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์ฝ”๊ณ 

๋ฌธ์ œ
AI ๋งž์ถค ๋ฌธ์ œ ์ถ”์ฒœ
์ถ”์ฒœ ๋ฐฉํ–ฅ์„ ์„ ํƒํ•ด์ฃผ์„ธ์š”.
๋ฌธ์ œ๋ฒˆํ˜ธ ๋ฌธ์ œ ๋‚œ์ด๋„ ๋งž์ถ˜์ˆ˜ ์ œ์ถœ์ˆ˜ ์ •๋‹ต๋น„์œจ
2604 ์กฐํ•ฉ๋ก  (์นดํƒˆ๋ž€ ์ˆ˜) ๊ทธ๋ž˜ํ”„ ํƒ์ƒ‰ 1 2 50%
2605 ํฌ์†Œ ํ…Œ์ด๋ธ”(Sparse Table) ๊ทธ๋ž˜ํ”„ ํƒ์ƒ‰ 2 4 50%
2606 ๋ถ„ํ•  ์ •๋ณต (ํ–‰๋ ฌ ๊ฑฐ๋“ญ์ œ๊ณฑ) ๊ทธ๋ž˜ํ”„ ํƒ์ƒ‰ 2 9 22.22%
2607 ์Šค์œ„ํ•‘ ์•Œ๊ณ ๋ฆฌ์ฆ˜ (Sweeping) ๊ทธ๋ž˜ํ”„ ํƒ์ƒ‰ 4 23 17.39%
2608 ํŠธ๋ผ์ด (Trie) ์ž๋ฃŒ๊ตฌ์กฐ ๊ทธ๋ž˜ํ”„ ํƒ์ƒ‰ 3 4 75%
2609 ๊ฒŒ์ž„ ์ด๋ก  (๋‹˜ ๊ฒŒ์ž„) ๊ทธ๋ž˜ํ”„ ํƒ์ƒ‰ 5 5 100%
2610 ๋ฒจ๋งŒ-ํฌ๋“œ (Bellman-Ford) ๊ทธ๋ž˜ํ”„ ํƒ์ƒ‰ 3 7 42.86%
2611 ๋‹ค๊ฐํ˜•์˜ ๋‚ด๊ฐ ๊ทธ๋ž˜ํ”„ ํƒ์ƒ‰ 5 8 62.5%
2612 ๋‹ค์ต์ŠคํŠธ๋ผ ์ตœ๋‹จ ๊ฒฝ๋กœ ๊ทธ๋ž˜ํ”„ ํƒ์ƒ‰ 5 6 83.33%
2613 ๋ฐฐ๋‚ญ ๋ฌธ์ œ (Knapsack) ๊ทธ๋ž˜ํ”„ ํƒ์ƒ‰ 4 5 80%
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