Translation components API.

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GET /api/translations/libo_ui-master/nlpsolverhelpencomsunstarcompcalcnlpsolver/eo/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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                "<bookmark_value>Solver for Nonlinear Problems;Options</bookmark_value>"
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                "<bookmark_value>Solvilo por nelinearaj problemoj;agordaro</bookmark_value>"
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                "General Options"
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                "Ĝeneralaj agordoj"
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            "source": [
                "Size of Swarm"
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                "Grando de svarmo"
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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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                "...agordas la nombron da individuoj partopreni la lernan procezon. Ĉiu individuo serĉas la proprajn solvojn kaj kontribuas al la tuta scio."
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                "Learning Cycles"
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                "Lernaj cikloj"
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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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                "... agordas la nombron da iteracioj, kiujn prenu la algoritmo. En ĉiu iteracio, ĉiuj individuoj divenas la plej bonan solvon kaj ilia scio estas kunhavata."
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            "source": [
                "Variable Bounds Guessing"
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                "Diveni la limesojn de variabloj"
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                "If enabled (default), the algorithm tries to find variable bounds by looking at the starting values."
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                "Se enŝaltita (apriore), la algoritmo provas trovi limesojn de variabloj serĉante la komencajn valorojn."
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                "Variable Bounds Threshold"
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                "Sojlo de variablaj limesoj"
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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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                "Kiam divenante variablajn limesojn, ĉi tiu sojlo agordas kiel la komencaj valoroj moviĝu por konstrui la limesojn. Por ekzemplo pri kiel kalkuli tiujn valorojn, bonvolu konsulti la manlibron en la vikio."
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                "Use ACR Comparator"
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                "Uzi ACR-komparilon"
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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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                "Se <emph>malŝaltita</emph> (apriore), la BCH-Komparilo estos uzata. Ĝi komparos du individuojn, unue konsiderante iliajn malobservojn de limigoj, kaj nur se ili estas egalaj, ĝi mezuras ilian aktualan solvon."
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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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                "Se <emph>ŝaltita</emph>, la ACR-Komparilo estos uzata. Ĝi komparos du individuojn dependajn de la aktuala iteracio kaj ĝi mezuras ilian bonecon kun scio pri la plej malbonaj solvoj en la bibliotekoj (konsiderante iliajn malobservojn de limigoj)."
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                "Use Random Starting Point"
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                "Uzi hazardan komencan punkton"
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                "If <emph>enabled</emph>, the library is simply filled up with randomly chosen points."
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                "Se <emph>ŝaltita</emph>, simple plenigas la bibliotekon per hazarde elektitaj punktoj."
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            "source": [
                "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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                "Se <emph>malŝaltita</emph>,enmetas en la bibliotekon, kiel referencan punkton, la aktuale ĉeestantajn valorojn (donitajn de la uzanto)."
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            "source": [
                "Stagnation Limit"
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                "Limeso de stagnado"
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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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                "Se tiom da individuoj trovis solvojn en proksima amplekso, haltas la iteracion kaj elektas la plej bonajn el tiuj valoroj kiel optimumajn."
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                "Stagnation Tolerance"
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                "Defines in what range solutions are considered “similar”."
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                "Agordas en kiu amplekso konsideri solvojn \"similaj\"."
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                "Show Enhanced Solver Status"
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                "Vidigi plibonigitan staton de Solvilo"
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            "source": [
                "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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                "Se <emph>ŝaltita</emph>, vidigas pluan dialogon dum la solvprocezo, kiu donas informojn pri la aktuala progreso, la nivelo de stagnado, la aktuale konata plej bona solvo, kaj la ebleco haltigi aŭ daŭrigi la Solvilon."
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                "DEPS-specific Options"
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                "DEPS-specifaj agordoj"
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                "Agent Switch Rate"
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                "Rapido de agenta baskulado"
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            "source": [
                "Specifies the probability for an individual to choose the Differential Evolution strategy."
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                "Agordas la probablecon por individuo elekti la strategion Diferenca Evoluado."
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                "DE: Crossover Probability"
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                "DE: transkruca probablo"
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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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                "... agordas la probablon ke la individuo estos kombinita kun la malloka plejbona punkto. Se transkruco ne estas uzata, kunmetas la punkton el la propra memoro de la individuo."
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                "DE: Scaling Factor"
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                "DE: Skala faktoro"
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                "During crossover, the scaling factor decides about the “speed” of movement."
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                "Dum transkruco, la skala faktoro decidos pri la \"rapido\" de moviĝo."
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            "id": 2051734,
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                "PS: Constriction Coefficient"
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                "PS: Kuntira koeficiento"
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            "id": 2051736,
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            "source": [
                "… defines the speed at which the particles/individuals move towards each other."
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                "... agordas la rapidon je kiu la partikloj/individuoj moviĝos unu al alia."
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                "PS: Cognitive Constant"
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                "PS: Kogna konstanto"
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                "… sets the importance of the own memory (in particular the best reached point so far)."
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                "... agordas la gravecon de la propra memoro (aparte la ĝis nun plej bona atingita punkto)."
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                "PS: Social Constant"
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                "... agordas la gravecon de la malloke plej bona punkto inter ĉiuj partikloj/individuloj."
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                "... agordas la probablon ke, anstataŭ movi elementon de la partiklo en la direkto de la plej bona punkto, ĝi hazarde elektas novan valoron el la valida amplekso por tiu variablo."
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                "… defines the amount of information to store in the public library. Each individual stores knowledge there and asks for information."
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                "... agordas la kvanton da informo konservi en la publika biblioteko. Ĉiu individuo konservas scion tie kaj petas informojn."
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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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                "Ekzistas ankaŭ listo de restriktoj kiujn vi povas uzi por restrikti la eblan amplekson de solvoj aŭ por malavantaĝi al specifaj kondiĉoj. Tamen, en la kazo de la evoluaj solviloj DEPS kaj SCO, tiuj restriktoj ankaŭ uzeblas por agordi limesojn de la variabloj de la problemo. Pro la hazarda karaktero de la algoritmoj, ni <emph>forte rekomendas</emph> fari tion kaj agordi supran (kaj en la kazo ke \"Supozi nenegativajn variablojn\" estas elŝaltita, ankaŭ malsupran) limesojn por ĉiuj variabloj. Ne necesas ke ili estu proksimaj al la vera solvo (kiu eble estas nekonata) sed devus doni proksimuman indikon de la atendata grando (0 ≤ var ≤ 1 aŭ eble -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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                "Oni agordas limesojn elektante unu aŭ pliajn variablojn (kiel amplekson) ĉe la maldekstra flanko kaj enigante numeran valoron (ne ĉelon aŭ formulon) ĉe la dekstra flanko. Tiel vi povas ankaŭ elekti unu aŭ pliajn variablojn esti nur <emph>entjeraj</emph> aŭ <emph>duumaj</emph>."
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                "Solver for Nonlinear Problems"
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