#. 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: 2016-11-09 14:10+0100\n"
"PO-Revision-Date: 2019-03-02 21:17+0000\n"
"Last-Translator: Dian LI <xslidian@gmail.com>\n"
"Language-Team: LANGUAGE <LL@li.org>\n"
"Language: zh_CN\n"
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"X-Accelerator-Marker: ~\n"
"X-Generator: Pootle 2.8\n"
"X-POOTLE-MTIME: 1551561462.000000\n"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"tit\n"
"help.text"
msgid "Options"
msgstr "选项"

#: 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>非线性问题求解器;选项</bookmark_value>"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"hd_id0503200917103593\n"
"help.text"
msgid "General Options"
msgstr "常规选项"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0503200917103780\n"
"help.text"
msgid "Size of Swarm"
msgstr "群规模"

#: 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 "… 定义了参加学习过程的个体数目。各个体找到自己的解并贡献给总体智慧。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0503200917103771\n"
"help.text"
msgid "Learning Cycles"
msgstr "学习周期"

#: 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 "… 定义了算法的迭代次数。每次迭代过程中，所有个体猜想最佳解并共享智慧。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0503200917103732\n"
"help.text"
msgid "Variable Bounds Guessing"
msgstr "变量猜测界限"

#: 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 "若启用 (默认)，算法将尝试通过起始值找到变量界限。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0503200917103794\n"
"help.text"
msgid "Variable Bounds Threshold"
msgstr "变量界限阈值"

#: 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 "猜测可变界限时，此阈值指定初始数值如何变换，以构建边界。关于这些数值如何计算等信息，请参考 wiki 中的手册。"

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

#: 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>禁用</emph>」(默认)，则将使用 BCH 比较器。它将首先通过约束冲突比较个体，仅当相等时才测定其当前解。"

#: 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>启用</emph>」，则将使用 ACR 比较器。它将根据当前迭代次数以及测量最差解库 (就其约束冲突) 知识掌握程度比较两个个体。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0503200917103792\n"
"help.text"
msgid "Use Random Starting Point"
msgstr "使用随机起始点"

#: 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>启用</emph>」，将以随机选中的点简单填充库。"

#: 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>禁用</emph>」，当前显示值 (用户指定) 将插入库作为参照点。"

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

#: 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 "若此数量的个体在紧密区域找到解，迭代将终止，并选择其中最佳值作为最优解。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0503200917103762\n"
"help.text"
msgid "Stagnation Tolerance"
msgstr "阻塞偏差"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0503200917103834\n"
"help.text"
msgid "Defines in what range solutions are considered “similar”."
msgstr "定义在何区域内解被认为是「近似的」。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0503200917103891\n"
"help.text"
msgid "Show Enhanced Solver Status"
msgstr "显示详细求解器状态"

#: 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 "如果「<emph>启用</emph>」，一个附加的对话框将显示在求解过程中，它将告诉你当前的进程，停滞的状态，当前最好的结果以及它的可能性，来停止或继续求解器。"

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

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

#: 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 "指定个体选择差分演化法的概率。"

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

#: 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 "… 定义了个体与全局最佳点组合的概率。如果未使用交叉，则采用个体自身内存中的点。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0603200910394216\n"
"help.text"
msgid "DE: Scaling Factor"
msgstr "DE: 缩放系数"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id060320091039424\n"
"help.text"
msgid "During crossover, the scaling factor decides about the “speed” of movement."
msgstr "交叉过程中，缩放系数决定了移动的「速度」。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id060320091039421\n"
"help.text"
msgid "PS: Constriction Coefficient"
msgstr "PS: 收缩系数"

#: 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 "… 定义了部分/个体相互移动的速度。"

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

#: 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 "… 设置自身内存的重要性 (尤其是目前达到的最佳点)。"

#: 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 "… 设置全局最佳点在所有部分/个体间的重要性。"

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id060320091039425\n"
"help.text"
msgid "PS: Mutation Probability"
msgstr "PS: 突变概率"

#: 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 "… 定义了不将部分组件移动到最佳点，而从有效区间为变量随机选择新数值的概率。"

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

#: Options.xhp
msgctxt ""
"Options.xhp\n"
"par_id0603200910401382\n"
"help.text"
msgid "Size of Library"
msgstr "库规模"

#: 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 "···定义存储在公共数据库中的信息量。从而每一个成员可以在其中存储信息和访问信息。"

#: 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>非线性问题求解器;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 还是 SCO，首先您需要到「工具 - 选项 - 求解器」，并设定需要优化的单元格、求解方向 (最小还是最大)，以及为了达到该目标需要更改的单元格。然后您需要在「选项」中指定需要使用的求解引擎；如果有必要您还需要调整相应的<link href=\"com.sun.star.comp.Calc.NLPSolver/Options.xhp\">参数</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 "「<emph>强烈建议</emph>」为所有变量指定上边界。不必与实际结果 (可能未知) 相近，但应该大致推测结果尺寸 (0 ⩽ 变量 ⩽ 1 也可能是 -1000000 ⩽ 变量 ⩽ 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 "也可以选择一或多个变量仅为「<emph>整数</emph>」或<emph>二进制</emph>类型。"

#: help.tree
msgctxt ""
"help.tree\n"
"08\n"
"help_section.text"
msgid "Solver for Nonlinear Problems"
msgstr "非线性问题求解器"

#: help.tree
msgctxt ""
"help.tree\n"
"0816\n"
"node.text"
msgid "Solver for Nonlinear Problems"
msgstr "非线性问题求解器"