懲罰函數法

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懲罰函數法

Quality:

Penalty method - type of algorithm for constrained optimization. Article “懲罰函數法” in Chinese Wikipedia has 15.5 points for quality (as of July 1, 2025). The article contains 2 references and 5 sections.

This article has the best quality in Ukrainian Wikipedia. However, the most popular language version of this article is English.

Since the creation of article “懲罰函數法”, its content was written by 5 registered users of Chinese Wikipedia and edited by 69 registered Wikipedia users in all languages.

The article is cited 2 times in Chinese Wikipedia and cited 334 times in all languages.

The highest Authors Interest rank from 2001:

  • Local (Chinese): #65987 in November 2018
  • Global: #128404 in February 2011

The highest popularity rank from 2008:

  • Local (Chinese): #115775 in March 2022
  • Global: #365651 in April 2015

There are 7 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 July 1, 2025 (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
1Ukrainian (uk)
Метод штрафів
22.4541
2Russian (ru)
Метод штрафов
21.1982
3English (en)
Penalty method
20.7784
4French (fr)
Pénalisation (optimisation)
18.9782
5Japanese (ja)
ペナルティ関数法
18.3607
6Chinese (zh)
懲罰函數法
15.5207
7Persian (fa)
روش پنالتی
4.2556
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 "懲罰函數法" in all the time
#LanguagePopularity awardRelative popularity
1English (en)
Penalty method
460 373
2Russian (ru)
Метод штрафов
48 136
3French (fr)
Pénalisation (optimisation)
34 989
4Chinese (zh)
懲罰函數法
27 702
5Persian (fa)
روش پنالتی
16 168
6Ukrainian (uk)
Метод штрафів
1 127
7Japanese (ja)
ペナルティ関数法
511
More...

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

Most popular in June 2025

The most popular language versions of the article "懲罰函數法" in June 2025
#LanguagePopularity awardRelative popularity
1English (en)
Penalty method
1 594
2Chinese (zh)
懲罰函數法
143
3Japanese (ja)
ペナルティ関数法
122
4Russian (ru)
Метод штрафов
110
5French (fr)
Pénalisation (optimisation)
84
6Ukrainian (uk)
Метод штрафів
36
7Persian (fa)
روش پنالتی
16
More...

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

The highest AI

Language versions of the article "懲罰函數法" with the highest Authors Interest (number of authors). Only registered Wikipedia users were taken into account.
#LanguageAI awardRelative AI
1English (en)
Penalty method
33
2Russian (ru)
Метод штрафов
13
3French (fr)
Pénalisation (optimisation)
10
4Persian (fa)
روش پنالتی
6
5Chinese (zh)
懲罰函數法
5
6Japanese (ja)
ペナルティ関数法
1
7Ukrainian (uk)
Метод штрафів
1
More...

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

The highest AI in June 2025

Language versions of the article "懲罰函數法" with the highest AI in June 2025
#LanguageAI awardRelative AI
1English (en)
Penalty method
0
2Persian (fa)
روش پنالتی
0
3French (fr)
Pénalisation (optimisation)
0
4Japanese (ja)
ペナルティ関数法
0
5Russian (ru)
Метод штрафов
0
6Ukrainian (uk)
Метод штрафів
0
7Chinese (zh)
懲罰函數法
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 "懲罰函數法" with the highest Citation Index (CI)
#LanguageCI awardRelative CI
1English (en)
Penalty method
118
2Japanese (ja)
ペナルティ関数法
105
3French (fr)
Pénalisation (optimisation)
45
4Persian (fa)
روش پنالتی
40
5Ukrainian (uk)
Метод штрафів
15
6Russian (ru)
Метод штрафов
9
7Chinese (zh)
懲罰函數法
2
More...

Scores

Estimated value for Wikipedia:
Chinese:
Global:
Popularity in June 2025:
Chinese:
Global:
Popularity in all years:
Chinese:
Global:
Authors in June 2025:
Chinese:
Global:
Registered authors in all years:
Chinese:
Global:
Citations:
Chinese:
Global:

Quality measures

Interwikis

#LanguageValue
enEnglish
Penalty method
faPersian
روش پنالتی
frFrench
Pénalisation (optimisation)
jaJapanese
ペナルティ関数法
ruRussian
Метод штрафов
ukUkrainian
Метод штрафів
zhChinese
懲罰函數法

Popularity rank trends

Best Rank Chinese:
#115775
03.2022
Global:
#365651
04.2015

AI rank trends

Best Rank Chinese:
#65987
11.2018
Global:
#128404
02.2011

Languages comparison

Important global interconnections (July 2024 – June 2025)

Wikipedia readers most often find their way to information on Penalty method from Wikipedia articles about Augmented Lagrangian method, Barrier function, Constrained optimization, Interior point method and Lagrangian relaxation. Whereas reading the article about Penalty method people most often go to Wikipedia articles on Augmented Lagrangian method, Barrier function, Constrained optimization, Sequential quadratic programming and Interior point 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 9 December 2025

On 9 December 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Stranger Things, 2026 FIFA World Cup, Lando Norris, Millie Bobby Brown, Sean Combs, It: Welcome to Derry, ChatGPT, Zootopia 2, deaths in 2025, Cassie Ventura.

In Chinese Wikipedia the most popular articles on that day were: 越南屠夫事件, CORTIS, 方國珊, 白天辉, 习近平, 認罪之罪, 王洪文, 動物方城市2, 趙雨凡, 宏福苑大火.

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 July, 2025. When calculating current popularity and AI of articles data from June 2025 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2025... More information