Translation components API.

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

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                "<ahelp hid=\".\">Enter or change the value of the selected setting.</ahelp>"
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                "<ahelp hid=\".\">Skriv inn eller endra verdien for den valde innstillinga.</ahelp>"
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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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                "<bookmark_value>problemløysar for ikkje-lineære problem;innstillingar</bookmark_value>    <bookmark_value>problemløysar for Calc; DEPS evolusjonsalgoritme</bookmark_value>    <bookmark_value>problemløysar for Calc; SCO evolusjonsalgoritme</bookmark_value>    <bookmark_value>problemløysar for Calc; lineær problemløysar</bookmark_value>    <bookmark_value>problemløysar for Calc; CoinMP lineær problemløysar</bookmark_value>    <bookmark_value>problemløysar for Calc; swarm ikkje-lineær problemløysar</bookmark_value>"
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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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                "Definerer sannsynet for at eit individ vil velja den differensielle utviklingsstrategien."
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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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                "Definerer sannsynet for at individet skal kombinerast med det globalt beste punktet. Dersom overkryssing ikkje er brukt, vert punktet sett samen frå individet sitt minne."
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                "DE: Scaling Factor"
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                "DE: Skaleringsfaktor"
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                "During crossover, the scaling factor decides about the “speed” of movement."
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                "Ved overkryssinga bestemmer skaleringsfaktoren «farten» på rørslene."
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                "Learning Cycles"
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                "Læringssyklar"
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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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                "Set kor mange gjentakingar som skal køyrast. I kvar gjennomkøyring lagar alle individa ei gjetting på den beste løysinga og deler kunnskapane seg i mellom."
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                "PS: Cognitive Constant"
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                "Sets the importance of the own memory (in particular the best reached point so far)."
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                "Bestemmer kor viktig eige minne skal vera (spesielt det beste resultatet så langt)."
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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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                "PS: Mutation Probability"
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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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            "target": [
                "Definerer sannsynet for at i staden for å flytta ein komponent av partikkelen mot det beste punktet vil det velja ein ny verdi tilfeldig frå det gyldige området for variabelen."
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        {
            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-master/textscalc01/nn/?format=api",
            "source": [
                "PS: Social Constant"
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                "PS: Sosial konstant"
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            "source": [
                "Sets the importance of the global best point between all particles/individuals."
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                "Set kor viktig det beste globale punktet skal vera mellom alle partiklane/individa."
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            "source": [
                "<variable id=\"enhstatusheader\">Show Enhanced Solver Status</variable>"
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            "target": [
                "<variable id=\"enhstatusheader\">Vis forbetra løysingsstatus</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=\"enhstatusdesc\">Viss <emph>slått på</emph> vert det under heile løysingsprosesssen vist eit dialogvindauge som viser informasjon om den gjeldande prosessen, nivåa på stagnasjon, den for tida beste løysinga og sannsynet for å stoppa eller halda fram problemløysaren.</variable>"
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            "source": [
                "<variable id=\"swarmheader\">Size of Swarm</variable>"
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                "<variable id=\"swarmheader\">Storelik på svermen</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=\"swarmdesc\">Definerer talet på individ som skal delta i læringsprosessen. Kvart individ finn sine eigne løysingar og yter til den samla kunnskapen</variable>pen."
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                "<variable id=\"stagnationheader\">Stagnation Limit</variable>"
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                "<variable id=\"stagnationheader\">Stagnasjonsgrense</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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                "<variable id=\"stagnationdesc\">Viss så mange individ finn løysingar innan eit nært område, vert gjentakinga stoppa og den beste av desse verdiane vert vald som optimal.</variable>"
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                "<variable id=\"stagtolheader\">Stagnation Tolerance</variable>"
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                "<variable id=\"stagtolheader\">Stagnasjonstoleranse</variable>"
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                "<variable id=\"stagtoldesc\">Defines in what range solutions are considered “similar”.</variable>"
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                "<variable id=\"stagtoldesc\">Definerer i kva område løysingar vert sett på som «like».</variable>"
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                "<variable id=\"acrheader\">Use ACR Comparator</variable>"
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                "<variable id=\"acrheader\">Bruk ACR-komparator</variable>"
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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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                "Viss <emph>slått av</emph> (standard) vert BCH-comparator brukt. Han samanliknar to individ ved først å sjå på avgrensingsbrota, og berre viss dei er like, vert den noverande løysinga målt."
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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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                "Viss <emph>slått på</emph>, vert ACR-komparatoren brukt.  Han samanliknar to individ som er avhengige av den gjeldande iterasjonen og målar kor gode dei er ut frå kunnskap om dei verst kjende løysingane i biblioteka (med omsyn til avgrensingane deira)."
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            "source": [
                "Use Random Starting Point"
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                "Bruk tilfeldig startpunkt"
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                "If <emph>enabled</emph>, the library is simply filled up with randomly chosen points."
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                "Viss denne er <emph>slått på</emph>, vert biblioteket fylt opp med tilfeldige punkt."
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                "Social Cognitive Optimization takes into account the human behavior of learning and sharing information. Each individual has access to a common library with knowledge shared between all individuals."
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                "Learning Cycles"
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