์ด ์˜์—ญ์„ ๋ˆ„๋ฅด๋ฉด ์ฒซ ํŽ˜์ด์ง€๋กœ ์ด๋™
caputdraconis ๋ธ”๋กœ๊ทธ์˜ ์ฒซ ํŽ˜์ด์ง€๋กœ ์ด๋™

caputdraconis

ํŽ˜์ด์ง€ ๋งจ ์œ„๋กœ ์˜ฌ๋ผ๊ฐ€๊ธฐ

caputdraconis

๋„คํŠธ์›Œํฌ ๊ด€์ ์—์„œ์˜ ํด๋ผ์šฐ๋“œ ์ปดํ“จํŒ…์„ ๊ณต๋ถ€ํ•˜๋Š” ์ค‘์ž…๋‹ˆ๋‹ค :)

[๋ถ€์ŠคํŠธ์ฝ”์Šค CS50 2๊ธฐ] 1์ฃผ์ฐจ ์ปดํ“จํŒ… ์‚ฌ๊ณ 

  • 2021.01.11 14:05
  • ๊ฒ…๋ถ€๊ฒ…๋ถ€๐Ÿ™ƒ/Naver CS50 ์ฝ”์นญ์Šคํ„ฐ๋””
๊ธ€ ์ž‘์„ฑ์ž: caputdraconis
๋ฐ˜์‘ํ˜•

์ปดํ“จํŒ… ์‚ฌ๊ณ ๋ž€?
๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•œ ์ ‘๊ทผ ๋ฐฉ๋ฒ• ์ค‘์˜ ํ•˜๋‚˜๋‹ค.

 

์ปดํ“จํŒ… ์‚ฌ๊ณ ๋Š” ํฌ๊ฒŒ 4๊ฐ€์ง€์˜ ๊ณผ์ •์œผ๋กœ ์ด๋ฃจ์–ด์ ธ์žˆ๋Š”๋ฐ ๋ถ„ํ•ด, ํŒจํ„ด ํŒŒ์•…, ํŒจํ„ด์˜ ์ผ๋ฐ˜ํ™”, ์•Œ๊ณ ๋ฆฌ์ฆ˜ ์„ค๊ณ„๋‹ค.

 

๋ถ„ํ•ด(Decomposition)

ํฐ ๋ฌธ์ œ๋ฅผ ์—ฌ๋Ÿฌ๊ฐœ์˜ ์กฐ๊ฐ์œผ๋กœ ๋‚˜๋ˆ„์–ด ๊ทธ ์กฐ๊ฐ๋“ค์„ ํ™•์ธํ•˜๊ฑฐ๋‚˜, ์–ด๋–ป๊ฒŒ ๋ฌธ์ œ๋ฅผ ๋‚˜๋ˆŒ์ง€ ๊ณ ๋ฏผํ•˜๋Š” ๊ณผ์ •์ด๋‹ค.

Breaking something down and figuring out what all the parts are and how we might divide up a task.

ํŒจํ„ด ํŒŒ์•…(Pattern Recognition)

์–ด๋– ํ•œ ์˜ˆ์ธก(ํ†ต์ฐฐ)์„ ์œ„ํ•ด ์•ž์—์„œ ๋ฌธ์ œ๋ฅผ ๋ถ„ํ•ดํ•ด์„œ ๋‚˜์˜จ ์กฐ๊ฐ๋“ค์˜ ์œ ์‚ฌํ•œ ์ ๊ณผ ์ฐจ์ด์ ์„ ์ฐพ์•„๋‚ด๋Š” ๊ณผ์ •์ด๋‹ค.

Finding similarities and differences between these parts in order to make predictions.

ํŒจํ„ด์˜ ์ผ๋ฐ˜ํ™”(Pattern Generalization), ์ถ”์ƒํ™”(Abstraction)

ํŒจํ„ด ํŒŒ์•… ๋‹จ๊ณ„์—์„œ ์ฐพ์•„๋‚ธ ํŒจํ„ด๋“ค์„ ๋งŒ๋“ค์–ด๋‚ธ ์›๋ฆฌ๋ฅผ ์ฐพ์•„๋‚ด๋Š” ๊ณผ์ •์ด๋‹ค.

Finding the general principles that generate these patterns.

์•Œ๊ณ ๋ฆฌ์ฆ˜ ์„ค๊ณ„(Algorithm Design)

์ด๋ฒˆ ๊ณผ์ •์—์„œ ์‚ฌ์šฉ๋œ ๋ฌธ์ œ์™€ ์œ ์‚ฌํ•œ ๋ฌธ์ œ๋“ค์„ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•œ ์ ˆ์ฐจ์ ์ธ ๋ช…๋ น(๊ณผ์ •)์„ ๋งŒ๋“ค์–ด๋‚ด๋Š” ๊ณผ์ •์ด๋‹ค.

Developing the step-by-step instructions that solve similar problems.

 

 

์ปดํ“จํŒ… ์‚ฌ๊ณ ๋Š” ์ปดํ“จํ„ฐ ๊ณผํ•™์ž๊ฐ€ ์•„๋‹ˆ๋”๋ผ๋„ ์ง์—…์— ๊ด€๊ณ„์—†์ด ์ด์šฉํ•  ์ˆ˜ ์žˆ๊ณ , ์š”์ฆ˜ ์‹œ๋Œ€์— ์ด์šฉํ•ด์•ผ๋งŒ ํ•˜๋Š” ์‚ฌ๊ณ  ๋ฐฉ๋ฒ•์ด๋‹ค.

๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด, ๋ฌธ์ œ๋ฅผ ๋‹ค์–‘ํ•œ ํฌ๊ธฐ์˜ ์กฐ๊ฐ๋“ค๋กœ ์ชผ๊ฐœ๊ณ  ๊ฐ๊ฐ์˜ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐฉ๋ฒ•์„ ์ฐพ์€ ๋’ค, ์ตœ์ข…์ ์œผ๋กœ ๊ฐ๊ฐ์˜ ํ•ด๋ฒ•์„ ํ•œ ๋ฐ ๋ชจ์•„ ๋ฌธ์ œ๋ฅผ ํ•ด๊ฒฐํ•œ๋‹ค. 

 

๋น ๋ฅด๊ฒŒ ๋‹ค ๋ณด์ž,,,

 

 

๊ฐœ์ธ๋ฏธ์…˜๊ณผ ํŒ€๋ฏธ์…˜ ํ•ด์„œ ๋‚ด์Ÿˆ,,,,

๋ฐ˜์‘ํ˜•

๋Œ“๊ธ€

์ด ๊ธ€ ๊ณต์œ ํ•˜๊ธฐ

  • ๊ตฌ๋…ํ•˜๊ธฐ

    ๊ตฌ๋…ํ•˜๊ธฐ

  • ์นด์นด์˜คํ†ก

    ์นด์นด์˜คํ†ก

  • ๋ผ์ธ

    ๋ผ์ธ

  • ํŠธ์œ„ํ„ฐ

    ํŠธ์œ„ํ„ฐ

  • Facebook

    Facebook

  • ์นด์นด์˜ค์Šคํ† ๋ฆฌ

    ์นด์นด์˜ค์Šคํ† ๋ฆฌ

  • ๋ฐด๋“œ

    ๋ฐด๋“œ

  • ๋„ค์ด๋ฒ„ ๋ธ”๋กœ๊ทธ

    ๋„ค์ด๋ฒ„ ๋ธ”๋กœ๊ทธ

  • Pocket

    Pocket

  • Evernote

    Evernote

๋‹ค๋ฅธ ๊ธ€

  • ์‹œ์ž‘!

    ์‹œ์ž‘!

    2021.01.07
๋‹ค๋ฅธ ๊ธ€ ๋” ๋‘˜๋Ÿฌ๋ณด๊ธฐ

์ •๋ณด

caputdraconis ๋ธ”๋กœ๊ทธ์˜ ์ฒซ ํŽ˜์ด์ง€๋กœ ์ด๋™

caputdraconis

  • caputdraconis์˜ ์ฒซ ํŽ˜์ด์ง€๋กœ ์ด๋™

๊ฒ€์ƒ‰

๋ฉ”๋‰ด

    ์นดํ…Œ๊ณ ๋ฆฌ

    • ๋ถ„๋ฅ˜ ์ „์ฒด๋ณด๊ธฐ (168)
      • Cloud (3)
      • Computer Network (12)
      • Database (2)
      • Terraform (2)
      • ๐Ÿฅš๊ณ ๋ฆฌ์ฆ˜ (13)
      • ๊ฒ…๋ถ€๊ฒ…๋ถ€๐Ÿ™ƒ (10)
        • Naver CS50 ์ฝ”์นญ์Šคํ„ฐ๋”” (2)
        • Machine Learning (1)
        • Computing System (6)
      • ์–ธ์–ด&ํ”„๋ ˆ์ž„์›Œํฌ (20)
        • Python (4)
        • Django (10)
        • Node JS (1)
        • C++ (2)
        • Java (1)
        • Flutter (2)
      • Security (76)
        • WebHacking Study (11)
        • ์ง€์˜ฅ๋ฐฉ ์Šคํ„ฐ๋”” (22)
        • ์—ฌ๋ฆ„๋ฐฉํ•™ ์Šคํ„ฐ๋”” (2)
        • PWN Study (6)
        • SUA Reversing Study (3)
        • PWN (3)
        • WebHacking (20)
        • Reversing (4)
      • ์•Œ๊ณ  ์žˆ์œผ๋ฉด ๋„์›€๋˜์ง€ ์•Š์„๊นŒ,,? (23)
      • ์ผ์ƒ๋‹ค๋ฐ˜์‚ฌ (1)
      • ๊ทผํ™ฉ ์ •๋ฆฌ (1)
      • 42 Seoul (1)
        • Setting (1)

    ์ตœ๊ทผ ๊ธ€

    ์ธ๊ธฐ ๊ธ€

    ๋Œ“๊ธ€

    ๊ณต์ง€์‚ฌํ•ญ

    ์•„์นด์ด๋ธŒ

    ํƒœ๊ทธ

    • ์›นํ•ดํ‚น.kr
    • ๋“œ๋ฆผํ•ต
    • ํŒŒ์ด์ฌ
    • Python
    • old-16
    • ํŒŒ์ด์ฌ๊ธฐ์ดˆ
    • ๋ฆฌ์ŠคํŠธํ•จ์ˆ˜
    • ํŒŒ์ด์ฌํ•จ์ˆ˜

    ๋‚˜์˜ ์™ธ๋ถ€ ๋งํฌ

    • Github
    • solved.ac
    • caputdraconis@kakao.com

    ์ •๋ณด

    caputdraconis์˜ caputdraconis

    caputdraconis

    caputdraconis

    ๋ธ”๋กœ๊ทธ ๊ตฌ๋…ํ•˜๊ธฐ

    • ๊ตฌ๋…ํ•˜๊ธฐ
    • RSS ํ”ผ๋“œ

    ๋ฐฉ๋ฌธ์ž

    • ์ „์ฒด ๋ฐฉ๋ฌธ์ž
    • ์˜ค๋Š˜
    • ์–ด์ œ

    ํ‹ฐ์Šคํ† ๋ฆฌ

    • ํ‹ฐ์Šคํ† ๋ฆฌ ํ™ˆ
    • ์ด ๋ธ”๋กœ๊ทธ ๊ด€๋ฆฌํ•˜๊ธฐ
    • ๊ธ€์“ฐ๊ธฐ
    Powered by Tistory / Kakao. Copyright © caputdraconis.

    ํ‹ฐ์Šคํ† ๋ฆฌํˆด๋ฐ”