Language Translated Unfinished Unfinished words Unfinished characters Untranslated Checks Suggestions Comments
English MPL-2.0 0 0 0 0 0 0 0
Abkhazian MPL-2.0 46% 26 638 4,010 26 0 0 0
Afrikaans MPL-2.0 0 0 0 0 0 0 0
Albanian MPL-2.0 22% 38 615 3,908 37 0 0 0
Amharic MPL-2.0 97% 1 59 404 1 11 0 0
Angika MPL-2.0 0% 49 703 4,556 49 0 0 0
Arabic MPL-2.0 0 0 0 0 0 0 0
Aragonese MPL-2.0 2% 48 702 4,549 48 0 0 0
Armenian MPL-2.0 0 0 0 0 0 0 0
Armenian, Classical (Armenia) (xcl) MPL-2.0 0% 49 703 4,556 49 0 0 0
Assamese MPL-2.0 97% 1 59 404 1 0 0 0
Asturian MPL-2.0 0 0 0 0 0 0 0
axm (generated) (axm) MPL-2.0 0% 49 703 4,556 49 0 0 0
Azerbaijani MPL-2.0 2% 48 702 4,549 48 0 0 0
Bambara MPL-2.0 0% 49 703 4,556 49 0 0 0
Basque MPL-2.0 0 0 0 0 0 0 0
Bavarian MPL-2.0 0% 49 703 4,556 49 0 0 0
Belarusian MPL-2.0 36% 31 577 3,654 5 0 0 0
Bengali MPL-2.0 2% 48 702 4,549 44 0 0 0
Bengali (India) MPL-2.0 97% 1 59 404 1 5 0 0
Bodo MPL-2.0 2% 48 702 4,549 48 0 0 0
Bosnian MPL-2.0 97% 1 59 404 1 0 0 0
Breton MPL-2.0 97% 1 59 404 1 0 0 0
Bulgarian MPL-2.0 0 0 0 0 0 0 0
Burmese MPL-2.0 6% 46 697 4,516 46 0 0 0
Catalan MPL-2.0 0 0 0 0 0 0 0
Catalan (ca_VALENCIA) MPL-2.0 0 0 0 0 0 0 0
Chechen MPL-2.0 0% 49 703 4,556 48 0 0 0
Cherokee MPL-2.0 0% 49 703 4,556 49 0 0 0
Chinese (Simplified Han script) MPL-2.0 0 0 0 0 0 0 0
Chinese (Traditional Han script) MPL-2.0 0 0 0 0 0 0 0
Cornish MPL-2.0 0% 49 703 4,556 49 0 0 0
Croatian MPL-2.0 0 0 0 0 0 0 0
Czech MPL-2.0 0 0 0 0 0 0 0
Danish MPL-2.0 0 0 0 0 0 0 0
Dogri (dgo) MPL-2.0 6% 46 662 4,284 46 1 0 0
Dutch MPL-2.0 0 0 0 0 0 0 0
Dzongkha MPL-2.0 2% 48 702 4,549 46 0 0 0
English (Australia) MPL-2.0 0% 49 703 4,556 49 0 0 0
English (South Africa) MPL-2.0 2% 48 702 4,549 46 0 0 0
English (United Kingdom) MPL-2.0 0 0 0 0 0 0 0
Esperanto MPL-2.0 0 0 0 0 0 0 0
Estonian MPL-2.0 97% 1 59 404 1 0 0 0
Finnish MPL-2.0 97% 1 59 404 1 0 0 0
French MPL-2.0 0 0 0 0 0 0 0
Frisian MPL-2.0 97% 1 59 404 1 0 0 0
Friulian MPL-2.0 18% 40 622 3,992 40 0 0 0
Gaelic MPL-2.0 97% 1 59 404 1 44 0 0
Galician MPL-2.0 0 0 0 0 0 0 0
Garhwali MPL-2.0 0% 49 703 4,556 49 0 0 0
Georgian MPL-2.0 0 0 0 0 0 0 0
German MPL-2.0 0 0 0 0 0 0 0
Greek MPL-2.0 0 0 0 0 0 0 0
Greenlandic MPL-2.0 2% 48 702 4,549 48 0 0 0
Guadeloupean Creole, French (gcf) MPL-2.0 0% 49 703 4,556 49 0 0 0
Guaraní (Paraguayan) MPL-2.0 4% 47 700 4,534 46 0 0 0
Gujarati MPL-2.0 97% 1 59 404 1 2 0 0
Haitian MPL-2.0 0% 49 703 4,556 49 0 0 0
Hausa MPL-2.0 0% 49 703 4,556 49 0 0 0
Hebrew MPL-2.0 97% 1 59 404 1 0 0 0
Hindi MPL-2.0 93% 3 118 786 3 0 0 0
Hungarian MPL-2.0 0 0 0 0 0 0 0
hye (generated) (hye) MPL-2.0 0% 49 703 4,556 49 0 0 0
hyw (generated) (hyw) MPL-2.0 0% 49 703 4,556 49 0 0 0
Icelandic MPL-2.0 30% 34 661 4,194 34 0 0 0
Igbo MPL-2.0 0% 49 703 4,556 49 0 0 0
Indonesian MPL-2.0 0 0 0 0 0 0 0
Interlingua MPL-2.0 0% 49 703 4,556 49 0 0 0
Inuktitut MPL-2.0 0% 49 703 4,556 49 0 0 0
Irish MPL-2.0 97% 1 59 404 1 0 0 0
Italian MPL-2.0 0 0 0 0 0 0 0
Japanese MPL-2.0 97% 1 59 404 1 0 0 0
Javanese MPL-2.0 2% 48 702 4,549 48 0 0 0
Kabyle MPL-2.0 97% 1 59 404 1 4 0 0
Kannada MPL-2.0 97% 1 59 404 1 1 0 0
Kashmiri MPL-2.0 2% 48 702 4,549 48 0 0 0
Kashubian MPL-2.0 0% 49 703 4,556 49 0 0 0
Kazakh MPL-2.0 0 0 0 0 0 0 0
Khmer (Central) MPL-2.0 97% 1 59 404 1 25 0 0
Kinyarwanda MPL-2.0 2% 48 702 4,549 48 0 0 0
Konkani MPL-2.0 4% 47 700 4,534 47 0 0 0
Korean MPL-2.0 97% 1 59 404 1 0 0 0
Kurdish (Central) MPL-2.0 0% 49 703 4,556 49 0 0 0
Kurdish (Northern) (kmr_LATN) MPL-2.0 2% 48 702 4,549 46 0 0 0
Kyrgyz MPL-2.0 0% 49 703 4,556 49 0 0 0
Lao MPL-2.0 97% 1 59 404 1 8 0 0
Latvian MPL-2.0 97% 1 59 404 1 0 0 0
Lithuanian MPL-2.0 77% 11 380 2,306 11 0 0 0
Lower Sorbian MPL-2.0 0 0 0 0 0 0 0
Luganda MPL-2.0 0% 49 703 4,556 49 0 0 0
Luxembourgish MPL-2.0 2% 48 702 4,549 48 0 0 0
Macedonian MPL-2.0 2% 48 702 4,549 47 0 0 0
Maithili MPL-2.0 2% 48 702 4,549 48 0 0 0
Malay MPL-2.0 0% 49 703 4,556 49 0 0 0
Malayalam MPL-2.0 97% 1 59 404 1 5 0 0
Maltese MPL-2.0 0% 49 703 4,556 49 0 0 0
Manipuri MPL-2.0 2% 48 702 4,549 47 0 0 0
Marathi MPL-2.0 97% 1 59 404 1 0 0 0
Mongolian MPL-2.0 97% 1 59 404 1 0 0 0
Nahuatl MPL-2.0 0% 49 703 4,556 49 0 0 0
Ndebele (Southern) MPL-2.0 0% 49 703 4,556 47 0 0 0
Nepali MPL-2.0 12% 43 693 4,494 42 0 0 0
N’Ko MPL-2.0 2% 48 702 4,549 48 0 0 0
Norwegian Bokmål MPL-2.0 0 0 0 0 0 0 0
Norwegian Nynorsk MPL-2.0 0 0 0 0 0 0 0
Occitan MPL-2.0 97% 1 59 404 1 0 0 0
Odia MPL-2.0 97% 1 59 404 1 0 0 0
Oromo MPL-2.0 2% 48 702 4,549 46 0 0 0
Papiamento (pap_CW) MPL-2.0 0% 49 703 4,556 49 0 0 0
Pedi MPL-2.0 2% 48 702 4,549 46 0 0 0
Pennsylvania Dutch (pdc) MPL-2.0 0% 49 703 4,556 49 0 0 0
Persian MPL-2.0 22% 38 616 3,954 36 0 0 0
Polish MPL-2.0 0 0 0 0 0 0 0
Portuguese MPL-2.0 0 0 0 0 0 0 0
Portuguese (Brazil) MPL-2.0 0 0 0 0 0 0 0
Punjabi MPL-2.0 69% 15 430 2,649 15 0 0 0
Romanian MPL-2.0 97% 1 59 404 1 0 0 0
Russian MPL-2.0 0 0 0 0 0 0 0
Sanskrit (sa_IN) MPL-2.0 6% 46 662 4,284 46 0 0 0
Santali MPL-2.0 8% 45 641 4,152 45 1 0 0
Santali (Ol Chiki) (sat-Olck) MPL-2.0 0% 49 703 4,556 49 0 0 0
Saraiki MPL-2.0 0% 49 703 4,556 49 0 0 0
Serbian MPL-2.0 0 0 0 0 0 0 0
Serbian (Latin script) MPL-2.0 67% 16 439 2,697 14 0 0 0
Sesotho (Lesotho) (st-LS) MPL-2.0 0% 49 703 4,556 49 0 0 0
Sidamo MPL-2.0 97% 1 59 404 1 0 0 0
Silesian MPL-2.0 97% 1 59 404 1 0 0 0
Sindhi MPL-2.0 4% 47 700 4,534 47 1 0 0
Sinhala MPL-2.0 6% 46 697 4,516 46 0 0 0
Slovak MPL-2.0 0 0 0 0 0 0 0
Slovenian MPL-2.0 97% 1 59 404 1 0 0 0
Sotho (Southern) MPL-2.0 0% 49 703 4,556 47 0 0 0
Spanish MPL-2.0 0 0 0 0 0 0 0
Sundanese MPL-2.0 0 0 0 0 0 0 0
Swahili (Tanzania) MPL-2.0 2% 48 702 4,549 48 0 0 0
Swati MPL-2.0 0% 49 703 4,556 47 0 0 0
Swedish MPL-2.0 0 0 0 0 0 0 0
Tagalog MPL-2.0 0 0 0 0 0 0 0
Tajik MPL-2.0 2% 48 702 4,549 48 0 0 0
Tamil MPL-2.0 97% 1 59 404 1 0 0 0
Tatar MPL-2.0 4% 47 699 4,534 47 0 0 0
Telugu MPL-2.0 97% 1 59 404 1 0 0 0
Thai MPL-2.0 12% 43 650 4,206 43 0 0 0
Tibetan MPL-2.0 2% 48 702 4,549 47 0 0 0
Tigrinya MPL-2.0 2% 48 702 4,549 48 0 0 0
Tsonga MPL-2.0 0% 49 703 4,556 47 0 0 0
Tswana MPL-2.0 2% 48 702 4,549 47 0 0 0
Turkish MPL-2.0 0 0 0 0 0 0 0
Ukrainian MPL-2.0 0 0 0 0 0 0 0
Upper Sorbian MPL-2.0 0 0 0 0 0 0 0
Urdu MPL-2.0 0% 49 703 4,556 49 0 0 0
Uyghur MPL-2.0 97% 1 59 404 1 0 0 0
Uzbek MPL-2.0 2% 48 702 4,549 46 0 0 0
Venda MPL-2.0 0% 49 703 4,556 47 0 0 0
Venetian MPL-2.0 97% 1 59 404 1 0 0 0
Vietnamese MPL-2.0 65% 17 414 2,555 15 2 0 0
Welsh MPL-2.0 0 0 0 0 0 0 0
Wolof MPL-2.0 0% 49 703 4,556 49 0 0 0
Xhosa MPL-2.0 0% 49 703 4,556 47 0 0 0
Yakut MPL-2.0 0% 49 703 4,556 49 0 0 0
Zulu MPL-2.0 2% 48 702 4,549 47 0 0 0
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Overview

Project website www.libreoffice.org
Instructions for translators

Mailing list for translators: l10n@global.libreoffice.org
Translation license Mozilla Public License 2.0
Translation process
  • Translations can be made directly.
  • Translation suggestions can be made.
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  • The translation uses bilingual files.
File mask */nlpsolver/help/en/com.sun.star.comp.Calc.NLPSolver.po
yesterday

String statistics

Strings percent Hosted strings Words percent Hosted words Characters percent Hosted characters
Total 7,889 113,183 733,516
Source 49 703 4,556
Translated 50% 3,974 47% 53,317 47% 345,886
Needs editing 1% 69 1% 611 1% 3,878
Read-only 1% 49 1% 703 1% 4,556
Failing checks 1% 110 1% 1,699 1% 10,809
Strings with suggestions 0% 0 0% 0 0% 0
Untranslated strings 48% 3,846 52% 59,255 52% 383,752
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User avatar None

Changes committed
Changes committed 8 days ago
User avatar Kü

Translation changed
If this number of individuals found solutions within a close range, the iteration is stopped and the best of these values is chosen as optimal.
Wenn die gefundene Lösungse Lösungen der Anzahl an gefundenen Individuen innerhalb der Stagnationsgrenze bleibten, wird die Wiederholung angehalten und die bis dahin beste gefundene Lösung als optimal ausgegeben.
8 days ago
User avatar Kü

Translation changed
… defines the number of iterations, the algorithm should take. In each iteration, all individuals make a guess on the best solution and share their knowledge.
… definiert die Anzahl deran Wiederholungen, die der Algorithmus nehmen soll. In jedem Zyklus machen alle Individuen eine Vermutung über die beste Lösung und teilen ihr Wissen.
8 days ago
User avatar Kü

Translation changed
… defines the number of individuals to participate in the learning process. Each individual finds its own solutions and contributes to the overall knowledge.
… definiert die Anzahl deran Individuen, die in den Lernprozess einbezogen werden sollen. Jedes Einzelne findet seine eigene Lösung und trägt zur allgemeinen Kenntnis bei.
8 days ago
User avatar Kü

Contributor joined
Contributor joined 8 days ago
User avatar None

Changes committed
Changes committed 13 days ago
User avatar kees538

Translation changed
There is also a list of constraints you can use to restrict the possible range of solutions or to penalize certain conditions. However, in case of the evolutionary solvers DEPS and SCO, these constraints are also used to specify bounds on the variables of the problem. Due to the random nature of the algorithms, it is <emph>highly recommended</emph> to do so and give upper (and in case "Assume Non-Negative Variables" is turned off also lower) bounds for all variables. They don't have to be near the actual solution (which is probably unknown) but should give a rough indication of the expected size (0 ≤ var ≤ 1 or maybe -1000000 ≤ var ≤ 1000000).
Er is ook een lijst met beperkingen die u gebruiken kunt om het bereik van de mogelijke oplossingen te beperken of bepaalde voorwaardens op te leggen. Echter, in het geval van de evolutionaire oplossers DEPS en SCO, worden deze beperkingen ook gebruikt om grenzen van de variabelen van het probleem op te geven. Vanwege de willekeurige aard van de algoritmen, is het <emph>zeer raadzaam</emph> om dit te doen en geef bovengrenzen aan (en in het geval "Uitgaan van niet-negatief variabelen" is uitgeschakeld ook ondergrenzen) voor alle variabelen. Deze hoeven niet in de buurt te liggen van de werkelijke oplossing (die is waarschijnlijk onbekend), maar moeten een ruwe indicatie van de verwachte omvang (0 ≤ var ≤ 1 of misschien -1000000 ≤ var ≤ 1000000) geven.
13 days ago
User avatar kees538

Translation changed
When guessing variable bounds, this threshold specifies, how the initial values are shifted to build the bounds. For an example how these values are calculated, please refer to the Manual in the Wiki.
Wanneer variabele grenzen worden geraden, bepaalt deze drempel hoe de beginwaardens verplaatst worden om de grenzen te bouwen. Raadpleeg, om een voorbeeld te krijgen hoe deze waardes worden berekend, de handleiding in de Wiki.
13 days ago
User avatar kees538

Translation changed
If this number of individuals found solutions within a close range, the iteration is stopped and the best of these values is chosen as optimal.
Als dit aantal individuen oplossingen heeft gevonden binnen een korte afstand, wordt de iteratie gestopt en wordt de beste van de waardens gekozen als optimaal.
13 days ago
User avatar kees538

Translation changed
If <emph>disabled</emph>, the currently present values (as given by the user) are inserted in the library as reference point.
Als <emph>uitgeschakeld</emph>, worden de huidige aanwezige waardens (zoals ingegeven door de gebruiker) ingevoegd in de bibliotheek als referentiepunt.
13 days ago
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