{"id":478239,"date":"2023-08-09T09:29:36","date_gmt":"2023-08-09T09:29:36","guid":{"rendered":""},"modified":"2023-09-05T11:16:20","modified_gmt":"2023-09-05T11:16:20","slug":"numerical-method","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/tr\/wiki\/numerical-method\/","title":{"rendered":"Say\u0131sal y\u00f6ntem"},"content":{"rendered":"

Say\u0131sal y\u00f6ntemler, tam olarak \u00e7\u00f6z\u00fclemeyen karma\u015f\u0131k problemlere yakla\u015f\u0131k \u00e7\u00f6z\u00fcmler bulmak i\u00e7in kullan\u0131lan bir dizi matematiksel tekni\u011fi ifade eder. Bu y\u00f6ntemler, \u00e7e\u015fitli matematiksel, bilimsel ve m\u00fchendislik problemlerine yakla\u015f\u0131k \u00e7\u00f6z\u00fcmler elde etmek i\u00e7in say\u0131sal hesaplamalar\u0131n ve algoritmalar\u0131n kullan\u0131m\u0131n\u0131 i\u00e7erir. Analitik \u00e7\u00f6z\u00fcmlerin \u00e7ok karma\u015f\u0131k oldu\u011fu veya uygulanabilir olmad\u0131\u011f\u0131 alanlarda say\u0131sal y\u00f6ntemlerin uygulanmas\u0131 \u00e7ok \u00f6nemlidir ve bu da onlar\u0131 modern hesaplamal\u0131 bilim ve m\u00fchendislikte vazge\u00e7ilmez ara\u00e7lar haline getirir.<\/p>\n

Say\u0131sal Y\u00f6ntemin K\u00f6keni ve \u0130lk S\u00f6z\u00fc<\/h2>\n

Say\u0131sal y\u00f6ntemlerin k\u00f6kleri, pratik problemleri \u00e7\u00f6zmek i\u00e7in \u00e7e\u015fitli yakla\u015f\u0131m tekniklerinin kullan\u0131ld\u0131\u011f\u0131 eski uygarl\u0131klara kadar uzanabilir. Ancak say\u0131sal y\u00f6ntemlerin bi\u00e7imsel geli\u015fimi, modern bilgisayarlar\u0131n ortaya \u00e7\u0131k\u0131\u015f\u0131na ve 20. y\u00fczy\u0131l\u0131n ortalar\u0131nda dijital bilgisayarlar\u0131n ortaya \u00e7\u0131k\u0131\u015f\u0131na ba\u011flanabilir. John von Neumann ve Alan Turing gibi ilk \u00f6nc\u00fcler say\u0131sal hesaplaman\u0131n teorik temelinin geli\u015ftirilmesinde \u00f6nemli roller oynad\u0131lar.<\/p>\n

Say\u0131sal y\u00f6ntemlere ili\u015fkin ilk a\u00e7\u0131k s\u00f6z, matematiksel sabitlerin, gezegen konumlar\u0131n\u0131n ve di\u011fer g\u00f6k olaylar\u0131n\u0131n de\u011ferlerini hesaplamak i\u00e7in say\u0131sal yakla\u015f\u0131mlar kullanan Babilliler ve Yunanl\u0131lar gibi matematik\u00e7ilerin ve g\u00f6kbilimcilerin ilk \u00e7al\u0131\u015fmalar\u0131nda bulunabilir.<\/p>\n

Say\u0131sal Y\u00f6ntem Hakk\u0131nda Detayl\u0131 Bilgi: Konuyu Geni\u015fletmek<\/h2>\n

Say\u0131sal y\u00f6ntemler, enterpolasyon, say\u0131sal entegrasyon, say\u0131sal farkl\u0131la\u015fma, do\u011frusal ve do\u011frusal olmayan denklemlerin \u00e7\u00f6z\u00fcm\u00fc, optimizasyon, \u00f6zde\u011fer problemleri ve daha fazlas\u0131n\u0131 i\u00e7eren \u00e7ok \u00e7e\u015fitli algoritma ve teknikleri kapsar. Bu y\u00f6ntemler makul hesaplama kaynaklar\u0131 ve zaman k\u0131s\u0131tlamalar\u0131 dahilinde kabul edilebilir do\u011frulukta \u00e7\u00f6z\u00fcmler elde etmeyi ama\u00e7lamaktad\u0131r.<\/p>\n

Say\u0131sal y\u00f6ntemlerin temel avantaj\u0131, karma\u015f\u0131k do\u011falar\u0131 nedeniyle genellikle analitik \u00e7\u00f6z\u00fcmlere sahip olmayan karma\u015f\u0131k ger\u00e7ek d\u00fcnya problemlerini ele alma yetenekleridir. K\u0131smi diferansiyel denklemler, karma\u015f\u0131k matematiksel modeller ve b\u00fcy\u00fck \u00f6l\u00e7ekli sim\u00fclasyonlarla u\u011fra\u015f\u0131rken \u00f6zellikle faydal\u0131d\u0131rlar.<\/p>\n

Say\u0131sal Y\u00f6ntemin \u0130\u00e7 Yap\u0131s\u0131: Nas\u0131l \u00c7al\u0131\u015f\u0131r?<\/h2>\n

Say\u0131sal y\u00f6ntemler, bir problemi ayr\u0131k ad\u0131mlara b\u00f6lmeye, s\u00fcrekli fonksiyonlara ayr\u0131k verilerle yakla\u015fmaya ve yakla\u015f\u0131mlar\u0131 iyile\u015ftirmek i\u00e7in yinelemeli s\u00fcre\u00e7ler kullanmaya dayan\u0131r. Say\u0131sal bir y\u00f6ntemde yer alan genel ad\u0131mlar \u015funlar\u0131 i\u00e7erir:<\/p>\n

    \n
  1. \n

    Problem Form\u00fclasyonu<\/strong>: Ger\u00e7ek d\u00fcnya problemini genellikle diferansiyel denklemler, integral denklemler veya optimizasyon problemleri bi\u00e7iminde matematiksel bir model olarak ifade etmek.<\/p>\n<\/li>\n

  2. \n

    Ayr\u0131\u015ft\u0131rma<\/strong>: S\u00fcrekli matematiksel modellerin sonlu farklar, sonlu elemanlar veya sonlu hacim gibi y\u00f6ntemler kullan\u0131larak ayr\u0131k forma d\u00f6n\u00fc\u015ft\u00fcr\u00fclmesi.<\/p>\n<\/li>\n

  3. \n

    Yakla\u015f\u0131m<\/strong>: Karma\u015f\u0131k fonksiyonlar\u0131n, polinom yakla\u015f\u0131mlar\u0131 veya par\u00e7al\u0131 do\u011frusal fonksiyonlar gibi say\u0131sal olarak i\u015flenmesi daha kolay olan daha basit fonksiyonlarla de\u011fi\u015ftirilmesi.<\/p>\n<\/li>\n

  4. \n

    Yinelemeli Teknikler<\/strong>: Yakla\u015f\u0131mlar\u0131 yinelemeli olarak iyile\u015ftirmek ve \u00e7\u00f6z\u00fcm\u00fcn do\u011frulu\u011funu art\u0131rmak i\u00e7in say\u0131sal algoritmalar\u0131n tekrar tekrar uygulanmas\u0131.<\/p>\n<\/li>\n

  5. \n

    Yak\u0131nsama ve Hata Analizi<\/strong>: Say\u0131sal \u00e7\u00f6z\u00fcm\u00fcn yak\u0131nsamas\u0131n\u0131n de\u011ferlendirilmesi ve yakla\u015f\u0131m ve ayr\u0131kla\u015ft\u0131rma i\u015flemlerinin getirdi\u011fi hatalar\u0131n tahmin edilmesi.<\/p>\n<\/li>\n<\/ol>\n

    Say\u0131sal Y\u00f6ntemin Temel \u00d6zelliklerinin Analizi<\/h2>\n

    Say\u0131sal y\u00f6ntemler, onlar\u0131 hesaplamal\u0131 bilim ve m\u00fchendislikte vazge\u00e7ilmez k\u0131lan \u00e7e\u015fitli temel \u00f6zellikler sunar:<\/p>\n

      \n
    1. \n

      \u00c7ok y\u00f6nl\u00fcl\u00fck<\/strong>: Say\u0131sal y\u00f6ntemler, basit cebirsel denklemlerden karma\u015f\u0131k \u00e7ok boyutlu k\u0131smi diferansiyel denklemlere kadar \u00e7ok \u00e7e\u015fitli problemleri \u00e7\u00f6zebilir.<\/p>\n<\/li>\n

    2. \n

      Yeterlik<\/strong>: Say\u0131sal y\u00f6ntemler kesin \u00e7\u00f6z\u00fcmler sa\u011flayamasa da makul derecede do\u011fru \u00e7\u00f6z\u00fcmleri zaman\u0131nda bulabilen etkili algoritmalar sunar.<\/p>\n<\/li>\n

    3. \n

      Esneklik<\/strong>: Bu y\u00f6ntemler farkl\u0131 sorun alanlar\u0131n\u0131 ele alacak \u015fekilde uyarlanabilir ve \u00f6zel gereksinimlere g\u00f6re \u00f6zelle\u015ftirilebilir.<\/p>\n<\/li>\n

    4. \n

      Hata Kontrol\u00fc<\/strong>: Say\u0131sal y\u00f6ntemler hata analizine ve kontrol\u00fcne izin vererek kullan\u0131c\u0131lar\u0131n do\u011fruluk ve hesaplama kaynaklar\u0131n\u0131 dengelemesine olanak tan\u0131r.<\/p>\n<\/li>\n

    5. \n

      Say\u0131sal Kararl\u0131l\u0131k<\/strong>: \u0130yi tasarlanm\u0131\u015f say\u0131sal y\u00f6ntemler kararl\u0131d\u0131r ve d\u00fczensiz veya farkl\u0131 sonu\u00e7lar \u00fcretmez.<\/p>\n<\/li>\n<\/ol>\n

      Say\u0131sal Y\u00f6ntem T\u00fcrleri<\/h2>\n

      Say\u0131sal y\u00f6ntemler, her biri belirli problem t\u00fcrlerine uygun \u00e7e\u015fitli teknikleri kapsar. Yayg\u0131n olarak kullan\u0131lan say\u0131sal y\u00f6ntemlerden baz\u0131lar\u0131 \u015funlard\u0131r:<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n
      Y\u00f6ntem<\/th>\nBa\u015fvuru<\/th>\n<\/tr>\n<\/thead>\n
      Newton-Raphson<\/td>\nK\u00f6k bulma<\/td>\n<\/tr>\n
      \u0130kiye b\u00f6lme<\/td>\nS\u0131n\u0131rl\u0131 aral\u0131klarla k\u00f6k bulma<\/td>\n<\/tr>\n
      Euler Y\u00f6ntemi<\/td>\nAdi diferansiyel denklemler<\/td>\n<\/tr>\n
      Runge-Kutta Y\u00f6ntemleri<\/td>\nDaha y\u00fcksek dereceli ODE'ler<\/td>\n<\/tr>\n
      Sonlu Farklar Y\u00f6ntemi<\/td>\nK\u0131smi diferansiyel denklemler<\/td>\n<\/tr>\n
      Sonlu Elemanlar Y\u00f6ntemi<\/td>\nYap\u0131sal analiz, \u0131s\u0131 transferi vb.<\/td>\n<\/tr>\n
      Monte Carlo sim\u00fclasyonu<\/td>\nOlas\u0131l\u0131k analizi<\/td>\n<\/tr>\n
      Gauss elimine etme<\/td>\nDo\u011frusal denklem sistemi<\/td>\n<\/tr>\n
      Benzetimli tavlama<\/td>\nOptimizasyon sorunlar\u0131<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      Say\u0131sal Y\u00f6ntemi Kullanma Yollar\u0131, Sorunlar ve \u00c7\u00f6z\u00fcmleri<\/h2>\n

      Say\u0131sal y\u00f6ntemler a\u015fa\u011f\u0131dakiler de dahil olmak \u00fczere \u00e7e\u015fitli alanlarda kapsaml\u0131 uygulamalara sahiptir:<\/p>\n

        \n
      1. \n

        M\u00fchendislik<\/strong>: Yap\u0131sal analiz, ak\u0131\u015fkanlar dinami\u011fi, \u0131s\u0131 transferi, elektromanyetik sim\u00fclasyonlar ve devre analizi.<\/p>\n<\/li>\n

      2. \n

        Fizik<\/strong>: Par\u00e7ac\u0131k sim\u00fclasyonlar\u0131, kuantum mekani\u011fi, astrofizik ve g\u00f6k mekani\u011fi.<\/p>\n<\/li>\n

      3. \n

        Finans<\/strong>: Opsiyon fiyatland\u0131rmas\u0131, risk analizi ve finansal modelleme.<\/p>\n<\/li>\n

      4. \n

        Bilgisayar grafikleri<\/strong>: \u0130\u015fleme, \u0131\u015f\u0131n izleme ve animasyon.<\/p>\n<\/li>\n<\/ol>\n

        Ancak say\u0131sal y\u00f6ntemlerin kullan\u0131m\u0131n\u0131n baz\u0131 zorluklar\u0131 vard\u0131r:<\/p>\n

          \n
        1. \n

          Do\u011fruluk ve Verimlilik<\/strong>: Say\u0131sal sim\u00fclasyonlarda do\u011fruluk ve hesaplama kaynaklar\u0131 aras\u0131nda bir denge kurmak \u00e7ok \u00f6nemlidir.<\/p>\n<\/li>\n

        2. \n

          Say\u0131sal Kararl\u0131l\u0131k<\/strong>: Karars\u0131z algoritmalar hatal\u0131 sonu\u00e7lara veya sapmalara yol a\u00e7abilir.<\/p>\n<\/li>\n

        3. \n

          Yak\u0131nsama Sorunlar\u0131<\/strong>: Baz\u0131 y\u00f6ntemler, belirli sorun konfig\u00fcrasyonlar\u0131 i\u00e7in yava\u015f yava\u015f yak\u0131nsama veya yak\u0131nsama konusunda zorluk ya\u015fayabilir.<\/p>\n<\/li>\n

        4. \n

          S\u0131n\u0131r \u015fartlar\u0131<\/strong>: S\u0131n\u0131r ko\u015fullar\u0131n\u0131n do\u011fru \u015fekilde ele al\u0131nmas\u0131, do\u011fru \u00e7\u00f6z\u00fcmler i\u00e7in \u00e7ok \u00f6nemlidir.<\/p>\n<\/li>\n<\/ol>\n

          Ana \u00d6zellikler ve Benzer Terimlerle Kar\u015f\u0131la\u015ft\u0131rmalar<\/h2>\n\n\n\n\n\n\n\n\n
          Terim<\/th>\nTan\u0131m<\/th>\n<\/tr>\n<\/thead>\n
          Analitik Y\u00f6ntemler<\/td>\n\u0130yi tan\u0131mlanm\u0131\u015f problemlere kesin matematiksel \u00e7\u00f6z\u00fcmler.<\/td>\n<\/tr>\n
          Say\u0131sal y\u00f6ntemler<\/td>\nYinelemeli say\u0131sal algoritmalar kullan\u0131larak yakla\u015f\u0131k \u00e7\u00f6z\u00fcmler.<\/td>\n<\/tr>\n
          Hesaplamal\u0131 Y\u00f6ntemler<\/td>\nT\u00fcm hesaplama tekniklerini kapsayan geni\u015f terim.<\/td>\n<\/tr>\n
          Sim\u00fclasyon Teknikleri<\/td>\nGer\u00e7ek sistemlerin davran\u0131\u015f\u0131n\u0131 taklit etmek i\u00e7in kullan\u0131lan y\u00f6ntemler.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

          Say\u0131sal Y\u00f6nteme \u0130li\u015fkin Gelece\u011fin Perspektifleri ve Teknolojileri<\/h2>\n

          Say\u0131sal y\u00f6ntemlerin gelece\u011fi, hesaplama g\u00fcc\u00fc, algoritmalar ve say\u0131sal analiz tekniklerindeki ilerlemelerle i\u00e7 i\u00e7edir. Baz\u0131 potansiyel b\u00fcy\u00fcme alanlar\u0131 \u015funlard\u0131r:<\/p>\n

            \n
          1. \n

            Y\u00fcksek Performansl\u0131 Bilgi \u0130\u015flem<\/strong>: Daha b\u00fcy\u00fck ve daha karma\u015f\u0131k sorunlar\u0131 \u00e7\u00f6zmek i\u00e7in s\u00fcper bilgisayarlardan ve paralel i\u015flemlerden yararlanmak.<\/p>\n<\/li>\n

          2. \n

            Makine \u00d6\u011frenimi Entegrasyonu<\/strong>: Geli\u015fmi\u015f do\u011fruluk ve tahmin yetenekleri i\u00e7in say\u0131sal y\u00f6ntemleri makine \u00f6\u011frenimiyle birle\u015ftirmek.<\/p>\n<\/li>\n

          3. \n

            Kuantum hesaplama<\/strong>: Belirli problem s\u0131n\u0131flar\u0131 i\u00e7in say\u0131sal sim\u00fclasyonlar\u0131n h\u0131zland\u0131r\u0131lmas\u0131nda kuantum hesaplaman\u0131n potansiyelinin ara\u015ft\u0131r\u0131lmas\u0131.<\/p>\n<\/li>\n

          4. \n

            Azalt\u0131lm\u0131\u015f Dereceli Modelleme<\/strong>: Azalt\u0131lm\u0131\u015f hesaplama kaynaklar\u0131yla karma\u015f\u0131k sim\u00fclasyonlara yakla\u015fmak i\u00e7in etkili teknikler geli\u015ftirmek.<\/p>\n<\/li>\n<\/ol>\n

            Proxy Sunucular Nas\u0131l Kullan\u0131labilir veya Say\u0131sal Y\u00f6ntemle \u0130li\u015fkilendirilebilir<\/h2>\n

            Proxy sunucular, \u00f6zellikle hesaplama kaynaklar\u0131n\u0131n s\u0131n\u0131rl\u0131 oldu\u011fu veya \u00f6zel uygulamalar\u0131n da\u011f\u0131t\u0131lm\u0131\u015f bilgi i\u015flem gerektirdi\u011fi senaryolarda, say\u0131sal y\u00f6ntemler ba\u011flam\u0131nda \u00f6nemli bir rol oynar. Proxy sunucular\u0131n\u0131n kullan\u0131labilece\u011fi veya say\u0131sal y\u00f6ntemlerle ili\u015fkilendirilebilece\u011fi baz\u0131 yollar \u015funlard\u0131r:<\/p>\n

              \n
            1. \n

              Da\u011f\u0131t\u0131lm\u0131\u015f Bilgi \u0130\u015flem<\/strong>: Proxy sunucular\u0131, say\u0131sal algoritmalar\u0131n birden fazla d\u00fc\u011f\u00fcmde paralel y\u00fcr\u00fct\u00fclmesini kolayla\u015ft\u0131rarak hesaplama verimlili\u011fini art\u0131rabilir.<\/p>\n<\/li>\n

            2. \n

              Kaynak y\u00f6netimi<\/strong>: Proxy sunucular\u0131, say\u0131sal g\u00f6revlerin da\u011f\u0131t\u0131m\u0131n\u0131 optimize ederek hesaplama kaynaklar\u0131n\u0131 dinamik olarak tahsis edebilir.<\/p>\n<\/li>\n

            3. \n

              Anonimlik ve G\u00fcvenlik<\/strong>: Proxy sunucular, hassas say\u0131sal sim\u00fclasyonlar i\u00e7in g\u00fcvenli\u011fi ve anonimli\u011fi art\u0131rabilir.<\/p>\n<\/li>\n

            4. \n

              Y\u00fck dengeleme<\/strong>: Proxy sunucular\u0131, hesaplama y\u00fck\u00fcn\u00fc birden fazla sunucuya da\u011f\u0131tarak belirli d\u00fc\u011f\u00fcmlerin a\u015f\u0131r\u0131 y\u00fcklenmesini \u00f6nleyebilir.<\/p>\n<\/li>\n<\/ol>\n

              \u0130lgili Ba\u011flant\u0131lar<\/h2>\n

              Say\u0131sal y\u00f6ntemler hakk\u0131nda daha fazla bilgi i\u00e7in a\u015fa\u011f\u0131daki kaynaklar\u0131 inceleyebilirsiniz:<\/p>\n

                \n
              1. Say\u0131sal Tarifler<\/a><\/li>\n
              2. Wolfram Matematik D\u00fcnyas\u0131<\/a><\/li>\n
              3. MIT OpenCourseWare \u2013 PDE'ler i\u00e7in Say\u0131sal Y\u00f6ntemler<\/a><\/li>\n<\/ol>\n

                Sonu\u00e7 olarak say\u0131sal y\u00f6ntemler, hesaplamal\u0131 bilim ve m\u00fchendislikte devrim yaratarak, aksi takdirde \u00e7\u00f6z\u00fcm\u00fc zor olacak karma\u015f\u0131k sorunlar\u0131n \u00fcstesinden gelmemizi sa\u011flad\u0131. Diferansiyel denklemlerin \u00e7\u00f6z\u00fclmesinden karma\u015f\u0131k sistemlerin optimize edilmesine kadar say\u0131sal y\u00f6ntemler, bilgi i\u015flem teknolojilerindeki geli\u015fmeler sayesinde gelece\u011fe y\u00f6nelik heyecan verici beklentilerle birlikte \u00e7e\u015fitli alanlarda yenilik\u00e7ili\u011fi te\u015fvik etmeye devam ediyor.<\/p>","protected":false},"featured_media":469035,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-478239","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about Numerical Method: A Comprehensive Guide<\/mark>","faq_items":[{"question":"What are numerical methods, and how do they work?","answer":"

                Numerical methods are mathematical techniques used to approximate solutions for complex problems that lack exact analytical solutions. They involve converting continuous mathematical models into discrete form, applying iterative algorithms to refine approximations, and evaluating convergence and errors to ensure accuracy.<\/p>"},{"question":"How did numerical methods originate, and when were they first mentioned?","answer":"

                Numerical methods have ancient roots, with early civilizations like the Babylonians and Greeks using numerical approximations for celestial calculations. The formal development of numerical methods took shape with the emergence of digital computers in the mid-20th century, thanks to pioneers like John von Neumann and Alan Turing.<\/p>"},{"question":"What are the key features and advantages of numerical methods?","answer":"

                Numerical methods offer versatility, efficiency, and flexibility in handling a wide range of complex real-world problems. They allow error control and numerical stability, ensuring accurate and stable results for various applications in science, engineering, finance, and more.<\/p>"},{"question":"What types of numerical methods exist, and where are they applied?","answer":"

                Numerical methods encompass diverse techniques, including Newton-Raphson for root finding, finite element methods for structural analysis, and Monte Carlo simulation for probabilistic analysis. These methods find applications in engineering, physics, finance, computer graphics, and more.<\/p>"},{"question":"What challenges and problems are associated with numerical methods?","answer":"

                While powerful, numerical methods come with challenges, such as striking a balance between accuracy and computational efficiency, ensuring numerical stability, handling convergence issues, and addressing boundary conditions effectively.<\/p>"},{"question":"What does the future hold for numerical methods?","answer":"

                The future of numerical methods is promising, driven by advances in high-performance computing, machine learning integration, quantum computing, and reduced-order modeling. These developments will enable tackling even more complex problems efficiently.<\/p>"},{"question":"How are proxy servers associated with numerical methods?","answer":"

                Proxy servers play a crucial role in numerical methods, facilitating distributed computing, resource management, enhanced security, anonymity, and load balancing for efficient execution of numerical algorithms.<\/p>"},{"question":"Where can I find more information about numerical methods?","answer":"

                For more in-depth insights into numerical methods, you can explore resources such as Numerical Recipes, Wolfram MathWorld, and MIT OpenCourseWare's Numerical Methods for PDEs course.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/478239","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/wiki\/478239\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media\/469035"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/tr\/wp-json\/wp\/v2\/media?parent=478239"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}