{"id":16167,"date":"2024-03-28T02:52:35","date_gmt":"2024-03-27T17:52:35","guid":{"rendered":"https:\/\/zelkova-tree.net\/WordPress\/?p=16167"},"modified":"2024-03-28T19:15:10","modified_gmt":"2024-03-28T10:15:10","slug":"%e3%82%88%e3%81%86%e3%82%84%e3%81%8f%e7%89%87%e4%bb%98%e3%81%84%e3%81%9f","status":"publish","type":"post","link":"https:\/\/zelkova-tree.net\/WordPress\/2024\/03\/28\/%e3%82%88%e3%81%86%e3%82%84%e3%81%8f%e7%89%87%e4%bb%98%e3%81%84%e3%81%9f\/","title":{"rendered":"\u3088\u3046\u3084\u304f\u7247\u4ed8\u3044\u305f"},"content":{"rendered":"

<\/p>\n

\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u5c11\u3057\u6539\u9020\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\uff0e<\/p>\n

    \n
  1. precision \u3092\u5b9a\u6570\u3067\u4e0e\u3048\u308b\u3000\u25ef<\/li>\n
  2. initialpoint\u3092\u5192\u982d\u3067\u5b9a\u7fa9\u3059\u308b\u3000\u25ef<\/li>\n
  3. setprecision \u30d6\u30ed\u30c3\u30af\u5185\u306e\u51e6\u7406\u306f\u3059\u3079\u3066\u5e73\u5834\u3067\u5b9f\u65bd\u3059\u308b\u3000\u25b3<\/li>\n
  4. \u7279\u6027\u95a2\u6570\u3092 y = (x-a)^2+b \u306e\u5f62\u5f0f\u306b\u5909\u66f4\u3059\u308b\u3000X<\/li>\n
  5. \u7279\u6027\u65b9\u7a0b\u5f0f x=(x-a)^2+b \u306e\u89e3\u3092\u3042\u3089\u304b\u3058\u3081\u53d6\u308a\u51fa\u3057\u3066\u304a\u304f\u3000\u25ef<\/li>\n
  6. \u305d\u306e\u4ed6\u306e\u30d1\u30e9\u30e1\u30fc\u30bf\u3082\u5909\u6570\u8868\u793a\u3057\u3066\u3042\u3089\u304b\u3058\u3081\u8a08\u7b97\u3057\u3066\u304a\u304f\u3000\u25b3<\/li>\n<\/ol>\n

    \u3053\u308c\u306f\u4f55\u3060\uff1f\u307e\u3060\u5348\u5f8c\uff19\u6642\u3068\u3044\u3046\u306e\u306b\u2026 <\/p>\n

    \"image\"<\/a><\/p>\n

    \u3053\u308c\u306f\u3053\u308c\u307e\u3067\u306e\u30ec\u30b3\u30fc\u30c9\u3067\u306f\u306a\u3044\u3060\u308d\u3046\u304b\uff1f\u305f\u3060\u3057\uff0c\u305d\u308c\u307b\u3069\u4f38\u3073\u306a\u304b\u3063\u305f\u3088\u3046\u3060\uff0e2000\u306f\u8d85\u3048\u306a\u304b\u3063\u305f\u6a21\u69d8\uff0e<\/p>\n

    \u521d\u671f\u5024\u30922\u304b\u3089100\u306b\u5909\u66f4\u3057\u305f\u3060\u3051\u3067\u30a8\u30e9\u30fc\u304c\u8d77\u304d\u3066\u3057\u307e\u3063\u305f\uff0e10\u306a\u3089\u3070\u52d5\u4f5c\u3059\u308b\uff0e-10\u306b\u3057\u305f\u3089\uff0c\u4eca\u5ea6\u306fDrawLines\u3067\u505c\u6b62\u3059\u308b\u3088\u3046\u306b\u306a\u3063\u305f\uff0e\u21d2\u3053\u308c\u306f\u308f\u305f\u3057\u306e\u30df\u30b9\u3060\uff0e\u6839\u53f7\u306e\u4e2d\u306e\u5909\u6570\u306b\u8ca0\u5024\u3092\u4e0e\u3048\u3066\u3044\u305f\uff0e\u221a(5+x)\u306a\u306e\u3067\uff0c-5\u3088\u308a\u5c0f\u3055\u3044\u5024\u306f\u6e21\u305b\u306a\u3044\uff0e\u3057\u304b\u3057\uff0c\u221a(20+x)\u3068\u3057\u3066\u3082\uff0c\u30a8\u30e9\u30fc\u306f\u89e3\u6d88\u3057\u306a\u3044\uff0e\u4eca\u5ea6\u306f setprecision \u306e\u30a8\u30e9\u30fc\u3060\uff0e<\/p>\n

    NaN result for non-NaN input<\/p>\n

    \u3069\u3046\u3082\uff0c\u30b7\u30b0\u30cd\u30fc\u30c1\u30e3\u306e\u7570\u306a\u308b\u547c\u3073\u51fa\u3057\u3092\u5b9f\u884c\u3057\u3088\u3046\u3068\u3057\u3066\u3044\u308b\u3088\u3046\u3060\uff0e\u21d2setprecision\u3092\u5f15\u6570\u4e00\u3064\u306e\u4e00\u756a\u30b7\u30f3\u30d7\u30eb\u306a\u30bf\u30a4\u30d7\u306b\u66f8\u304d\u63db\u3048\u3066\u52d5\u4f5c\u3059\u308b\u3088\u3046\u306b\u306a\u3063\u305f\uff0e\u3057\u304b\u3057\uff0c\u521d\u671f\u5024100\u3067\u306f\u307e\u3060\u30a8\u30e9\u30fc\u306b\u306a\u308b\uff0e\u4eca\u5ea6\u306f\u3000UndefVarError: `Rounding` not defined \u306b\u5909\u308f\u3063\u305f\uff0e<\/p>\n

    \u521d\u671f\u502420\u306a\u3089\u52d5\u4f5c\u3059\u308b\uff0e\u521d\u671f\u5024\u306b\u3088\u3063\u3066\u52d5\u4f5c\u304c\u5909\u308f\u308b\u3068\u3044\u3046\u3068\u3053\u308d\u304c\u6c17\u306b\u98df\u308f\u306a\u3044\u3068\u3053\u308d\u3060\uff0e\u3069\u3046\u3082\uff0c\u3053\u306e setprecision \u3068\u3044\u3046\u95a2\u6570\u306f\u672c\u5f53\u306b\u59cb\u672b\u306b\u60aa\u3044\u95a2\u6570\u3060\uff0e\u4eca\u5ea6\u306f<\/p>\n

    BoundsError: attempt to access 920-element Vector{UInt8} at index [923]<\/p>\n

    \u3069\u3046\u306a\u3063\u3066\u3044\u308b\u306e\u304b\uff1f\u8a33\u304c\u5206\u304b\u3089\u306a\u3044\uff0e\u21d2\u308f\u304b\u3063\u305f\uff0e\u304a\u305d\u3089\u304f\u3053\u308c\u306f\u6d6e\u52d5\u5c0f\u6570\u70b9\u6570\u306e\u6307\u6570\u90e8\u306e\u30ec\u30f3\u30b8\u30ed\u30fc\u30d0\u30fc\u3060\uff0e\u3053\u3053\u3067\u30ec\u30f3\u30b8\u30aa\u30fc\u30d0\u30fc\u3059\u308b\u3068\u3044\u3046\u3053\u3068\u306f\u3053\u306e\u6570\u5024\u306f\u3059\u3067\u306b\u8d85\u5de8\u5927\u6570\u306b\u306a\u3063\u3066\u3044\u308b\u3053\u3068\u3092\u610f\u5473\u3059\u308b\uff0e\u3064\u307e\u308a\uff0cBigFloat\u3067\u3082\u6271\u3048\u306a\u3044\u307b\u3069\u306e\u6570\u3068\u3044\u3046\u3053\u3068\u306b\u306a\u308b\uff0eprecision\u306f\u4eee\u6570\u90e8\u306e\u30d3\u30c3\u30c8\u6570\u306a\u306e\u3067\uff0c\u3053\u308c\u304c\u3069\u308c\u307b\u3069\u5927\u304d\u304f\u3066\u3082\u7121\u95a2\u4fc2\u3060\uff0e\u21d2\u3056\u3063\u3068\u898b\u305f\u9650\u308a\u3067\u306f\u3053\u306e\u30ec\u30f3\u30b8\u3092\u5909\u66f4\u3059\u308b\u624b\u6bb5\u306f\u306a\u3044\u3088\u3046\u306b\u601d\u308f\u308c\u308b\uff0e\u3053\u3053\u3067\u306f\uff0c\u30a8\u30e9\u30fc\u3067\u8131\u51fa\u3059\u308b\u3057\u304b\u306a\u3044\u3060\u308d\u3046\uff0e<\/p>\n

    https:\/\/discourse.julialang.org\/t\/cumbersome-scoping-rules-for-try-catch-finally\/4582<\/a><\/p>\n

    \u3088\u3046\u3084\u304f\u7247\u4ed8\u3044\u305f\uff0e\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u624b\u5f53\u3057\u3066\u5207\u308a\u629c\u3051\u305f\uff0e<\/p>\n

      \n
    1. \u4efb\u610f\u7cbe\u5ea6\u6d6e\u52d5\u5c0f\u6570\u70b9\u6570\u3067\u306f\u4eee\u6570\u90e8\u306e\u30d3\u30c3\u30c8\u6570\u306f\u6307\u5b9a\u3067\u304d\u308b\u304c\uff0c\u6307\u6570\u90e8\u3092\u8a2d\u5b9a\u3067\u304d\u306a\u3044\u306e\u3067\uff0c\u5de8\u5927\u6574\u6570\u3067\u306f\u4f8b\u5916\u304c\u767a\u751f\u3059\u308b\uff0e\u3053\u308c\u3092\u51e6\u7406\u3059\u308b\u305f\u3081\u306b try\u30fbcatch \u30d6\u30ed\u30c3\u30af\u3092\u8a2d\u3051\u305f\u304c\uff0ccatch \u30d6\u30ed\u30c3\u30af\u3067\u306f\u5916\u90e8\u5909\u6570\u3092\u53c2\u7167\u3067\u304d\u306a\u3044\u306a\u3069\uff0c\u3044\u308d\u3044\u308d\u3068\u5236\u7d04\u304c\u3042\u308b\uff0e<\/li>\n
    2. \u3053\u306e\u305f\u3081\uff0ctry\u30fbcatch \u30d6\u30ed\u30c3\u30af \u3092\u6700\u4e0a\u5c64\u306b\u4ed5\u639b\u3051\u3066\uff0ccatch \u30d6\u30ed\u30c3\u30af\u306e\u4e2d\u3067\u306f\u30d5\u30e9\u30b0\u3092\u7acb\u3066\u308b\u3060\u3051\u3067\u629c\u3051\u308b\u3088\u3046\u306b\u3057\u305f\uff0e\u5f8c\u51e6\u7406\u3092 catch \u30d6\u30ed\u30c3\u30af\u306e\u4e2d\u3067\u5b9f\u884c\u3057\u3088\u3046\u3068\u3059\u308b\u3068\uff0c\u52d5\u4f5c\u304c\u304a\u304b\u3057\u304f\u306a\u308b\uff0e<\/li>\n
    3. \u5f8c\u51e6\u7406\u306f\u6700\u4e0a\u5c64\u306b\u623b\u3063\u3066\u304b\u3089\u5b9f\u884c\u3059\u308b\u3088\u3046\u306b\u3057\u305f\uff0e\u5f8c\u51e6\u7406\u3067\u306f\uff0c\u4f8b\u5916\u304c\u767a\u751f\u3057\u3066\u3054\u7834\u7b97\u306b\u306a\u3063\u305f\u8a08\u7b97\u3092\u5b89\u5168\u306b\u8a08\u7b97\u3067\u304d\u308b\u7bc4\u56f2\u3067\u518d\u8a08\u7b97\u3059\u308b\uff0e\u3053\u306e\u305f\u3081\u306b\uff0cmaxloop \u3092\u66f8\u304d\u76f4\u3057\u3066\uff0cCalcTrajectory \u3092\u518d\u5b9f\u884c\u3057\u3066\u3044\u308b\uff0e<\/li>\n<\/ol>\n

      \u4e00\u5fdc\u3053\u308c\u3067\u7247\u4ed8\u3044\u305f\u304c\uff0c\u307e\u3060\u8ecc\u8de1\u306f\u63cf\u753b\u3067\u304d\u3066\u3044\u306a\u3044\uff0e\u30a2\u30cb\u30e1\u306b\u306f\u53ce\u9332\u3055\u308c\u3066\u3044\u308b\u306e\u3060\u304c\u2026 \u591a\u5206\u3053\u308c\u306f\u3069\u3053\u304b\u3067\u8abf\u6574\u3067\u304d\u308b\u3060\u308d\u3046\uff0e\u21d2\u3068\u308a\u3042\u3048\u305a\u51fa\u308b\u3088\u3046\u306b\u306a\u3063\u305f\u306e\u3067\uff0c\u3088\u3057\u3068\u3057\u3066\u304a\u3053\u3046\uff0e\u5927\u90e8\u6271\u3044\u6613\u304f\u306a\u3063\u305f\uff0e<\/p>\n

      \"image\"<\/a><\/p>\n

      \u3042\u3068\u306f\uff0c\u6700\u4f4e\u9650\uff0c\u4e0d\u52d5\u70b9\u3092\u63cf\u753b\u3059\u308b\u3060\u3051\u3060\u304c\uff0c\u3053\u308c\u3092\u81ea\u52d5\u8a08\u7b97\u3059\u308b\u3053\u3068\u306f\u3067\u304d\u306a\u3044\u3060\u308d\u3046\u304b\uff1f\u3068\u3082\u304b\u304f\uff0c\u4e00\u5ea6\u30d0\u30c3\u30af\u30a2\u30c3\u30d7\u3057\u3066\u304a\u3053\u3046\uff0e\u21d2Julia \u306b\u306f\u3044\u304f\u3064\u304bsolver\u30d1\u30c3\u30b1\u30fc\u30b8\u304c\u3042\u308b\uff0eRoots.jl\uff0cNLsolve.jl\u2026 NLsolve \u306b\u306f x=F(x)\u3092\u89e3\u304f\u6a5f\u80fd\u307e\u3067\u5099\u308f\u3063\u3066\u3044\u308b\u3088\u3046\u3060\uff0eNL\u3068\u3044\u3046\u306e\u306fnon-linear\u3068\u3044\u3046\u610f\u5473\u3060\uff0eRoots \u3067\u306f\u63a2\u7d22\u7bc4\u56f2\u3092\u6307\u5b9a\u3057\u306a\u304f\u3066\u306f\u306a\u3089\u306a\u3044\u3068\u3053\u308d\u304c\u3084\u3084\u96e3\u3060\uff0e\u3057\u304b\u3057\uff0c\u871c\u5929\u6cd5\u3088\u308a\u306f\u307e\u3057\u304b\u3082\u3057\u308c\u306a\u3044\uff0e\u871c\u5929\u6cd5\u3067\u306f\u898b\u3064\u304b\u3063\u305f\u3068\u3057\u3066\u3082\u4e00\u3064\u3060\u3051\u3060\uff0eNLsolve\u306f\u4e8c\u5909\u6570\u4ee5\u4e0a\u306e\u65b9\u7a0b\u5f0f\u304c\u89e3\u3051\u308b\uff0e\u4eca\u306e\u3068\u3053\u308d\u306f\u305d\u3053\u307e\u3067\u5fc5\u8981\u306a\u3044\u306e\u3067\uff0cRoots\u3067\u3086\u304f\u3053\u3068\u306b\u3059\u308b\uff0e\u21d2\u30d5\u30a9\u30eb\u30c0\u540d\u3092\u871c\u8702\u5929\u56fd\u306b\u5909\u3048\u305f\uff0e<\/p>\n

      \u3069\u3046\u3082\uff0cfind_zero\u306e\u5f15\u6570\uff58\u306fFloat64\u307e\u3067\u3057\u304b\u4f7f\u3048\u306a\u3044\u3088\u3046\u3060\uff0e<\/p>\n

      <\/p>\n

      <\/font><\/p>\n","protected":false},"excerpt":{"rendered":"

      \u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u5c11\u3057\u6539\u9020\u3059\u308b\u5fc5\u8981\u304c\u3042\u308b\uff0e precision \u3092\u5b9a\u6570\u3067\u4e0e\u3048\u308b\u3000\u25ef initialpoint\u3092\u5192\u982d\u3067\u5b9a\u7fa9\u3059\u308b\u3000\u25ef setprecision \u30d6\u30ed\u30c3\u30af\u5185\u306e\u51e6\u7406\u306f\u3059\u3079\u3066\u5e73\u5834\u3067\u5b9f\u65bd\u3059\u308b\u3000\u25b3 \u7279\u6027\u95a2\u6570\u3092 y = (x- … <\/p>\n

      “\u3088\u3046\u3084\u304f\u7247\u4ed8\u3044\u305f” \u306e<\/span>\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4],"tags":[],"_links":{"self":[{"href":"https:\/\/zelkova-tree.net\/WordPress\/wp-json\/wp\/v2\/posts\/16167"}],"collection":[{"href":"https:\/\/zelkova-tree.net\/WordPress\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/zelkova-tree.net\/WordPress\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/zelkova-tree.net\/WordPress\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/zelkova-tree.net\/WordPress\/wp-json\/wp\/v2\/comments?post=16167"}],"version-history":[{"count":6,"href":"https:\/\/zelkova-tree.net\/WordPress\/wp-json\/wp\/v2\/posts\/16167\/revisions"}],"predecessor-version":[{"id":16175,"href":"https:\/\/zelkova-tree.net\/WordPress\/wp-json\/wp\/v2\/posts\/16167\/revisions\/16175"}],"wp:attachment":[{"href":"https:\/\/zelkova-tree.net\/WordPress\/wp-json\/wp\/v2\/media?parent=16167"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/zelkova-tree.net\/WordPress\/wp-json\/wp\/v2\/categories?post=16167"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/zelkova-tree.net\/WordPress\/wp-json\/wp\/v2\/tags?post=16167"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}