#. extracted from nlpsolver/help/en/com.sun.star.comp.Calc.NLPSolver
msgid ""
msgstr ""
"Project-Id-Version: PACKAGE VERSION\n"
"Report-Msgid-Bugs-To: https://bugs.libreoffice.org/enter_bug.cgi?product=LibreOffice&bug_status=UNCONFIRMED&component=UI\n"
"POT-Creation-Date: 2015-04-22 23:40+0200\n"
"PO-Revision-Date: 2015-05-26 14:57+0000\n"
"Last-Translator: Cheng-Chia Tseng <pswo10680@gmail.com>\n"
"Language-Team: LANGUAGE <LL@li.org>\n"
"Language: zh_TW\n"
"MIME-Version: 1.0\n"
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#: Options.xhp
msgctxt ""
"Options.xhp\n"
"tit\n"
"help.text"
msgid "Options"
msgstr "選項"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"bm_id0503200917110375_scalc\n"
"help.text"
msgid "<bookmark_value>Solver for Nonlinear Problems;Options</bookmark_value>"
msgstr "<bookmark_value>非線性問題求解器;選項</bookmark_value>"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"hd_id0503200917103593\n"
"help.text"
msgid "General Options"
msgstr "通用選項"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0503200917103780\n"
"help.text"
msgid "Size of Swarm"
msgstr "群的規模"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0503200917103723\n"
"help.text"
msgid "… defines the number of individuals to participate in the learning process. Each individual finds its own solutions and contributes to the overall knowledge."
msgstr "… 定義參與學習程序的個體數目。個體各自尋找自己的解答並將它貢獻給總體智識。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0503200917103771\n"
"help.text"
msgid "Learning Cycles"
msgstr "學習週期"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0503200917103720\n"
"help.text"
msgid "… 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."
msgstr "… 定義演算法的迭代次數。每次迭代過程中，所有個體會猜想最佳解答並分享其智識。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0503200917103732\n"
"help.text"
msgid "Variable Bounds Guessing"
msgstr "變數界限猜測"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id050320091710378\n"
"help.text"
msgid "If enabled (default), the algorithm tries to find variable bounds by looking at the starting values."
msgstr "若啟用 (預設)，這個演算法會嘗試從起始值尋找變數界限。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0503200917103794\n"
"help.text"
msgid "Variable Bounds Threshold"
msgstr "變數界限閾值"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0503200917103710\n"
"help.text"
msgid "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."
msgstr "猜測變數界限時，此閾值指定初始數值如何轉移以建立出邊界。若想查看這些數值如何計算出來的範例，請參考 Wiki 中的手冊。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0503200917103740\n"
"help.text"
msgid "Use ACR Comparator"
msgstr "使用 ACR 比較器"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0503200917103766\n"
"help.text"
msgid "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."
msgstr "若<emph>停用</emph> (預設)，則會使用 BCH 比較器。它會先以約束衝突比較兩個個體，僅兩者相等時才會測定其當前解。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0503200917103744\n"
"help.text"
msgid "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)."
msgstr "若<emph>啟用</emph>，則使用 ACR 比較器。它會根據目前迭代次數，並以所知最糟函式庫解答 (對於其約束衝突) 的智識測定其長處。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0503200917103792\n"
"help.text"
msgid "Use Random Starting Point"
msgstr "使用隨機開始點"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0503200917103790\n"
"help.text"
msgid "If <emph>enabled</emph>, the library is simply filled up with randomly chosen points."
msgstr "若<emph>啟用</emph>，將以隨機選定的點簡單填入存庫。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0503200917103765\n"
"help.text"
msgid "If <emph>disabled</emph>, the currently present values (as given by the user) are inserted in the library as reference point."
msgstr "若<emph>停用</emph>，目前出現的值 (由使用者給定) 會被插入存庫中以作為參照點。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0504200917103794\n"
"help.text"
msgid "Stagnation Limit"
msgstr "停滯限制"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id050320091710377\n"
"help.text"
msgid "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."
msgstr "若此數目的個體在接近的範圍內找到解答，迭代將終止，並選擇其中最佳值作為最優解。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0503200917103762\n"
"help.text"
msgid "Stagnation Tolerance"
msgstr "停滯容差"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0503200917103834\n"
"help.text"
msgid "Defines in what range solutions are considered “similar”."
msgstr "定義什麼樣範圍內的解會被認為是「近似的」。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0503200917103891\n"
"help.text"
msgid "Show Enhanced Solver Status"
msgstr "顯示詳細的求解狀態"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0503200917103832\n"
"help.text"
msgid "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."
msgstr "若<emph>啟用</emph>，則將在求解程序中顯示額外對話框，提供目前進度、停滯級別、目前已知最佳解的資訊，還有機率、停止或繼續求解的功能。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"hd_id0603200910392151\n"
"help.text"
msgid "DEPS-specific Options"
msgstr "DEPS 特定選項"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0603200910394232\n"
"help.text"
msgid "Agent Switch Rate"
msgstr "代理切換速率"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0603200910394248\n"
"help.text"
msgid "Specifies the probability for an individual to choose the Differential Evolution strategy."
msgstr "指定個體選擇差分演化策略的機率。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0603200910394277\n"
"help.text"
msgid "DE: Crossover Probability"
msgstr "DE：交叉機率"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0603200910394280\n"
"help.text"
msgid "… 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."
msgstr "… 定義個體與全域最佳點結合的機率。如果未使用交叉，則採用個體自身記憶體組合的點。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0603200910394216\n"
"help.text"
msgid "DE: Scaling Factor"
msgstr "DE：縮放係數"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id060320091039424\n"
"help.text"
msgid "During crossover, the scaling factor decides about the “speed” of movement."
msgstr "交叉過程中，縮放係數會決定移動的「速度」。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id060320091039421\n"
"help.text"
msgid "PS: Constriction Coefficient"
msgstr "PS：收縮係數"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0603200910394225\n"
"help.text"
msgid "… defines the speed at which the particles/individuals move towards each other."
msgstr "… 定義粒子/個體向彼此移動的速度。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0603200910394222\n"
"help.text"
msgid "PS: Cognitive Constant"
msgstr "PS：認知常量"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0603200910394212\n"
"help.text"
msgid "… sets the importance of the own memory (in particular the best reached point so far)."
msgstr "… 設定自身記憶體的重要性 (特別是目前最接近也最佳的點)。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0603200910394292\n"
"help.text"
msgid "PS: Social Constant"
msgstr "PS：社交常量"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0603200910394284\n"
"help.text"
msgid "… sets the importance of the global best point between all particles/individuals."
msgstr "… 設定全域最佳點在所有粒子/個體之間的重要性。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id060320091039425\n"
"help.text"
msgid "PS: Mutation Probability"
msgstr "PS：突變機率"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0603200910394272\n"
"help.text"
msgid "… 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."
msgstr "… 定義粒子的部件不朝最佳點移動，而是為變數從有效的範圍中隨機選擇新值的機率。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"hd_id0603200910401383\n"
"help.text"
msgid "SCO-specific Options"
msgstr "SCO 特定選項"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0603200910401382\n"
"help.text"
msgid "Size of Library"
msgstr "存庫大小"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id060320091040136\n"
"help.text"
msgid "… defines the amount of information to store in the public library. Each individual stores knowledge there and asks for information."
msgstr "… 定義儲存在公共存庫中的資訊量。每個個體都會在那裡儲存知識並詢問資訊。"

#: Usage.xhp
msgctxt ""
"Usage.xhp\n"
"tit\n"
"help.text"
msgid "Usage"
msgstr "用法"

#: Usage.xhp
msgctxt ""
"Usage.xhp\n"
"bm_id0603200910434044_scalc\n"
"help.text"
msgid "<bookmark_value>Solver for Nonlinear Problems;Usage</bookmark_value>"
msgstr "<bookmark_value>非線性問題求解器;用法</bookmark_value>"

#: Usage.xhp
msgctxt ""
"Usage.xhp\n"
"hd_id0603200910430882\n"
"help.text"
msgid "Usage"
msgstr "用法"

#: Usage.xhp
msgctxt ""
"Usage.xhp\n"
"par_id0603200910430845\n"
"help.text"
msgid "Regardless whether you use DEPS or SCO, you start by going to Tools → Solver 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>."
msgstr "不管您是使用 DEPS 或 SCO，都可以前往 [工具] → [求解器] 開始，可設定要最佳化的儲存格，設定最佳化的方向 (最小化、最大化)，以及哪些儲存格要被修改以達到目標。接著前往 [選項] 並指定要使用的求解器；如果需要的話，請調整對應的 <link href=\"com.sun.star.comp.Calc.NLPSolver/Options.xhp\">參數</link>。"

#: Usage.xhp
msgctxt ""
"Usage.xhp\n"
"par_id0603200910430821\n"
"help.text"
msgid "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)."
msgstr "您也可以使用約束清單來限制答案的可能範圍，或是懲罰某些情況。然而，在進化式求解器 DEPS 與 SCO 的案例中，這些約束也可用來指定問題的變數邊界。基於演算法的隨機本質，<emph>強烈建議</emph> 如此指定，並為所有變數設定上 (在「假設非負變數」的案例中為關閉，也是下) 邊界。它們不需要接近實際解答 (很可能未知)，但也應該給予期待大小粗略的指引 (0 ≤ 變數 ≤ 1，或者是 -1000000 ≤ 變數 ≤ 1000000)。"

#: Usage.xhp
msgctxt ""
"Usage.xhp\n"
"par_id0603200910430873\n"
"help.text"
msgid "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."
msgstr "請在左側選取一個或多個變數 (作為範圍) 來指定邊界，並於右側輸入數值 (不是儲存格或公式)。透過這個方式，您也可以選擇一個或多個變數，但僅只能是<emph>整數</emph> 或<emph>二進位</emph>。"

#: help.tree
msgctxt ""
"help.tree\n"
"08\n"
"help_section.text"
msgid "Solver for Nonlinear Problems"
msgstr "非線性問題求解器"

#: help.tree
msgctxt ""
"help.tree\n"
"0816\n"
"node.text"
msgid "Solver for Nonlinear Problems"
msgstr "非線性問題求解器"