Test Applics have fun adrixnt@hotmail.it -
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NOTE: The GROOVE codebase has moved to https://github.com/nl-utwente-groove
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calculatorpp
Calculator++
Written in C++ (using template). Calculator++ is a application/library for Window (POSIX). The core of code is adaptable for posix. This algorithm support: + built-in operator + built-in functions + run-time functions and variables definition + run-time units system, units with prefix + constants definition + Pretty mathematical expressions - Process ascii files (dev) - vector and matrix (dev) - graph 2D and 3D (dev) - vector graph (dev) ... -
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VR Paged List GXS for C++ and more ...
Paged Lists & Iterators GXS for C++ Sources by Vincent Radio {Adrix.NT
Vincent Radio {Adrix.NT} presents Paged Lists & Iterators GXS for C++ Sources by Vincent Radio {Adrix.NT} also contains - Little Docs about Paged Lists (docx, pdf) - VR Basic Common Utils Sources (Array List ...) - VR Generic Multi Dim Array Class - VR Generic MDArray List Mgr Class - VR Generic Adjacency (List | Matrix) Direct Graph Classes - VR List Interface with STL Support with some nice implementations (ArrayList, Paged-LIst) - Env Var Notes for sources for C++... -
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Foreval
Foreval is parser , compiler , evaluator of mathematical expressions
Foreval is compiler of mathematical expressions (formulas) (directly to x86-32 CPU/FPU/SSE instructions) given as string at run-time. Present as "dll" library and Delphi sources. Can be compiled in FPC (Lazarus). Can be direct connection to the program (without dll). Сurrent version ( v. 9.1.1.395B): Examples for Delphi, Lazarus , GCC (Codeblock), MSVC. Demo: Fractals Julia; Visualizing of functions of complex variable - complex domain coloring , graph plotting & finding... -
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javascript-algorithms
JavaScript implementations of computer science algorithms
javascript-algorithms is a repository that implements a comprehensive collection of classic data structures and algorithmic solutions in JavaScript — including sorting, searching, graph algorithms, dynamic programming, and more. It serves as a learning and reference resource for developers wanting to understand how standard algorithms can be expressed in JavaScript, bridging the gap between theoretical algorithm knowledge and practical implementation usable in web or Node.js contexts. ... -
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This is a method for identifying graphs using MD5 hashing. It can be used for graph equality comparisons and to facilitate graph isomorphism testing. The graphs can be labeled or unlabeled.
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Java generic API for search algorithms on graphs implicitly given by tree node expansion operator
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Pytholog
A logic programming tool and a logical database with a RESTful API
Pytholog Tool (Command line & API) An executable tool, built in python, that enables logic programming and prolog syntax through interactive shell that mimics prolog language and / or RESTful API that can be called from other applications. The tool is based on the python library pytholog which can be found here: https://github.com/mnoorfawi/pytholog The tool starts normally from the command line. Let's look at the arguments that can be specified while initiating the tool: $... -
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java-string-similarity
Implementation of various string similarity and distance algorithms
Implementation of various string similarity and distance algorithms: Levenshtein, Jaro-winkler, n-Gram, Q-Gram, Jaccard index, Longest Common Subsequence edit distance, cosine similarity. A library implementing different string similarity and distance measures. A dozen of algorithms (including Levenshtein edit distance and sibblings, Jaro-Winkler, Longest Common Subsequence, cosine similarity etc.) are currently implemented. -
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TSP Solver and Generator
Generate and solve Travelling Salesman Problem tasks
TSPSG is intended to generate and solve Travelling Salesman Problem (TSP) tasks. It uses Branch and Bound method for solving. An input is a number of cities and a matrix of city-to-city travel prices. The matrix can be populated with random values in a given range (useful for generating tasks). The result is an optimal route, its price, step-by-step matrices of solving and solving graph. The task can be saved in internal binary format and opened later. The result can be printed or saved as... -
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EntOpt Layout
Relative entropy optimization network layout plugin
The goal of this project is to implement a graph layout / network visualization algorithm as a Java plugin for Cytoscape (http://cytoscape.org/), using a recently published relative entropy optimization based method, called Unified Data Representation (Kovács IA et al. Sci Rep. 2015). If you are using the plugin, please cite: Ágg B, Császár A, Szalay-Bekő M, Veres DV, Mizsei R, Ferdinandy P, Csermely P and Kovács IA (2019) The EntOptLayout Cytoscape plug-in for the efficient visualization... -
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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. Some statistics... -
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JavaGimmicks
Utility classes, APIs and tools for Java
A set of helper and utility classes, APIs and tools for the Java Programming Language. For more details - pleas visit the project homepage. -
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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. -
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algorithms.js
Classic algorithms and data structures implemented in JavaScript
Traditional Computer Science algorithms and data structures implemented in JavaScript. Algorithms such as collatzConjecture, extendedEuclidean, fastPower, fibonacci, findDivisors, fisherYates, gcd (Greatest common divisor), greatestDifference, lcm (Least common multiple), newtonSqrt, nextPermutation, powerSet, reservoirSampling, shannonEntropy, etc. -
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Algorithms & Data Structures in C++
Algorithms & Data structures in C++
An algorithm is represented by a .h file and placed under include. (one .header file per algorithm.) The demo program for the algorithm demonstration is placed under src. (one demo per algorithm.) After the program passes correctly, please initiate Pull Requests, the code is verified and stored in the library, and the new algorithm implementation is published in the README. TAB = 4 space. set ts=4 in vim. Graph output format is Graphviz Dot format. (the output format of the graph is in dot... -
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HRDAG
Framework for Hierarchical Graph Decomposition
This is a framework used to decompose hierarchical graphs, i.e.,graphs which were created from or contain a hierarchy of modules. Each module is reused several times in the hierarchy. This may be useful to reverse-engineer human constructs like electronic equipment, manufactured machines, or bureaucratic hierarchies; but also to decompose natural constructs like gene-relation or protein-relation nets. -
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Graphal
Graph algorithms interpreter, IDE, debugger, 3D visualizations.
Graphal is an interpreter of a programming language that is mainly oriented to graph algorithms. There is a command line interpreter and a graphical integrated development environment. The IDE contains text editor for programmers, compilation and script output, advanced debugger and visualization window. The progress of the interpreted and debugged graph algorithm can be displayed in 3D scene. -
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Approximate Subgraph Matching Algorithm
Approximate Subgraph Matching Algorithm for Dependency Graphs
The subgraph matching problem (subgraph isomorphism) is NP-complete. Previously, we designed an exact subgraph matching (ESM) algorithm for dependency graphs using a backtracking approach (http://esmalgorithm.sourceforge.net). We further designed an approximate subgraph matching (ASM) algorithm that is capable of detecting approximate subgraph matching based on a subgraph distance. Assume that the graph G and the subgraph Gs have m and n vertices, and km and kn edges respectively,...