Translation components API.

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

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                "The goal of the solver process is to find those variable values of an equation that result in an optimized value in the <emph>target cell</emph>, also named the \"objective\". You can choose whether the value in the target cell should be a maximum, a minimum, or approaching a given value."
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                "El objetivo del proceso del Solver es encontrar aquellos valores variables de una ecuación que resulten en un valor optimizado en la <emph>celda de destino</emph> u «objetivo». Puede elegir si el valor en la celda de destino debe ser un máximo, un mínimo o una aproximación a un valor determinado."
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                "The initial variable values are inserted in a rectangular cell range that you enter in the <emph>By changing cells</emph> box."
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                "Los valores iniciales de la variable se insertan en un intervalo de celdas rectangular que especifique en el cuadro <emph>Cambiando las celdas</emph>."
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                "You can define a series of limiting conditions that set constraints for some cells. For example, you can set the constraint that one of the variables or cells must not be bigger than another variable, or not bigger than a given value. You can also define the constraint that one or more variables must be integers (values without decimals), or binary values (where only 0 and 1 are allowed)."
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                "Puede definir una serie de condiciones limitantes que pongan restricciones a algunas celdas. Por ejemplo, puede establecer que una variable o celda no deba ser mayor que otra, o que no supere un valor determinado. También es posible establecer que una o más variables deban ser enteras (valores sin decimales) o binarias (donde solo se permiten 0 y 1)."
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            "source": [
                "Using Non-Linear solvers"
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                "Uso de Solvers no lineales"
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            "source": [
                "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=\"text/scalc/01/solver_options.xhp\">parameters</link>."
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                "Independientemente de si utiliza DEPS o SCO, comience yendo a <menuitem>Herramientas ▸ Solver</menuitem> e indique la celda que se debe optimizar, la dirección de avance (minimización, maximización) y las celdas que se deben modificar para alcanzar el objetivo. Luego vaya a las Opciones, especifique el tipo de Solver que se usará y, finalmente, ajuste los <link href=\"text/scalc/01/solver_options.xhp\">parámetros</link>, si fuera necesario."
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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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                "También hay una lista de restricciones que puede usar para restringir el rango posible de soluciones o para penalizar ciertas condiciones. Sin embargo, en el caso de los solucionadores evolutivos DEPS y SCO, estas restricciones también se utilizan para especificar límites en las variables del problema. Debido a la naturaleza aleatoria de los algoritmos, es<emph>Altamente recomendado</emph>para hacerlo y dar límites superiores (y en caso de que \"Asumir variables no negativas\" esté desactivado, también inferiores) para todas las variables. No tienen que estar cerca de la solución real (que probablemente sea desconocida), pero deberían dar una indicación aproximada del tamaño esperado (0 ≤ var ≤ 1 o quizás -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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                "Los límites se especifican seleccionando una o más variables (como rango) en el lado izquierdo e ingresando un valor numérico (no una celda o una fórmula) en el lado derecho. De esa manera también puede elegir una o más variables para ser<emph>entero</emph>o<emph>Binario</emph>solamente."
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                "<link href=\"https://wiki.documentfoundation.org/NLPSolver\">Wiki page on solvers and their algorithms</link>"
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                ""
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                "Solver Options"
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                "<bookmark_value>solver for Calc;options</bookmark_value>"
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                "Use the Options dialog to configure the solver engine."
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                "Utilice el cuadro de diálogo Opciones para configurar el motor del Solver."
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                "Click OK to accept the changes and to go back to the <link href=\"text/scalc/01/solver.xhp\">Solver</link> dialog."
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                "<ahelp hid=\".\">Select a solver engine. The listbox is disabled if only one solver engine is installed.</ahelp>"
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                "<ahelp hid=\".\">Seleccione un algoritmo del Solver. Este cuadro de lista se desactiva en caso de que solo un motor de Solver esté instalado.</ahelp>"
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                "You can install more solver engines as extensions, if available. Open <menuitem>Tools - Extensions</menuitem> and browse to the Extensions web site to search for extensions."
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                "Puede instalar más motores del Solver como extensiones, si están disponibles. Abra <menuitem>Herramientas ▸ Extensiones</menuitem> y navegue al sitio web de extensiones para buscarlas."
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                "Settings"
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                "Configuración"
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                "Configure the current solver. In the Settings box, check all settings that you want to use for the current goal seeking operation. If the current option offers different values, the Edit button is enabled. Click <emph>Edit</emph> to open a dialog where you can change the value."
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                "<ahelp hid=\".\">Enter or change the value of the selected setting.</ahelp>"
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                "<link href=\"https://wiki.documentfoundation.org/NLPSolver\">Wiki page on non-linear solvers and their algorithms</link>"
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                "Options"
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                "<bookmark_value>Solver for Nonlinear Problems;Options</bookmark_value>    <bookmark_value>solver for Calc; DEPS evolutionary algorithm</bookmark_value>    <bookmark_value>solver for Calc; SCO evolutionary algorithm</bookmark_value>    <bookmark_value>solver for Calc; linear solver</bookmark_value>    <bookmark_value>solver for Calc; CoinMP linear solver</bookmark_value>    <bookmark_value>solver for Calc; swarm non-linear solver</bookmark_value>"
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                "<variable id=\"SolverAlgorithmsOptionsh1\"><link href=\"text/scalc/01/solver_options_algo.xhp#SolverAlgorithmsOptionsh1\">Solver Algorithms Options</link></variable>"
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                "<variable id=\"DEPSEvolutionaryalgorithmh2\"><link href=\"text/scalc/01/solver_options_algo.xhp#DEPSEvolutionaryalgorithmh2\">DEPS Evolutionary Algorithm</link></variable>"
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                "DEPS consists of two independent algorithms: Differential Evolution and Particle Swarm Optimization. Both are especially suited for numerical problems, such as nonlinear optimization, and are complementary to each other in that they even out each other’s shortcomings."
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            "source": [
                "Specifies the probability for an individual to choose the Differential Evolution strategy."
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            "target": [
                "Especifica la probabilidad de que un individuo elija la estrategia de Evolución Diferencial."
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            "priority": 100,
            "id": 100449438,
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            "source": [
                "DE: Crossover Probability"
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                "DE:Probabilidad de cruce"
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            "priority": 100,
            "id": 100449440,
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            "source": [
                "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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            "target": [
                "Define la probabilidad de que el individuo se combine con el mejor punto global. Si no se utiliza el cruce, el punto se ensambla a partir de la propia memoria del individuo."
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            "priority": 100,
            "id": 100449442,
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            "source": [
                "DE: Scaling Factor"
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                "DE: factor de escala"
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            "priority": 100,
            "id": 100449445,
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            "source": [
                "During crossover, the scaling factor decides about the “speed” of movement."
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            "target": [
                "Durante el cruce, el factor de escala decide la «velocidad» de movimiento."
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            "priority": 100,
            "id": 100449447,
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            "source": [
                "Learning Cycles"
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                "Ciclos de aprendizaje"
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            "priority": 100,
            "id": 100449449,
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            "source": [
                "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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                "Define el número de iteraciones que debe tomar el algoritmo. En cada iteración, todos los individuos hacen una conjetura sobre la mejor solución y comparten sus conocimientos."
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            "id": 100449451,
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            "source": [
                "PS: Cognitive Constant"
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                "PS: constante cognitiva"
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            "id": 100449453,
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            "source": [
                "Sets the importance of the own memory (in particular the best reached point so far)."
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            "target": [
                "Establece la importancia de la memoria propia (en particular, el punto mejor alcanzado hasta el momento)."
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            "priority": 100,
            "id": 100449456,
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            "source": [
                "PS: Constriction Coefficient"
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                "PS: Coeficiente de constricción"
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            "id": 100449458,
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            "source": [
                "Defines the speed at which the particles/individuals move towards each other."
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            "target": [
                "Define la velocidad a la que las partículas/individuos se mueven unos hacia otros."
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            "id": 100449460,
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                "PS: Mutation Probability"
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                "PS: probabilidad de mutación"
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            "id": 100449462,
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            "source": [
                "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."
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                "Define la probabilidad de que, en lugar de mover un componente de la partícula hacia el mejor punto, se elija aleatoriamente un valor nuevo del intervalo válido para esa variable."
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            "source": [
                "PS: Social Constant"
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                "PS: constante social"
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            "source": [
                "Sets the importance of the global best point between all particles/individuals."
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            "target": [
                "Establece la importancia del mejor punto global entre todas las partículas/individuos."
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            "id": 100449469,
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            "source": [
                "<variable id=\"enhstatusheader\">Show Enhanced Solver Status</variable>"
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                "<variable id=\"enhstatusheader\">Mostrar el estado del solucionador mejorado</variable>"
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                "<variable id=\"enhstatusdesc\">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.</variable>"
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                "<variable id=\"swarmheader\">Size of Swarm</variable>"
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                "<variable id=\"swarmdesc\">Defines the number of individuals to participate in the learning process. Each individual finds its own solutions and contributes to the overall knowledge.</variable>"
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                "<variable id=\"stagnationdesc\">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.</variable>"
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