์ž๊ฒฉ์ฆ/์ •๋ณด์ฒ˜๋ฆฌ๊ธฐ์‚ฌ

[2 ๊ณผ๋ชฉ] ์•Œ๊ณ ๋ฆฌ์ฆ˜ ์„ค๊ณ„ ๊ธฐ๋ฒ•

_silver 2025. 4. 9. 17:30

๐Ÿ“Œ ๊ด€๋ จ ๊ธฐ์ถœ๋ฌธ์ œ:

  • 2024๋…„ 3ํšŒ : ์•Œ๊ณ ๋ฆฌ์ฆ˜ ์„ค๊ณ„ ๊ธฐ๋ฒ•์œผ๋กœ ๊ฑฐ๋ฆฌ๊ฐ€ ๋จผ ๊ฒƒ์€?
โ˜‘๏ธŽ ๋ถ„ํ•  ์ •๋ณต๋ฒ• (Divide & Conquer)
๋ฌธ์ œ๋ฅผ ๋” ์ž‘์€ ํ•˜์œ„ ๋ฌธ์ œ๋กœ ๋‚˜๋ˆ„๊ณ , ๊ฐ๊ฐ ํ•ด๊ฒฐํ•œ ํ›„ ํ•ฉ์ณ์„œ ์›๋ž˜ ๋ฌธ์ œ๋ฅผ ํ‘ธ๋Š” ๋ฐฉ์‹.
์˜ˆ: ๋ณ‘ํ•ฉ ์ •๋ ฌ, ํ€ต ์ •๋ ฌ, ์ด์ง„ ํƒ์ƒ‰
โ˜‘๏ธŽ ๋™์  ๊ณ„ํš๋ฒ• (Dynamic Programming)
๋ณต์žกํ•œ ๋ฌธ์ œ๋ฅผ ์ค‘๋ณต๋˜๋Š” ์ž‘์€ ๋ฌธ์ œ๋กœ ๋‚˜๋ˆ„๊ณ , ๊ฒฐ๊ณผ๋ฅผ ์ €์žฅํ•˜์—ฌ ์ค‘๋ณต ๊ณ„์‚ฐ์„ ํ”ผํ•˜๋Š” ๋ฐฉ์‹.
์˜ˆ: ํ”ผ๋ณด๋‚˜์น˜ ์ˆ˜์—ด, ๋ฐฐ๋‚ญ ๋ฌธ์ œ, ์ตœ์žฅ ๊ณตํ†ต ๋ถ€๋ถ„ ์ˆ˜์—ด
โ˜‘๏ธŽ ํƒ์š•๋ฒ• (Greedy Method)
๋งค ๋‹จ๊ณ„์—์„œ ๊ฐ€์žฅ ์ตœ์„ ์˜ ์„ ํƒ์„ ํ•˜๋Š” ๋ฐฉ์‹. ์ „์ฒด ์ตœ์  ํ•ด๋ฅผ ๋ณด์žฅํ•˜์ง€๋Š” ์•Š์Œ.
์˜ˆ: ๋™์ „ ๊ฑฐ์Šค๋ฆ„๋ˆ ๋ฌธ์ œ, ํฌ๋ฃจ์Šค์นผ ์•Œ๊ณ ๋ฆฌ์ฆ˜
โ˜‘๏ธŽ ํ‡ด๊ฐ ๊ฒ€์ƒ‰๋ฒ• (Backtracking)
ํ•ด๋ฅผ ์ฐพ๋‹ค๊ฐ€ ์กฐ๊ฑด์— ๋งž์ง€ ์•Š์œผ๋ฉด ์ด์ „ ๋‹จ๊ณ„๋กœ ๋˜๋Œ์•„๊ฐ€์„œ ๋‹ค์‹œ ํƒ์ƒ‰ํ•˜๋Š” ๋ฐฉ์‹.
์˜ˆ: N-Queen, ๋ฏธ๋กœ ์ฐพ๊ธฐ, ์ˆœ์—ด ์ƒ์„ฑ
โ˜‘๏ธŽ ๋ถ„๊ธฐ ํ•œ์ •๋ฒ• (Branch & Bound)
๊ฐ€๋Šฅํ•œ ํ•ด์˜ ๊ณต๊ฐ„์„ ํŠธ๋ฆฌ ํ˜•ํƒœ๋กœ ๋‚˜๋ˆ„๊ณ , ์œ ๋งํ•˜์ง€ ์•Š์€ ํ•ด๋ฅผ ์ž˜๋ผ๋‚ด๋Š” ๋ฐฉ์‹.
์˜ˆ: ์™ธํŒ์› ๋ฌธ์ œ, ์ตœ์  ๊ฒฝ๋กœ ํƒ์ƒ‰
โ˜‘๏ธŽ ๊ทผ์‚ฌํ•ด๋ฒ• (Approximation Algorithm)
์ตœ์  ํ•ด๋ฅผ ๊ตฌํ•˜๊ธฐ ์–ด๋ ต๊ฑฐ๋‚˜ ์‹œ๊ฐ„์ด ์˜ค๋ž˜ ๊ฑธ๋ฆด ๋•Œ, ๊ทผ์‚ฌ์ ์œผ๋กœ ์ข‹์€ ํ•ด๋ฅผ ๋น ๋ฅด๊ฒŒ ๊ตฌํ•˜๋Š” ๋ฐฉ์‹.
์˜ˆ: NP-์™„์ „ ๋ฌธ์ œ์—์„œ ์‚ฌ์šฉ