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703 Words 38%
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34 273 1,907
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Overview

Project website www.libreoffice.org
Translation license Mozilla Public License 2.0
Translation process
  • Translations can be made directly.
  • Translation suggestions can be made.
  • Any authenticated user can contribute.
  • The translation uses bilingual files.
File mask */nlpsolver/help/en/com.sun.star.comp.Calc.NLPSolver.po
Translation file Download pa-IN/nlpsolver/help/en/com.sun.star.comp.Calc.NLPSolver.po
Last change Dec. 30, 2023, 4:52 a.m.
Last author A S Alam
2 weeks ago

String statistics

Strings percent Hosted strings Words percent Hosted words Characters percent Hosted characters
Total 49 703 4,556
Translated 69% 34 38% 273 41% 1,907
Needs editing 0% 0 0% 0 0% 0
Read-only 0% 0 0% 0 0% 0
Failing checks 0% 0 0% 0 0% 0
Strings with suggestions 0% 0 0% 0 0% 0
Untranslated strings 30% 15 61% 430 58% 2,649
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703
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49
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User avatar None

Changes committed

  1. LibreOffice UI - master
  2. nlpsolver/help/en/com.sun.star.comp.Calc.NLPSolver
  3. Punjabi
Changes committed 4 months ago
User avatar aalam

Translation replaced

  1. LibreOffice UI - master
  2. nlpsolver/help/en/com.sun.star.comp.Calc.NLPSolver
  3. Punjabi
If <emph>disabled</emph> (default), the BCH Comparator is used. It compares two individuals by first looking at their constraint violations and only if those are equal, it measures their current solution.
ਜੇਕਰ <emph>ਅਯੋਗਸਮਰੱਥ</emph>ਕੀਤਾ ਹੋਵੇ (default) ਤਾਂ, BCH ਕੰਪੈਰੇਟਰ ਦੀ ਵਰਤੋ ਕੀਤੀ ਜਾਂਦੀ ਹੈ। ਇਹ ਪਹਿਲਾਂ ਦੋ ਵਿਅਕਤੀਆਂ ਦੀ, ਉਨ੍ਹਾਂ ਦੀ ਰੋਕਾਂ ਦੀ ਉਲੰਘਣਾ ਨੂੰ ਦੇਖਣ ਦੁਆਰਾ, ਤੁਲਨਾ ਕਰਦਾ ਹੈ ਅਤੇ ਕੇਵਲ ਜੇਕਰ ਉਹ ਬਰਾਬਰ ਹੁੰਦੇ ਹਨ, ਤਾਂ ਉਨ੍ਹਾਂ ਦੇ ਮੌਜੂਦਾ ਹੱਲ ਨੂੰ ਮਾਪਦਾ ਹੈ।
4 months ago
User avatar None

Resource updated

  1. LibreOffice UI - master
  2. nlpsolver/help/en/com.sun.star.comp.Calc.NLPSolver
  3. Punjabi
The "pa-IN/nlpsolver/help/en/com.sun.star.comp.Calc.NLPSolver.po" file was changed. a year ago
User avatar None

String updated in the repository

  1. LibreOffice UI - master
  2. nlpsolver/help/en/com.sun.star.comp.Calc.NLPSolver
  3. Punjabi
Regardless whether you use DEPS or SCO, you start by going to <menuitem>Tools - Solver</menuitem> and set the Cell to be optimized, the direction to go (minimization, maximization) and the cells to be modified to reach the goal. Then you go to the Options and specify the solver to be used and if necessary adjust the according <link href="com.sun.star.comp.Calc.NLPSolver/Options.xhp">parameters</link>.
 
a year ago
User avatar aalam

Translation changed

  1. LibreOffice UI - master
  2. nlpsolver/help/en/com.sun.star.comp.Calc.NLPSolver
  3. Punjabi
Solver for Nonlinear Problems
ਗ਼ੈਰ-ਲੀਨੀਅਰ ਸਮੱਸਿਆਵਾਂ ਲਈ ਸੋਲਵਰ
2 years ago
User avatar aalam

Translation changed

  1. LibreOffice UI - master
  2. nlpsolver/help/en/com.sun.star.comp.Calc.NLPSolver
  3. Punjabi
Bounds are specified by selecting one or more variables (as range) on the left side and entering a numerical value (not a cell or a formula) on the right side. That way you can also choose one or more variables to be <emph>Integer</emph> or <emph>Binary</emph> only.
Bounds are specified by selecting one or more variables (as range) on the left side and entering a numerical value (not a cell or a formula) on the right side. That way you can also choose one or more variables to be <emph>Integer</emph> or <emph>Binary</emph> only.
2 years ago
User avatar aalam

Translation changed

  1. LibreOffice UI - master
  2. nlpsolver/help/en/com.sun.star.comp.Calc.NLPSolver
  3. Punjabi
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).
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).
2 years ago
User avatar aalam

Translation changed

  1. LibreOffice UI - master
  2. nlpsolver/help/en/com.sun.star.comp.Calc.NLPSolver
  3. Punjabi
… defines the probability, that instead of moving a component of the particle towards the best point, it randomly chooses a new value from the valid range for that variable.
… defines the probability, that instead of moving a component of the particle towards the best point, it randomly chooses a new value from the valid range for that variable.
2 years ago
User avatar aalam

Translation changed

  1. LibreOffice UI - master
  2. nlpsolver/help/en/com.sun.star.comp.Calc.NLPSolver
  3. Punjabi
… sets the importance of the global best point between all particles/individuals.
… sets the importance of the global best point between all particles/individuals.
2 years ago
User avatar aalam

Translation changed

  1. LibreOffice UI - master
  2. nlpsolver/help/en/com.sun.star.comp.Calc.NLPSolver
  3. Punjabi
… sets the importance of the own memory (in particular the best reached point so far).
… sets the importance of the own memory (in particular the best reached point so far).
2 years ago
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