فرمول شرمن–موریسون

fa

WikiRank.net
ver. 1.6

فرمول شرمن–موریسون

Quality:

Sherman–Morrison formula - Formula computing the inverse of the sum of a matrix with the outer product of two vectors. Article "فرمول شرمن–موریسون" in Persian Wikipedia has 22.5 points for quality (as of August 1, 2024). The article contains 3 references and 2 sections.

This article has the best quality in English Wikipedia. Also, this article is the most popular in that language version.

Since the creation of article "فرمول شرمن–موریسون", its content was written by 6 registered users of Persian Wikipedia and edited by 85 registered Wikipedia users in all languages.

The article is cited 3 times in Persian Wikipedia and cited 29 times in all languages.

The highest Authors Interest rank from 2001:

  • Local (Persian): #7274 in February 2013
  • Global: #134544 in August 2005

The highest popularity rank from 2008:

  • Local (Persian): #123542 in November 2015
  • Global: #270859 in October 2017

There are 4 language versions for this article in the WikiRank database (of the considered 55 Wikipedia language editions).

The quality and popularity assessment was based on Wikipédia dumps from August 1, 2024 (including revision history and pageviews for previous years).

The table below shows the language versions of the article with the highest quality.

Languages with the highest quality

#LanguageQuality gradeQuality score
1English (en)
Sherman–Morrison formula
26.4101
2German (de)
Sherman-Morrison-Woodbury-Formel
26.3701
3Persian (fa)
فرمول شرمن–موریسون
22.4996
4Polish (pl)
Wzór Shermana-Morrisona
18.5772
More...

The following table shows the most popular language versions of the article.

Most popular in all the time

The most popular language versions of the article "فرمول شرمن–موریسون" in all the time
#LanguagePopularity awardRelative popularity
1English (en)
Sherman–Morrison formula
789 732
2German (de)
Sherman-Morrison-Woodbury-Formel
41 285
3Polish (pl)
Wzór Shermana-Morrisona
4 950
4Persian (fa)
فرمول شرمن–موریسون
2 627
More...

The following table shows the language versions of the article with the highest popularity in the last month.

Most popular in July 2024

The most popular language versions of the article "فرمول شرمن–موریسون" in July 2024
#LanguagePopularity awardRelative popularity
1English (en)
Sherman–Morrison formula
4 762
2German (de)
Sherman-Morrison-Woodbury-Formel
129
3Polish (pl)
Wzór Shermana-Morrisona
10
4Persian (fa)
فرمول شرمن–موریسون
8
More...

The following table shows the language versions of the article with the highest Authors’ Interest.

The highest AI

Language versions of the article "فرمول شرمن–موریسون" with the highest Authors Interest (number of authors). Only registered Wikipedia users were taken into account.
#LanguageAI awardRelative AI
1English (en)
Sherman–Morrison formula
56
2German (de)
Sherman-Morrison-Woodbury-Formel
13
3Polish (pl)
Wzór Shermana-Morrisona
10
4Persian (fa)
فرمول شرمن–موریسون
6
More...

The following table shows the language versions of the article with the highest Authors’ Interest in the last month.

The highest AI in July 2024

Language versions of the article "فرمول شرمن–موریسون" with the highest AI in July 2024
#LanguageAI awardRelative AI
1German (de)
Sherman-Morrison-Woodbury-Formel
0
2English (en)
Sherman–Morrison formula
0
3Persian (fa)
فرمول شرمن–موریسون
0
4Polish (pl)
Wzór Shermana-Morrisona
0
More...

The following table shows the language versions of the article with the highest number of citations.

The highest CI

Language versions of the article "فرمول شرمن–موریسون" with the highest Citation Index (CI)
#LanguageCI awardRelative CI
1English (en)
Sherman–Morrison formula
21
2German (de)
Sherman-Morrison-Woodbury-Formel
3
3Persian (fa)
فرمول شرمن–موریسون
3
4Polish (pl)
Wzór Shermana-Morrisona
2
More...

Scores

Estimated value for Wikipedia:
Persian:
Global:
Popularity in July 2024:
Persian:
Global:
Popularity in all years:
Persian:
Global:
Authors in July 2024:
Persian:
Global:
Registered authors in all years:
Persian:
Global:
Citations:
Persian:
Global:

Quality measures

Interwikis

#LanguageValue
deGerman
Sherman-Morrison-Woodbury-Formel
enEnglish
Sherman–Morrison formula
faPersian
فرمول شرمن–موریسون
plPolish
Wzór Shermana-Morrisona

Popularity rank trends

Best Rank Persian:
#123542
11.2015
Global:
#270859
10.2017

AI rank trends

Best Rank Persian:
#7274
02.2013
Global:
#134544
08.2005

Local AI rank history

Languages comparison

Important global interconnections

Wikipedia readers most often find their way to information on Sherman–Morrison formula from Wikipedia articles about Woodbury matrix identity, Matrix determinant lemma, Broyden–Fletcher–Goldfarb–Shanno algorithm, Tridiagonal matrix algorithm and Broydens method. Whereas reading the article about Sherman–Morrison formula people most often go to Wikipedia articles on Woodbury matrix identity, Matrix determinant lemma, Bunch–Nielsen–Sorensen formula, Outer product and Quasi-Newton method.

Cumulative results of quality and popularity of the Wikipedia article

List of Wikipedia articles in different languages (starting with the most popular):

News from 19 March 2025

On 19 March 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: assassination of John F. Kennedy, Adolescence, Elon Musk, Gal Gadot, John F. Kennedy, Incel, Sunita Williams, deaths in 2025, ChatGPT, March 19.

In Persian Wikipedia the most popular articles on that day were: هفت‌سین, شب قدر, قمر در عقرب, معاویة بن ابی‌سفیان, سعید کاظمی آشتیانی, معاویه (مجموعه تلویزیونی), چهارشنبه‌سوری, ستایش (مجموعه تلویزیونی), اکرم امام‌اوغلو, روش‌های آمیزش جنسی.

About WikiRank

The WikiRank project is intended for automatic relative evaluation of the articles in the various language versions of Wikipedia. At the moment the service allows to compare over 44 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from August, 2024. When calculating current popularity and AI of articles data from July 2024 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information