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@@ -509,29 +509,28 @@ Menulis kode pada papan tulis atau kertas, bukan komputer. Uji dengan beberapa s
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- [ ] [Machine Code Instructions (video)](https://www.youtube.com/watch?v=Mv2XQgpbTNE)
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## Kompleksitas Algoritma / Big-O / Analisis Asimptotik
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-- tidak ada untuk dilaksanakan
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-- [ ] [Harvard CS50 - Asymptotic Notation (video)](https://www.youtube.com/watch?v=iOq5kSKqeR4)
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-- [ ] [Big O Notations (general quick tutorial) (video)](https://www.youtube.com/watch?v=V6mKVRU1evU)
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-- [ ] [Big O Notation (and Omega and Theta) - best mathematical explanation (video)](https://www.youtube.com/watch?v=ei-A_wy5Yxw&index=2&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN)
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+
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+- Tidak ada yang bisa diterapkan
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+- Ada banyak video di sini. Cukup tonton sampai Anda memahaminya. Anda selalu dapat kembali dan mengulas
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+- Jika beberapa kuliah terlalu matematis, Anda dapat melompat ke bawah dan menonton video matematika diskrit untuk mendapatkan pengetahuan latar belakang
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+- [ ] [Harvard CS50 - Notasi Asimtotik (video)](https://www.youtube.com/watch?v=iOq5kSKqeR4)
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+- [ ] [Notasi Big O (tutorial singkat umum) (video)](https://www.youtube.com/watch?v=V6mKVRU1evU)
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+- [ ] [Notasi Big O (dan Omega dan Theta) - penjelasan matematika terbaik (video)](https://www.youtube.com/watch?v=ei-A_wy5Yxw&index=2&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN)
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- [ ] Skiena:
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- [video](https://www.youtube.com/watch?v=gSyDMtdPNpU&index=2&list=PLOtl7M3yp-DV69F32zdK7YJcNXpTunF2b)
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- - [slides](http://www3.cs.stonybrook.edu/~algorith/video-lectures/2007/lecture2.pdf)
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-- [ ] [A Gentle Introduction to Algorithm Complexity Analysis](http://discrete.gr/complexity/)
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-- [ ] [Orders of Growth (video)](https://class.coursera.org/algorithmicthink1-004/lecture/59)
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-- [ ] [Asymptotics (video)](https://class.coursera.org/algorithmicthink1-004/lecture/61)
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-- [ ] [UC Berkeley Big O (video)](https://youtu.be/VIS4YDpuP98)
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-- [ ] [UC Berkeley Big Omega (video)](https://youtu.be/ca3e7UVmeUc)
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-- [ ] [Amortized Analysis (video)](https://www.youtube.com/watch?v=B3SpQZaAZP4&index=10&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN)
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-- [ ] [Illustrating "Big O" (video)](https://class.coursera.org/algorithmicthink1-004/lecture/63)
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+ - [slide](https://archive.org/details/lecture2_202008)
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+- [ ] [Pengantar Lembut untuk Analisis Kompleksitas Algoritma](http://discrete.gr/complexity/)
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+- [ ] [Orders of Growth (video)](https://www.coursera.org/lecture/algorithmic-thinking-1/orders-of-growth-6PKkX)
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+- [ ] [Asimtotik (video)](https://www.coursera.org/lecture/algorithmic-thinking-1/asymptotics-bXAtM)
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+- [ ] [UC Berkeley Big O (video)](https://archive.org/details/ucberkeley_webcast_VIS4YDpuP98)
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+- [ ] [UC Berkeley Big Omega (video)](https://archive.org/details/ucberkeley_webcast_ca3e7UVmeUc)
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+- [ ] [Analisis Amortisasi (video)](https://www.youtube.com/watch?v=B3SpQZaAZP4&index=10&list=PL1BaGV1cIH4UhkL8a9bJGG356covJ76qN)
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+- [ ] [Mengilustrasikan "Big O" (video)](https://www.coursera.org/lecture/algorithmic-thinking-1/illustrating-big-o-YVqzv)
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- [ ] TopCoder (includes recurrence relations and master theorem):
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- - [Computational Complexity: Section 1](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-1/)
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- - [Computational Complexity: Section 2](https://www.topcoder.com/community/data-science/data-science-tutorials/computational-complexity-section-2/)
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+ - [Computational Complexity: Section 1](https://www.topcoder.com/community/competitive-programming/tutorials/computational-complexity-section-1/)
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+ - [Computational Complexity: Section 2](https://www.topcoder.com/community/competitive-programming/tutorials/computational-complexity-section-2/)
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- [ ] [Cheat sheet](http://bigocheatsheet.com/)
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-
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- Jika beberapa ceramah terlalu membingunkan, anda dapat melompatinya kebawah dan
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- tonton the discrete mathematics videos untuk mendapatkan latar belakang pengetahuan.
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-
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## Struktur Data
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- ### Arrays
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hexatester