Translation components API.

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GET /api/translations/libo_ui-master/nlpsolverhelpencomsunstarcompcalcnlpsolver/bn_IN/units/?format=api
HTTP 200 OK
Allow: GET, POST, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

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                "<bookmark_value>Solver for Nonlinear Problems;Options</bookmark_value>"
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                "<bookmark_value>নন লিনিয়ার প্রোগ্রামিং Solver;বিকল্প</bookmark_value>"
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                "General Options"
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                "সাধারণ বৈশিষ্ট্য"
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            "source": [
                "Size of Swarm"
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                "সোওয়ার্মের মাপ"
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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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                "… শীক্ষার কাজ অংশগ্রহণকারীদের সংখ্যা নির্ধারণ করতে ব্যবহৃত হয়। প্রত্যেক অংশগ্রহণকারী নিজে কোনো সমাধান সন্ধান করেন ও জ্ঞানের ভাণ্ডার বৃদ্ধি করেন।"
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                "Learning Cycles"
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                "শিক্ষার সাইকেল"
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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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                "… অ্যাগোরিদম কতবার সঞ্চালিত হবে তা নির্ধারণ করা হয়। প্রতি বার, প্রত্যেক ব্যক্তি সর্বোত্তম সমাধান রূপে একটি উপায় পেশ করে সেই সম্পর্কে আলোচনা করেন।"
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                "Variable Bounds Guessing"
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                "If enabled (default), the algorithm tries to find variable bounds by looking at the starting values."
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                "সক্রিয় অবস্থায় থাকলে (ডিফল্ট মান), প্রারম্ভিক মানের ভিত্তিতে অ্যালগোরিদম দ্বারা ভেরিয়েবলের সীমা গণনা করা হয়।"
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                "Variable Bounds Threshold"
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                "ভেরিয়বলের সীমা অনুমান"
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                "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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                "ভেরিয়েবলের সীমা নির্ধারণের সময় এই সীমারেখার মাপ অনুযায়ী ধার্য করা হবে প্রারম্ভিক মানগুলি কী ভাবে স্থানান্তর করে সীমা প্রস্তুত করা হবে। এই মানের ব্যবহারের উদাহরণ দেখার জন্য Wiki-তে উপস্থিত Manual পড়ুন।"
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            "source": [
                "Use ACR Comparator"
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                "ACR কমপেরেটর ব্যবহার করা হবে"
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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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                "<emph>নিষ্ক্রিয়</emph> অবস্থায় থাকলে (ডিফল্ট), BCH Comparator ব্যবহার করা হয়। দুটি পৃথক মানের পার্থক্য যাচাই করার জন্য প্রথমে সেগুলির সীমাবদ্ধতার উলঙ্ঘন পরীক্ষা করা হয় এবং যদি এই দুটির পরিমাণ এক হয় তাহলে বর্তমান সমাধানগুলি বিশ্লেষণ করা হয়।"
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                "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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                "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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                "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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                "Specifies the probability for an individual to choose the Differential Evolution strategy."
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                "DE: Crossover Probability"
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                "PS: Social Constant"
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                "PS: Mutation Probability"
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                "SCO-specific Options"
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                "Size of Library"
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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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                "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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                "সম্ভাব্য সমাধানের সীমা নির্ধারণ অথবা সুনির্দিষ্ট পরিস্থিতির জন্য দণ্ড নির্ধারণের জন্য কিছু বাঁধার তালিকা উপস্থিত রয়েছে। কিন্তু উন্নতমাপের solver যেমন DEPS অথবা SCO-র ক্ষেত্রে  সমস্যার ভেরিয়েবলের সীমা নির্ধারণের জন্য এইগুলি ব্যবহার করা যাবে। অ্যালগোরিদমের যথেচ্ছ প্রকৃতির কারণে এর ব্যবহার <emph>বিশেষভাবে প্রস্তাবিত</emph> ও সকল ভেরিয়েবলের জন্য সর্বাধিক সীমা (\"Assume Non-Negative Variables\" বন্ধ থাকলে সর্বনিম্ন সীমাও) নির্ধারণ করা আবশ্যক। প্রকৃত সমাধানের  সমতূল্য না হলেও (কারণ তা অজানা হতে পারে) সম্ভাব্য মানের ইঙ্গিত এর থেকে প্রাপ্ত করার প্রয়াস করা উচিত(0 ≤ var ≤ 1 অথবা সম্ভবত -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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