Translation components API.

See the Weblate's Web API documentation for detailed description of the API.

GET /api/translations/libo_ui-master/nlpsolverhelpencomsunstarcompcalcnlpsolver/de/units/?format=api
HTTP 200 OK
Allow: GET, POST, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

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                "Options"
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                "Optionen"
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                "<bookmark_value>Solver for Nonlinear Problems;Options</bookmark_value>"
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                "<bookmark_value>Solver für nichtlineare Probleme; Optionen</bookmark_value>"
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                "General Options"
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                "Allgemeine Optionen"
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                "Size of Swarm"
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                "… defines the number of individuals to participate in the learning process. Each individual finds its own solutions and contributes to the overall knowledge."
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                "… definiert die Anzahl der Individuen, die in den Lernprozess einbezogen werden sollen. Jedes Einzelne findet seine eigene Lösung und trägt zur allgemeinen Kenntnis bei."
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                "Learning Cycles"
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                "… 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."
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            "source": [
                "Variable Bounds Guessing"
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                "Variable Schranken erraten"
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                "If enabled (default), the algorithm tries to find variable bounds by looking at the starting values."
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                "Wenn aktiviert (Voreinstellung), versucht der Algorithmus, variable Grenzen zu finden, indem er die Startwerte auswertet."
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                "Variable Bounds Threshold"
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                "Schwelle für variable Grenzen"
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            "source": [
                "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."
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                "Wenn die Option Variable Grenzen erraten aktiviert ist, legt diese Schwelle fest, wie weit die ursprünglichen Werte verschoben werden dürfen, um die Grenzen festzulegen. Ein Beispiel für die Berechnung dieser Werte entnehmen Sie bitte der Anleitung im Wiki."
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                "Use ACR Comparator"
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                "ACR-Vergleich verwenden"
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            "source": [
                "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."
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                "Wenn <emph>deaktiviert</emph> (Voreinstellung), wird der BCH-Vergleich verwendet. Er vergleicht zwei Individuen, indem er zunächst ihre Einschränkungen vergleicht und, nur wenn diese gleich sind, die aktuelle Lösung schätzt."
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            "source": [
                "If <emph>enabled</emph>, the ACR Comparator is used. It compares two individuals dependent on the current iteration and measures their goodness with knowledge about the libraries worst known solutions (in regard to their constraint violations)."
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                "Wenn diese Option <emph>aktiviert</emph> ist, wird der ACR-Vergleich verwendet. Er vergleicht zwei Individuen abhängig von der aktuellen Iteration und misst deren Güte mit dem Wissen über die Bibliotheken der schlimmsten bekannten Lösungen (in Bezug auf ihre Einschränkungsverletzungen)."
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                "Use Random Starting Point"
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                "Zufällige Startpunkte verwenden"
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                "If <emph>enabled</emph>, the library is simply filled up with randomly chosen points."
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                "Wenn diese Option <emph>aktiviert</emph> ist, wird die Bibliothek mit zufälligen Startpunkten gefüllt."
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                "If <emph>disabled</emph>, the currently present values (as given by the user) are inserted in the library as reference point."
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                "Wenn diese Option <emph>deaktiviert</emph> ist, werden die (vom Benutzer vorgegebenen) Werte als Startpunkte verwendet."
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            "source": [
                "Stagnation Limit"
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                "Stagnationsgrenze"
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                "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."
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                "Stagnation Tolerance"
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                "Defines in what range solutions are considered “similar”."
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                "Legt fest, in welchem Rahmen Lösungen als „ähnlich“ angesehen werden."
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                "Show Enhanced Solver Status"
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                "If <emph>enabled</emph>, an additional dialog is shown during the solving process which gives information about the current progress, the level of stagnation, the currently best known solution as well as the possibility, to stop or resume the solver."
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                "DEPS-specific Options"
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            "source": [
                "Specifies the probability for an individual to choose the Differential Evolution strategy."
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                "Legt die Möglichkeiten eines Individuums fest, zwischen den verschiedenen Evolutionsstrategien zu wählen."
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                "DE: Crossover Probability"
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                "DE: Scaling Factor"
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                "DE: Skalierungsfaktor"
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                "PS: Constriction Coefficient"
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                "… defines the speed at which the particles/individuals move towards each other."
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                "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)."
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                "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."
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                "Solver for Nonlinear Problems"
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                "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>."
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