è¨ç®å¹¾ä½å¦ã¨ã¯ å°å¦çãä¸å¦çã®é ãç®æ°ãæ°å¦ã®ææ¥ã§ãå°å½¢ã®é¢ç©ãæ±ããããç´ç·ã®æ¹ç¨å¼ãè§£ãããããè¨æ¶ã誰ã«ã§ããããã¨ã§ããããè¨ç®å¹¾ä½å¦ã¨ã¯ãã³ã³ãã¥ã¼ã¿ãµã¤ã¨ã³ã¹ã®ç«å ´ããããããããå³å½¢ãã«é¢ããã¢ã«ã´ãªãºã ãç ç©¶ããå¦åã§ããè¨ç®å¹¾ä½å¦ã¯ã仿¥ã®ã³ã³ãã¥ã¼ã¿ã°ã©ãã£ãã¯ã¹ãCADã®çºå±ã«ããã¦ãããã¦éè¦ãªå½¹å²ãæ ã£ã¦ããã»ããå°çæ å ±ã·ã¹ãã ï¼GISï¼ãããããå·¥å¦ã¨ãã£ãæ°å¤ãã®åéã«å¿ç¨ããã¦ãã¾ãã æ¬é£è¼ã§ã¯ãããã°å¯è¦åãµã¤ãã®ãBlogopolisãã§æ¡ç¨ããã¦ããè¨ç®å¹¾ä½çã¢ããã¼ããå¼ãåãã«åºãã¤ã¤ãJavaããã°ã©ã ã§ã¢ã«ã´ãªãºã ãå®è£ ããªãããè¨ç®å¹¾ä½å¦ã®åæ©ãå¦ã³ã¾ãã Blogopolisã¨ãããã¤å³ Blogopolisã¯çè ã®éçºããWebãµã¤ãã§ãä¸»ã«æ¥æ¬å½å ã§éè¨ããã25ä¸ä»¶ä»¥ä¸ã®ããã°ãè§£æãããâ ä»®æ³é½å¸æ¯è¦³ãã¨ãã¦è¦è¦åãããµã¼ã
ã¬ã¼ãã³ã·ã¥ã¿ã¤ã³è·é¢ï¼ã¬ã¼ãã³ã·ã¥ã¿ã¤ã³ããããè±: Levenshtein distanceï¼ã¯ãäºã¤ã®æååãã©ã®ç¨åº¦ç°ãªã£ã¦ãããã示ãè·é¢ã®ä¸ç¨®ã§ãããç·¨éè·é¢ï¼ã¸ããã ãããããè±: edit distanceï¼ã¨ãå¼ã°ãããå ·ä½çã«ã¯ã1æåã®æ¿å ¥ã»åé¤ã»ç½®æã«ãã£ã¦ã䏿¹ã®æååããã䏿¹ã®æååã«å¤å½¢ããã®ã«å¿ è¦ãªæé ã®æå°åæ°ã¨ãã¦å®ç¾©ããã[1]ãåç§°ã¯ã1965å¹´ã«ãããèæ¡ãããã·ã¢ã®å¦è ã¦ã©ã¸ã¼ãã«ã»ã¬ã¼ãã³ã·ã¥ã¿ã¤ã³ (é²: ÐладиÌÐ¼Ð¸Ñ ÐевенÑÑеÌйн) ã«ã¡ãªãã ã¬ã¼ãã³ã·ã¥ã¿ã¤ã³è·é¢ã¯ãåãæåæ°ã®åèªã«å¯¾ããç½®æç·¨éã«ä½¿ããã¦ããããã³ã°è·é¢ã®ä¸è¬åã§ããã¨è¦ãªããã¨ãå¯è½ã§ãããã¬ã¼ãã³ã·ã¥ã¿ã¤ã³è·é¢ã®æ´ãªãä¸è¬åã¨ãã¦ãä¾ãã°ä¸åã®æä½ã§äºæåã夿ããçã®æ¹æ³ãèããããã å®éçãªè·é¢ã®æ±ãæ¹ãä¾ç¤ºããã°ããkittenãããs
ä»åã¯ãæ©æ¢°å¦ç¿ã§ä½¿ãã確çãã®ã話ã§ãã 確çã¯ãçµ±è¨çãªæ©æ¢°å¦ç¿ã®ãã£ã¨ãéè¦ãªåºç¤ç¥èã§ããã¨ã¯ããã確çã«ã¤ãã¦ã¼ããã説æããã¨ããã®ã¯ç´æ°çã«ãå³ããããã髿 ¡ã®ç¢ºçãå°ãæ¶ãã¦ãããããï¼æå¾ å¤ãæ¨æºåå·®ãªã©ï¼ãåæã¨ãããâ 髿 ¡ã®ç¢ºçãã¨ãæ©æ¢°å¦ç¿ã®ç¢ºçãã®æ¬è³ªçãªç¸éç¹ã«ã¤ãã¦ãå°ãä¸å¯§ã«è¦ã¦ãããã¨ããå½¢ã§é²ãã¦ããã¾ãã æ©æ¢°å¦ç¿ã¨ç¢ºç æåã«ãæ©æ¢°å¦ç¿ã«ã¨ã£ã¦ç¢ºçã¯ã©ãããå½¹å²ãªã®ãã確èªãã¦ããã¾ãããã å®ã®ã¨ãããæ©æ¢°å¦ç¿ã«ç¢ºçãå¿ é ã¨ããããã§ã¯ããã¾ããããã¥ã¼ã©ã«ãããã¯ã¼ã¯ããµãã¼ããã¯ã¿ã¼ãã·ã³ãªã©ã®æåãªææ³ãã確çãç¨ããªãæ©æ¢°å¦ç¿ãã§ããããã®ä»ã«ãæ°å¤ãã®ææ³ãããã¾ãããããããâ 確çãç¨ããªãæ©æ¢°å¦ç¿ãã®å¤ãã¯ããâ çµæã®ã©ã³ãã³ã°ãä½ãã¥ããï¼è©ä¾¡å¤ã®å¤§å°ã«æå³ããªãâ ï¼â ãâ ãâ æ¡ä»¶ãç°ãªãå ´åã®çµæãæ¯è¼ã§ããªãããªã©ã®æ¬ ç¹ãããã¾
ã¹ã¿ã¼ãªã³ã°ã®å ¬å¼ã¯ã©ã³ãã¦ã®è¨å·ãç¨ãã¦ã¨æ¸ããã¨ãã§ããã ã©ã³ãã¦ã®è¨å·ï¼ã©ã³ãã¦ã®ããããè±: Landau symbolï¼ã¯ã主ã«é¢æ°ã®æ¥µéã«ãããæ¼¸è¿çãªæåãæ¯è¼ããã¨ãã«ç¨ããããè¨æ³ã§ãããè±èªåã§ã¯ä¸è¬çã«ããã°ã»ãªã¼ï¼Big Oï¼ã¨å¼ã°ããã ã©ã³ãã¦ã®æ¼¸è¿è¨æ³ (asymptotic notation)ãã©ã³ãã¦è¨æ³ (Landau notation) ãããã¯ä¸»è¦ãªè¨å·ã¨ã㦠O ï¼æ°åã®0ã§ã¯ãªãï¼ãç¨ãããã¨ããï¼ããããã³-ã©ã³ãã¦ã®ï¼O-è¨æ³ (Bachmann-Landau O-notation[1])ãªã©ã¨ãããã è¨å· O ã¯ãã¤ãèªã®Ordnungã®é åã«ã¡ãªã[2]ã ãªãããã§ããã©ã³ãã¦ã¯ã¨ãã ã³ãã»ã©ã³ãã¦ã®äºã§ããããçè«ç©ç妿ç¨ãã®èè ã§ããã¬ãã»ã©ã³ãã¦ã¨ã¯å¥äººã§ããã ã©ã³ãã¦ã®è¨å·ã¯æ°å¦ãè¨ç®æ©ç§å¦ãã¯ããã¨ããæ§ã ãªåéã§ç¨ã
ã¯ããã« æãããããã°ã©ãã®ä¸ã§é åå ã®è¦ç´ ãæ´åããããããã½ã¼ãã«ãä¸è©±ã«ãªããªãã£ã人ãã¨ããã®ã¯ä½ãèããããªãã®ã§ã¯ãªãã§ãããããããããã¨ã¯ããã大æµã¯ã½ã¼ããèªåã§å®è£ ãããçµã¿è¾¼ã¿é¢æ°ã§ãã£ããããããã¯ä½ããã®ã©ã¤ãã©ãªã§æ¸ã¾ãããã¨ãæ®ã©ã ã¨æãã è»è¼ªã®åçºæã¨ãããããããã°ã¨ããèªåãèæ ®ãã¦ããªãã£ãæåãªã©ãé¿ããããã«ãèªåã§ã½ã¼ããçµããã¨ã¯ä½ããªãã®ã§ãããã¨ã¯ãããèªåãªãã«ã½ã¼ããå®è£ ãã¦è¦ãã¨ããããã©ãããç¹å¾´ãæã£ãã½ã¼ãã§ããããã¨ããã®ããããã¾ãããã¾ããã½ã¼ãã¨ããã®ã¯ãã£ããã©ãããæä½ã§å®ç¾ãããã®ãã¨ããæ´å¯ãæ·±ã¾ã£ã¦ãããªããã¨ãã宿ããã£ããããã ãªã®ã§ãä»åã¯ããã½ã¼ãäºã¤ã«ã¤ãã¦ã®è©±ãæ¸ãã®ãè¶£æ¨ã§ãã æé«ã®ã¢ã«ã´ãªãºã ã¯ãããã ãææªã®ã¢ã«ã´ãªãºã ã¯ä½ã ä¸å£ã«ã½ã¼ãã¨ãã£ãã¨ããã§ãã½ã¼ãèªä½ã«ãéã®å¼¾ä¸¸ãã
å¹³æ¹æ°ã¨ã¯ãããæ´æ°ã®å¹³æ¹ï¼ï¼äºä¹ï¼ã§ãããããªæ´æ°ã®ãã¨ãè¨ãã¾ããã¤ã¾ãã0,1,4,9,16,...ãå¹³æ¹æ°ã¨ãããã¨ã«ãªãã¾ãã ã¨ããã§ãä¸ããããæ´æ°ãå¹³æ¹æ°ãã©ãããå¤å®ããã«ã¯ã©ãããã°è¯ãã§ãããããä¸ããããæ´æ°ã®å¹³æ¹æ ¹ã®å°æ°ç¹ä»¥ä¸ãåãæ¨ã¦ããããäºä¹ãã¦å ã®æ°ã«ãªããã©ãããã¨ããã®ãããæãã¤ãå®è£ ã§ãã <?php function is_square($n) { $sqrt = floor(sqrt($n)); return ($sqrt*$sqrt == $n); } ããããå¹³æ¹æ ¹ã®è¨ç®ã¯æ¯è¼çéãå¦çã§ãããã£ã¨é«éåããæ¹æ³ã¯ç¡ãã®ã§ããããã å¤åé·æ´æ°æ¼ç®ã©ã¤ãã©ãªGNU MPã«ã¯å¹³æ¹æ°ãã©ãããå¤å®ããmpz_perfect_square_p颿°ãåå¨ãã¾ãï¼PHPã§ãgmp_perfect_square颿°ã¨ãã¦å©ç¨ã§ãã¾ãï¼ãæ¬ç¨¿ã§ã¯ãã®å®è£
æãå®¶ã®æ¸æã«ã®John Conwayã¸ã®ã¤ã³ã¿ãã¥ã¼(Scientific American, 1999å¹´4æå·)ã®å¤ãã³ãã¼ããã£ã. ããã«ããã¨, Conwayã¯æ¥ä»ããæ æ¥ãç®åºããã®ã徿ã§ãã£ãããã. ãã¡ããããã«ã¯ç·´ç¿ããã. è¨ ç®æ©ã«ãã°ã¤ã³ããæ, ã©ã³ãã ã«æ¥ä»ãæç¤ºããããã«ã, ãã®ææ¥ã æç®ãã¦ç·´ç¿ããã¨ãã. 2ç§ä»¥å ã§æ£è§£ãå¾ãããããã«ãªã£ãã¨æ¸ã ã¦ãã£ãããé©ãã§ãã. ç«æå¤§å¦ã®å³¶å å çãææ¥ã®è¨ç®ã¯ç´ æ©ã, ãã®è©±ã¯ãã¤ããã®ãã®ãã ã°ã«ãã§ã«è¨è¿°ããéãã§ãã. ç§ãææ¥ã®é«éè¨ç®ãé ãè¸ã«ãããã, ã©ãããã°ããã. ãã¤ãã¯ã ãã°ã«ãä½åº¦ãæ¸ããä¾ã® 2,5,5,...ã®è¡¨ã使ã. 彿¥ã¨åãå¹´å ã®ãã¨ã ã¨, Doomsdayæ¹å¼ã便å©ã§, ä»å¹´(2025å¹´)ã¯ãéæããè¦ãã¦ããã ãã§ ãã. Conwayã®ææ¥è¨ç®ã¯Do
2008/04/11 ãã¹ã¦ã®æå·ã¯ãããç ´ãããã2000å¹´åã®ã·ã¼ã¶ã¼æå·ã®æä»£ããé«åº¦ãªæå·æè¡ãä¸è¬åãããã¸ã¿ã«éä¿¡ã®ç¾ä»£ã«è³ãã¾ã§ããããæå·éä¿¡ã®æ´å²ã証æãç¶ããäºå®ã§ããã¨åæã«ããã£ã¨ã人å£ã«è¾çããã¯ãªã·ã§ã§ããã£ããä¾ãã°ãé³´ãç©å ¥ãã§ãªãªã¼ã¹ãããDVDã®ã³ã³ãã³ãæå·æè¡ãCSSãï¼Content Scramble Systemï¼ãããªãªã¼ã¹ãããããæ°å¹´ã§10代ã®ãã«ã¦ã§ã¼äººããã«ã¼ã«ç ´ããããã¨ã¯è¨æ¶ã«æ°ããã ã追è¨ãï¼2008å¹´4æ15æ¥ï¼ ãã®è¨äºã¯åæã«åºã¥ãã¦å·çãããã®ã§ãããä¸é¨å°éå®¶ããããCABæ¹å¼æå·ã¯è§£èªä¸è½ãã¨ããã®ã¯èªå¤§è¡¨ç¾ã§ã¯ãªããã¨ã®ç義ãåããã¦ãã¾ããã¢ã«ã´ãªãºã ã®å ¬éã第ä¸è ã«ããæ¤è¨¼ããªãç¾å¨ããã®è¨äºã«ç»å ´ããCABæ¹å¼ãçºæ¡è ã»å®è£ è ã®ä¸»å¼µéãç»æçãªæå·æ¹å¼ã§ãæ¬å½ã«è§£èªãä¸å¯è½ã§ãããã©ããåããã¾ãããç¾å¨ãå°
The Witcher Season 4 will hit Netflix in October with its new GeraltNetflix dropped a new teaser trailer for the upcoming fourth season, giving us a better look at Liam Hemsworth as Geralt of Rivia. Some much-needed upgrades are coming to Powerbeats Pro 2 with iOS 26iOS 26 brings better heart rate monitoring to Beats' Powerbeats Pro 2, along with improved hands-free gestures and single-bud trackin
é岡çå·¥ç§å¤§å¦æ å ±å¦é¨ã³ã³ãã¥ã¼ã¿ã·ã¹ãã å¦ç§è æ²¼ç 究室ã®ãã¼ã¸ã§ãï¼ä¸»ã¨ãã¦ï¼ããã°ã©ãã³ã°è¨èªï¼ HTMLï¼C/C++, Java, JavaScript, PHP, HTMLï¼VBï¼C# ï¼ï¼åã³ï¼ã·ã¹ãã ã¨ã³ã¸ãã¢ã¨ãã¦ã®åºç¤ç¥èï¼æ°å¦ï¼ãªãã¬ã¼ã·ã§ã³ãºã»ãªãµã¼ããã·ã¹ãã å·¥å¦é¢é£ã®ææ³ï¼ãæ±ã£ã¦ãã¾ãï¼
ï¼ç¹éã®è·é¢ã®è¨ç®ã§ã¯å¹³æ¹æ ¹ãå¿ è¦ã«ãªãã¾ãããå¹³æ¹æ ¹ã¯å°ãéãè¨ç®ã§ããã¨ãããã¨ã§ãå¹³æ¹æ ¹ã使ãããæãç®ã»å²ãç®ã»è¶³ãç®ã¨çµ¶å¯¾å¤ã»æå¤§ã»æå°ã ãã§è·é¢ãè¿ä¼¼ããæ¹æ³ã«ã¤ãã¦ã®è¨äºã翻訳ãã¦ã¿ã¾ããã flipcode - Fast Approximate Distance Functions (12:02 è£è¶³ï¼ããããä»ã®æ¨æºçãªCPUã§ããæå³ã¯ã»ã¨ãã©ãªãã¨æãã¾ããè¿ä¼¼ã®ã¢ããã¼ãã¨ãã¦é¢ç½ãã¨ãããããã®è©±ãZ80ã§ããã¾ããã) è·é¢é¢æ°é«éè¿ä¼¼ by Rafael Baptista (27 June 2003) ï¼ç¹éã®ã¦ã¼ã¯ãªããè·é¢ãæ±ããè¨ç®å¼ã¯æ¬¡ã®ããã«ãªãã äºæ¬¡å ã§ã¯æ¬¡ã®ããã«ãªãã ãã®é¢æ°ã®è¨ç®ã«ã¯ãå¹³æ¹æ ¹ãå¿ è¦ã«ãªããããã¯æè¿ã®ã³ã³ãã¥ã¼ã¿ã§ãé«ä¾¡ãªè¨ç®ã§ãããå¹³æ¹æ ¹ã¯é次è¿ä¼¼ã«ãã£ã¦æ±ãããããã¤ã¾ããã³ã³ãã¥ã¼ã¿ã¯å¹³æ¹æ ¹è¿ä¼¼ã®ã«ã¼ããè¡ã£ã¦ãä¸ã
2007å¹´11æ26æ¥18:15 ã«ãã´ãªMathLightweight Languages ããã°ã©ãã¼ã§ãªãã¦ãååãããè¦ãã¦ããããã¢ã«ã´ãªãºã x10 ãã㣠ããªããä¸çªå¥½ããªã¢ã«ã´ãªãºã ãæãã¦ãã ããã ã¾ãããã®çç±ãã©ããªç¹ã好ããªã®ããæãã¦ãã ããã - äººåæ¤ç´¢ã¯ã¦ãª ãªãããã£ã¦ãã¦ãããã¨ããã¨ãå®ã¯ãã§ã«ã¢ã«ã´ãªãºã æ¬ã®çºæ³¨ãåãã¦ãããããªã®ã ããã¤ã¾ã§ãä¼ãã¦ããã®ããªããªã®ã§ãããã«ãããã£ã¨discloseãã¦ãã¾ããã¨ã«ããã ã¢ã«ã´ãªãºã 大åé!ãC&Rç ç©¶æ - ããããã¼ã¸ ãã®ä¸æ¸ããããã¦ãããã§ãç´¹ä»ããªãããã«è¡ããªãã¡ã¸ã£ã¼ãªã¢ã«ã´ãªãºã ãã¨ãããã10åç´¹ä»ãã¦ãããã¨ã«ããã ã¦ã¼ã¯ãªããã®äºé¤æ³(Euclidean algorithm) ãã®æ(æ°ç¾å¹´ã»ã©å)ã¯ãã¢ã«ã´ãªãºã ãã¨ããã°ããæé ä¸è¬ããæãã®ã§ã¯ãªãããã®ãäºé¤æ³
2010å¹´ï½2011å¹´ã«ç¤¾å ã§éå¬ããæ©æ¢°å¦ç¿åå¼·ä¼ã®ããã¿ã¼ã³èªèã¨æ©æ¢°å¦ç¿ãèªæ¸ä¼ã§ãå æãããç´ æ´ãããã¢ã³ãã§ã³ãä½ã£ã¦ããã¾ãããPDFãã¡ã¤ã«ã¯æ¢ã«github ä¸ã§å ¬éããã¦ãã¾ããããã®ã¾ã¾åããããã¦ããã®ã¯ãã£ãããªãã¨ãããã¨ã§ãæé»éä¿¡å£ã®å人èªã¨ãã¦æ£å¼ã«åºçããããã¨ã決ã¾ãã¾ããã ⻠表ç´ã®ãã¶ã¤ã³ã¯ä»å¾å¤æ´ãããå¯è½æ§ãããã¾ãã ç®æ¬¡ã¯ä»¥ä¸ã®éãã§ãã 第 1 ç« Â ãåºè«ãã®ããã®ç¢ºçç¨èª 1.1    確ç夿°ã¯å¤æ°ãªã®ã.............................. 7 1.1.1  確ç空é(â¦, F, P)............................. 7 1.1.2Â Â Ï å æ³æ..................................... 8 1.1.3  確ç夿°X..........
ãªãªã¼ã¹ãé害æ å ±ãªã©ã®ãµã¼ãã¹ã®ãç¥ãã
ææ°ã®äººæ°ã¨ã³ããªã¼ã®é ä¿¡
å¦çãå®è¡ä¸ã§ã
j次ã®ããã¯ãã¼ã¯
kåã®ããã¯ãã¼ã¯
lãã¨ã§èªã
eã³ã¡ã³ãä¸è¦§ãéã
oãã¼ã¸ãéã
{{#tags}}- {{label}}
{{/tags}}