投稿時間:2023-05-02 13:15:39 RSSフィード2023-05-02 13:00 分まとめ(18件)

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IT	ITmedia 総合記事一覧	[ITmedia Mobile] AIの危険性を訴えるマスク氏が、なぜAIチャットbot「TruthGPT」を開発するのか	https://www.itmedia.co.jp/mobile/articles/2305/02/news101.html	itmediamobileai	2023-05-02 12:40:00
IT	ITmedia 総合記事一覧	[ITmedia News] Apple初の「緊急セキュリティ対応」、iPhoneやiPad、Macユーザーはアップデートを	https://www.itmedia.co.jp/news/articles/2305/02/news099.html	apple	2023-05-02 12:40:00
IT	ITmedia 総合記事一覧	[ITmedia ビジネスオンライン] 給与のデジタル払い「導入予定」の中小企業は1.9％　「メリットを感じない」の声も	https://www.itmedia.co.jp/business/articles/2305/02/news078.html	itmedia	2023-05-02 12:25:00
IT	ITmedia 総合記事一覧	[ITmedia Mobile] IIJmio、「スマホ大特価セール」を5月31日まで延長　「OPPO A55s 5G」が一括550円	https://www.itmedia.co.jp/mobile/articles/2305/02/news098.html	itmediamobileiijmio	2023-05-02 12:05:00
python	Pythonタグが付けられた新着投稿 - Qiita	Codespacesでdashサンプルアプリ作成	https://qiita.com/amashita/items/72cff72f822b93c71416	codespaces	2023-05-02 12:03:44
Linux	Ubuntuタグが付けられた新着投稿 - Qiita	Ubuntu LinuxでPATHにカスタムパスを追加する	https://qiita.com/cidrugHug8/items/ef289f23fa035474e16c	exportpathpathcustompa	2023-05-02 12:08:49
AWS	AWSタグが付けられた新着投稿 - Qiita	Auto Scalingの世界	https://qiita.com/matuumo/items/37c54f2d3322737aff46	autoscaling	2023-05-02 12:12:29
Azure	Azureタグが付けられた新着投稿 - Qiita	AZ-900資格の取得体験	https://qiita.com/T-M-H/items/2a29dd38f3de63679334	azure	2023-05-02 12:28:44
Azure	Azureタグが付けられた新着投稿 - Qiita	SFTP機能が有効になっているAzure Storage Accountを特定する	https://qiita.com/shingo_kawahara/items/e24590618be143622a2d	azurestorageaccount	2023-05-02 12:13:31
技術ブログ	Developers.IO	MariaDB メジャーバージョンアップグレードの際に「Current Parameter Group (カスタムパラメータグループ名) is non-default. You need to explicitly specify a new Parameter Group in this case (default or custom)」エラーが発生した場合の対処方法	https://dev.classmethod.jp/articles/tsnote-mariadb-custmpar-01/		2023-05-02 03:20:19
海外TECH	DEV Community	Dynamic Programming Algorithms Every Programmer Should Know	https://dev.to/rahul3002/dynamic-programming-algorithms-every-programmer-should-know-3pfh	Dynamic Programming Algorithms Every Programmer Should Know IntroductionDynamic programming is a technique that allows us to break down complex problems into smaller more manageable subproblems It involves solving subproblems only once and storing the results in memory for future use instead of solving them repeatedly This technique is widely used in computer science and can be applied to a wide range of problems including optimization scheduling string and graph problems In this article we ll explore some of the essential dynamic programming algorithms that every programmer should know with examples and code snippets What is Dynamic Programming Dynamic programming is an algorithmic technique that involves solving a problem by breaking it down into smaller more manageable subproblems It s similar to divide and conquer but with a crucial difference dynamic programming solves subproblems only once and stores their solutions in memory for future use instead of solving them repeatedly Overlapping SubproblemsOne of the key characteristics of dynamic programming is overlapping subproblems This means that the same subproblem can occur multiple times in the course of solving a larger problem For example in the Fibonacci sequence calculating the nth Fibonacci number involves calculating the n th and n th Fibonacci numbers which themselves require calculating the n th and n th Fibonacci numbers and so on Optimal SubstructureAnother key characteristic of dynamic programming is optimal substructure This means that the optimal solution to a larger problem can be constructed from the optimal solutions to its subproblems For example in the knapsack problem the optimal solution for a knapsack of size S and a set of items with weights and values can be constructed from the optimal solutions for knapsacks of size S and the same set of items MemoizationMemoization is a technique used to implement dynamic programming by storing the results of expensive function calls and returning the cached result when the same inputs occur again In other words memoization is caching the results of expensive function calls so that we can avoid repeated computations Here s an example of memoization in action using the Fibonacci sequence pythonCopy codefib cache def fib n if n in fib cache return fib cache n if n lt return n fib cache n fib n fib n return fib cache n TabulationTabulation is another technique used to implement dynamic programming which involves filling up a table with the results of subproblems in a bottom up manner In other words instead of recursively solving subproblems and storing the results in memory we solve them iteratively and store the results in a table Here s an example of tabulation in action using the Fibonacci sequence Copy codedef fib n if n lt Initialize the table fib table Fill up the table in a bottom up manner for i in range n fib table append fib table i fib table i Return the nth Fibonacci number return fib table n Fibonacci SequenceThe Fibonacci sequence is a classic example of a problem that can be solved using dynamic programming The Fibonacci sequence is a series of numbers in which each number is the sum of the two preceding numbers starting from and The sequence goes like this and so on Here s an example of solving the Fibonacci sequence using dynamic programming with tabulation pythonCopy codedef fib n if n lt return n Initialize the table fib table Fill up the table in a bottom up manner for i in range n fib table append fib table i fib table i Return the nth Fibonacci number return fib table n Knapsack ProblemThe knapsack problem is another classic example of a problem that can be solved using dynamic programming The knapsack problem is a problem in combinatorial optimization where given a set of items each with a weight and a value we must determine the items to include in a collection so that the total weight is less than or equal to a given limit and the total value is maximized Here s an example of solving the knapsack problem using dynamic programming with tabulation pythonCopy codedef knapsack W wt val n Initialize the table K for x in range W for x in range n Build the table in a bottom up manner for i in range n for w in range W if i or w K i w elif wt i lt w K i w max val i K i w wt i K i w else K i w K i w Return the maximum value return K n W Longest Common SubsequenceThe longest common subsequence problem is a problem in computer science where given two sequences we must find the longest subsequence present in both of them A subsequence is a sequence that can be derived from another sequence by deleting some or no elements without changing the order of the remaining elements Here s an example of solving the longest common subsequence problem using dynamic programming with tabulation pythonCopy codedef lcs X Y m len X n len Y Initialize the table L for x in range n for x in range m Build the table in a bottom up manner for i in range m for j in range n if i or j L i j elif X i Y j L L i j L i j else L i j max L i j L i j Return the length of the longest common subsequence return L m n ConclusionDynamic programming is a powerful technique that can be used to solve a wide range of problems in computer science and beyond By breaking down complex problems into smaller subproblems and solving them in a systematic manner we can arrive at an optimal solution that might not be achievable by other methods In this article we covered three classic examples of dynamic programming algorithms the Fibonacci sequence the knapsack problem and the longest common subsequence problem We showed how each of these problems can be solved using dynamic programming with tabulation Whether you re a beginner or an experienced programmer understanding dynamic programming can help you become a more efficient problem solver So the next time you re faced with a challenging problem try applying dynamic programming to see if you can find an optimal solution Writing has always been my passion and it gives me pleasure to help and inspire people If you have any questions feel free to reach out Connect me on Twitter LinkedIn and GitHub Visit my DEV for more articles like this	2023-05-02 03:13:02
海外ニュース	Japan Times latest articles	First Republic sale, a relief for some, fails to quell fear of a persistent crisis	https://www.japantimes.co.jp/news/2023/05/02/business/first-republic-bank-relief-worry/	First Republic sale a relief for some fails to quell fear of a persistent crisisHours after JPMorgan Chase Co agreed to buy First Republic the news was digested over breakfast by attendees at the Milken Institute Global Conference	2023-05-02 12:23:06
海外ニュース	Japan Times latest articles	Kishida calls two-day summit with Yoon a chance to kick-start ‘shuttle diplomacy’	https://www.japantimes.co.jp/news/2023/05/02/national/politics-diplomacy/kishida-yoon-south-korea-japan-summit/	Kishida calls two day summit with Yoon a chance to kick start shuttle diplomacy The practice of having the two neighbors leaders visit their respective countries has been effectively halted since December amid soured ties	2023-05-02 12:16:48
海外ニュース	Japan Times latest articles	The inside story of Buffett’s big Japan bet, over glasses of Coke at Four Seasons	https://www.japantimes.co.jp/news/2023/05/02/business/corporate-business/warren-buffett-big-japan-bet/	The inside story of Buffett s big Japan bet over glasses of Coke at Four SeasonsThe billionaire investor s visit is seen as an important vote of confidence in Japan s big five traders as they pivot away from fossil fuels	2023-05-02 12:10:34
ニュース	BBC News - Home	King Charles won't be changed by his new role, says Princess Anne	https://www.bbc.co.uk/news/uk-65452988?at_medium=RSS&at_campaign=KARANGA	brother	2023-05-02 03:47:14
ニュース	Newsweek	世界で人気高まる韓国ドラマ　過熱する制作現場で市民とのトラブルも	https://www.newsweekjapan.jp/stories/culture/2023/05/post-101546.php	これについて先の告発文を投稿した人は「カ月間、自宅にいたが口頭での説明というのは聞いていない。	2023-05-02 12:24:16
IT	週刊アスキー	たけのこの「名残り」とスナップいんげんの「走り」を感じる「磯子区丼」	https://weekly.ascii.jp/elem/000/004/135/4135372/	旬の食材	2023-05-02 12:30:00
IT	週刊アスキー	EP6の40周年記念「スター・ウォーズxフォッシル」コレクションを5月4日より世界同時発売	https://weekly.ascii.jp/elem/000/004/135/4135362/	記念	2023-05-02 12:10:00