Translation components API.

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GET /api/translations/libo_ui-master/nlpsolverhelpencomsunstarcompcalcnlpsolver/es/units/?format=api
HTTP 200 OK
Allow: GET, POST, HEAD, OPTIONS
Content-Type: application/json
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                "Options"
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                "<bookmark_value>Solver for Nonlinear Problems;Options</bookmark_value>"
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                "<bookmark_value>Solver para problemas no lineales;Opciones</bookmark_value>"
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                "General Options"
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                "Size of Swarm"
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                "Tamaño del cúmulo"
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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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                "… define el numero de individuos que participan en el proceso de aprendizaje. Cada individuo encuentra sus propias soluciones y contribuye al conocimiento general."
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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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                "Variable Bounds Guessing"
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                "If enabled (default), the algorithm tries to find variable bounds by looking at the starting values."
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                "Variable Bounds Threshold"
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                "Umbral de los límites de la variable"
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                "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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                "Cuando se estiman los límites de la variable, este umbral especifica de qué manera los valores iniciales se modifican para construir los límites. Para ver un ejemplo que muestra cómo se calculan estos valores, refiérase al manual disponible en el wiki."
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                "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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                "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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                "Cuando está <emph>activado</emph>, se usa el comparador ACR. Compara dos individuos que dependen de la iteración actual y mide sus niveles de calidad utilizando el conocimiento que posee la biblioteca sobre las peores soluciones conocidas (en cuanto a sus violaciones de las restricciones)."
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                "Use Random Starting Point"
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                "If <emph>enabled</emph>, the library is simply filled up with randomly chosen points."
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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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                "Defines in what range solutions are considered “similar”."
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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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                "Agent Switch Rate"
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                "Specifies the probability for an individual to choose the Differential Evolution strategy."
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                "DE: Crossover Probability"
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                "… defines the probability of the individual being combined with the globally best point. If crossover is not used, the point is assembled from the own memory of the individual."
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                "DE: Scaling Factor"
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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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                "Solver para problemas no lineales"
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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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