"linearithmic" meaning in All languages combined

{
  "etymology_templates": [
    {
      "args": {
        "1": "en",
        "2": "linear",
        "3": "logarithmic"
      },
      "expansion": "Blend of linear + logarithmic",
      "name": "blend"
    }
  ],
  "etymology_text": "Blend of linear + logarithmic.",
  "head_templates": [
    {
      "args": {
        "1": "-"
      },
      "expansion": "linearithmic (not comparable)",
      "name": "en-adj"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "adj",
  "senses": [
    {
      "categories": [
        {
          "kind": "other",
          "name": "English blends",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "English entries with incorrect language header",
          "parents": [
            "Entries with incorrect language header",
            "Entry maintenance"
          ],
          "source": "w"
        },
        {
          "kind": "topical",
          "langcode": "en",
          "name": "Computer science",
          "orig": "en:Computer science",
          "parents": [
            "Computing",
            "Sciences",
            "Technology",
            "All topics",
            "Fundamental"
          ],
          "source": "w"
        }
      ],
      "glosses": [
        "Taking up to time proportional to n log(n) to run on inputs of size n."
      ],
      "id": "en-linearithmic-en-adj-WSFIrfG3",
      "links": [
        [
          "computer science",
          "computer science"
        ],
        [
          "procedure",
          "procedure"
        ]
      ],
      "raw_glosses": [
        "(computer science, of a procedure) Taking up to time proportional to n log(n) to run on inputs of size n."
      ],
      "raw_tags": [
        "of a procedure"
      ],
      "related": [
        {
          "word": "time complexity"
        }
      ],
      "synonyms": [
        {
          "word": "quasilinear"
        }
      ],
      "tags": [
        "not-comparable"
      ],
      "topics": [
        "computer",
        "computing",
        "engineering",
        "mathematics",
        "natural-sciences",
        "physical-sciences",
        "science",
        "sciences"
      ]
    }
  ],
  "sounds": [
    {
      "ipa": "/ˌlɪni.əˈɹɪðmɪk/"
    }
  ],
  "word": "linearithmic"
}

{
  "etymology_templates": [
    {
      "args": {
        "1": "en",
        "2": "linear",
        "3": "logarithmic"
      },
      "expansion": "Blend of linear + logarithmic",
      "name": "blend"
    }
  ],
  "etymology_text": "Blend of linear + logarithmic.",
  "head_templates": [
    {
      "args": {
        "1": "-"
      },
      "expansion": "linearithmic (not comparable)",
      "name": "en-adj"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "adj",
  "related": [
    {
      "word": "time complexity"
    }
  ],
  "senses": [
    {
      "categories": [
        "English 5-syllable words",
        "English adjectives",
        "English blends",
        "English entries with incorrect language header",
        "English lemmas",
        "English terms with IPA pronunciation",
        "English uncomparable adjectives",
        "en:Computer science"
      ],
      "glosses": [
        "Taking up to time proportional to n log(n) to run on inputs of size n."
      ],
      "links": [
        [
          "computer science",
          "computer science"
        ],
        [
          "procedure",
          "procedure"
        ]
      ],
      "raw_glosses": [
        "(computer science, of a procedure) Taking up to time proportional to n log(n) to run on inputs of size n."
      ],
      "raw_tags": [
        "of a procedure"
      ],
      "tags": [
        "not-comparable"
      ],
      "topics": [
        "computer",
        "computing",
        "engineering",
        "mathematics",
        "natural-sciences",
        "physical-sciences",
        "science",
        "sciences"
      ]
    }
  ],
  "sounds": [
    {
      "ipa": "/ˌlɪni.əˈɹɪðmɪk/"
    }
  ],
  "synonyms": [
    {
      "word": "quasilinear"
    }
  ],
  "word": "linearithmic"
}