"tensorization" meaning in All languages combined

{
  "forms": [
    {
      "form": "tensorizations",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {
        "1": "~"
      },
      "expansion": "tensorization (countable and uncountable, plural tensorizations)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "senses": [
    {
      "categories": [
        {
          "kind": "other",
          "name": "English entries with incorrect language header",
          "parents": [
            "Entries with incorrect language header",
            "Entry maintenance"
          ],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "Pages with 1 entry",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "Pages with entries",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "topical",
          "langcode": "en",
          "name": "Mathematics",
          "orig": "en:Mathematics",
          "parents": [
            "Formal sciences",
            "Sciences",
            "All topics",
            "Fundamental"
          ],
          "source": "w"
        }
      ],
      "examples": [
        {
          "ref": "2015, Xiugang Wu, Ayfer Ozgur, “Cut-Set Bound Is Loose for Gaussian Relay Networks”, in arXiv:",
          "text": "Combined with a simple tensorization argument proposed by Courtade and Ozgur in 2015, our result also implies that the current capacity approximations for Gaussian relay networks, which have linear gap to the cut-set bound in the number of nodes, are order-optimal and leads to a lower bound on the pre-constant..",
          "type": "quote"
        }
      ],
      "glosses": [
        "evaluation in terms of tensors"
      ],
      "id": "en-tensorization-en-noun-kZowUgyI",
      "links": [
        [
          "mathematics",
          "mathematics"
        ],
        [
          "evaluation",
          "evaluation"
        ],
        [
          "tensor",
          "tensor"
        ]
      ],
      "raw_glosses": [
        "(mathematics) evaluation in terms of tensors"
      ],
      "related": [
        {
          "word": "tensorize"
        }
      ],
      "tags": [
        "countable",
        "uncountable"
      ],
      "topics": [
        "mathematics",
        "sciences"
      ]
    }
  ],
  "word": "tensorization"
}

{
  "forms": [
    {
      "form": "tensorizations",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {
        "1": "~"
      },
      "expansion": "tensorization (countable and uncountable, plural tensorizations)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "related": [
    {
      "word": "tensorize"
    }
  ],
  "senses": [
    {
      "categories": [
        "English countable nouns",
        "English entries with incorrect language header",
        "English lemmas",
        "English nouns",
        "English terms with quotations",
        "English uncountable nouns",
        "Pages with 1 entry",
        "Pages with entries",
        "en:Mathematics"
      ],
      "examples": [
        {
          "ref": "2015, Xiugang Wu, Ayfer Ozgur, “Cut-Set Bound Is Loose for Gaussian Relay Networks”, in arXiv:",
          "text": "Combined with a simple tensorization argument proposed by Courtade and Ozgur in 2015, our result also implies that the current capacity approximations for Gaussian relay networks, which have linear gap to the cut-set bound in the number of nodes, are order-optimal and leads to a lower bound on the pre-constant..",
          "type": "quote"
        }
      ],
      "glosses": [
        "evaluation in terms of tensors"
      ],
      "links": [
        [
          "mathematics",
          "mathematics"
        ],
        [
          "evaluation",
          "evaluation"
        ],
        [
          "tensor",
          "tensor"
        ]
      ],
      "raw_glosses": [
        "(mathematics) evaluation in terms of tensors"
      ],
      "tags": [
        "countable",
        "uncountable"
      ],
      "topics": [
        "mathematics",
        "sciences"
      ]
    }
  ],
  "word": "tensorization"
}