algoritmia


Namealgoritmia JSON
Version 3.1.4 PyPI version JSON
download
home_pageNone
SummaryA library of algorithms and data structures. Used in course EI1022/MT122 (Universitat Jaume I de Castelló)
upload_time2024-09-30 15:25:37
maintainerNone
docs_urlNone
authorDavid Llorens - Andrés Marzal
requires_python>=3.12
licenseGNU Affero General Public License v3
keywords data structures greedy divide and conquer dynamic programming branch and bound
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Biblioteca *algoritmia*

Implementada en Python 3. Necesita Python 3.12 o superior.

Utilizada en dos asignaturas de la Universitat Jaume I de Castelló:
* EI1022: Grado en Ingeniería Informática.
* MT1022: Grado en Matemática Computacional.

##  Contenido

Estructuras de datos:
  * Colas: Fifo, Lifo
  * Listas enlazadas: LinkedList
  * Grafos: Digraph, UndirectedGraph
  * Montículos: MinHeap, MaxHeap
  * Diccionarios de prioridad: MinHeapMap, MaxHeapMap
  * Conjuntos disjuntos: MFSet

Algoritmos sobre grafos:
  * Recorridos de vértices y aristas
  * Componentes conexos
  * Árbol de recubrimiento mínimo
  * Camino más corto
  * Algoritmo de Dijkstra

Esquemas algorítmicos:
  * Búsqueda con retroceso (*backtracking*)
  * Ramificación y acotación (*brand and bound*)
  * Divide y vencerás (*divide and conquer*)
  * Reduce y vencerás (*reduce and conquer*)

Problemas:
  * Mochila (*Knapsack*)
  * Cambio de moneda (*Coin change*)
  * Empaquetado (*Bin packing*)
  * Viajante (*Travelling salesman*)
  * N-reinas (*N-queens*)
  * Coloreado de grafos (*Graph coloring*)
  * Voraces exactos: MST (Kruskal y Prim), mochila fraccionaria

            

Raw data

            {
    "_id": null,
    "home_page": null,
    "name": "algoritmia",
    "maintainer": null,
    "docs_url": null,
    "requires_python": ">=3.12",
    "maintainer_email": "David Llorens <dllorens@uji.es>",
    "keywords": "data structures, greedy, divide and conquer, dynamic programming, branch and bound",
    "author": "David Llorens - Andr\u00e9s Marzal",
    "author_email": null,
    "download_url": "https://files.pythonhosted.org/packages/11/b0/e496881b4ad21e4994cb94ea7547fe603e8e2d3516ccd4a68fbee3754436/algoritmia-3.1.4.tar.gz",
    "platform": null,
    "description": "# Biblioteca *algoritmia*\n\nImplementada en Python 3. Necesita Python 3.12 o superior.\n\nUtilizada en dos asignaturas de la Universitat Jaume I de Castell\u00f3:\n* EI1022: Grado en Ingenier\u00eda Inform\u00e1tica.\n* MT1022: Grado en Matem\u00e1tica Computacional.\n\n##  Contenido\n\nEstructuras de datos:\n  * Colas: Fifo, Lifo\n  * Listas enlazadas: LinkedList\n  * Grafos: Digraph, UndirectedGraph\n  * Mont\u00edculos: MinHeap, MaxHeap\n  * Diccionarios de prioridad: MinHeapMap, MaxHeapMap\n  * Conjuntos disjuntos: MFSet\n\nAlgoritmos sobre grafos:\n  * Recorridos de v\u00e9rtices y aristas\n  * Componentes conexos\n  * \u00c1rbol de recubrimiento m\u00ednimo\n  * Camino m\u00e1s corto\n  * Algoritmo de Dijkstra\n\nEsquemas algor\u00edtmicos:\n  * B\u00fasqueda con retroceso (*backtracking*)\n  * Ramificaci\u00f3n y acotaci\u00f3n (*brand and bound*)\n  * Divide y vencer\u00e1s (*divide and conquer*)\n  * Reduce y vencer\u00e1s (*reduce and conquer*)\n\nProblemas:\n  * Mochila (*Knapsack*)\n  * Cambio de moneda (*Coin change*)\n  * Empaquetado (*Bin packing*)\n  * Viajante (*Travelling salesman*)\n  * N-reinas (*N-queens*)\n  * Coloreado de grafos (*Graph coloring*)\n  * Voraces exactos: MST (Kruskal y Prim), mochila fraccionaria\n",
    "bugtrack_url": null,
    "license": "GNU Affero General Public License v3",
    "summary": "A library of algorithms and data structures. Used in course EI1022/MT122 (Universitat Jaume I de Castell\u00f3)",
    "version": "3.1.4",
    "project_urls": {
        "Source": "https://github.com/DavidLlorens/algoritmia",
        "changelog": "https://github.com/DavidLlorens/algoritmia/blob/main/CHANGELOG.md",
        "homepage": "https://github.com/DavidLlorens/algoritmia"
    },
    "split_keywords": [
        "data structures",
        " greedy",
        " divide and conquer",
        " dynamic programming",
        " branch and bound"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "759658e078d10e069f5785d68ed8695c2e876c80a8217b14e8b144812dbffaf7",
                "md5": "9fcc769203dcacf3f2a9a297ab41b6c0",
                "sha256": "15a4bf84122d034cfbebcb667e9f4b7ffc8375edfc6cb07573d49a0a1349a505"
            },
            "downloads": -1,
            "filename": "algoritmia-3.1.4-py3-none-any.whl",
            "has_sig": false,
            "md5_digest": "9fcc769203dcacf3f2a9a297ab41b6c0",
            "packagetype": "bdist_wheel",
            "python_version": "py3",
            "requires_python": ">=3.12",
            "size": 102721,
            "upload_time": "2024-09-30T15:25:35",
            "upload_time_iso_8601": "2024-09-30T15:25:35.801062Z",
            "url": "https://files.pythonhosted.org/packages/75/96/58e078d10e069f5785d68ed8695c2e876c80a8217b14e8b144812dbffaf7/algoritmia-3.1.4-py3-none-any.whl",
            "yanked": false,
            "yanked_reason": null
        },
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "11b0e496881b4ad21e4994cb94ea7547fe603e8e2d3516ccd4a68fbee3754436",
                "md5": "30524cd5fc489592d2196e56d2a779f5",
                "sha256": "d8d08a1f9fc695ff449fffba305ce75755e714bc8cd966729d662911713ab648"
            },
            "downloads": -1,
            "filename": "algoritmia-3.1.4.tar.gz",
            "has_sig": false,
            "md5_digest": "30524cd5fc489592d2196e56d2a779f5",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": ">=3.12",
            "size": 83315,
            "upload_time": "2024-09-30T15:25:37",
            "upload_time_iso_8601": "2024-09-30T15:25:37.115992Z",
            "url": "https://files.pythonhosted.org/packages/11/b0/e496881b4ad21e4994cb94ea7547fe603e8e2d3516ccd4a68fbee3754436/algoritmia-3.1.4.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-09-30 15:25:37",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "DavidLlorens",
    "github_project": "algoritmia",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "lcname": "algoritmia"
}
        
Elapsed time: 3.85473s