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  • Codility - Triangle

    ## Triangle ### ๋ฌธ์ œ ๊ธธ์ด N์˜ ๋ฐฐ์—ด A๊ฐ€ ์ฃผ์–ด์ง„๋‹ค. (P, Q, R)์€ ์‚ผ๊ฐํ˜•์ด ๋  ์ˆ˜ ์žˆ๋Š”๋ฐ, ์ด๋Š” - 0 โ‰ค P < Q < R < N - A[P] + A[Q] > A[R] - A[Q] + A[R] > A[P] - A[R] + A[P] > A[Q] ๋ผ๋Š” ์กฐ๊ฑด์„ ๋งŒ์กฑ ํ•˜๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ``` A[0] = 10 A[1] ...

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  • Codility - Binary Gap

    ## 1-1 Binary Gap ### ๋ฌธ์ œ ์ˆซ์ž N์„ ์ด์ง„์ˆ˜๋กœ ๋ฐ”๊ฟจ์„๋•Œ, 1๊ณผ 1์‚ฌ์ด์— ์žˆ๋Š” 0์˜ ๊ฐœ์ˆ˜๊ฐ€ ๊ฐ€์žฅ ๋งŽ์ด ์—ฐ์†ํ•ด ์žˆ๋Š” 0์˜ ๊ฐœ์ˆ˜๋ฅผ ๊ตฌํ•˜๋ผ. ``` 9๋Š” ์ด์ง„์ˆ˜๋กœ ๋ฐ”๊ฟ€ ๊ฒฝ์šฐ 1001, ์ด๊ฒฝ์šฐ 0์˜ ์ตœ๋Œ€ ๊ฐœ์ˆ˜๋Š” 2. 529๋Š” ์ด์ง„์ˆ˜๋กœ ๋ฐ”๊ฟ€ ๊ฒฝ์šฐ 1000010001, ์ด๊ฒฝ์šฐ 0์˜ ์ตœ๋Œ€ ๊ฐœ์ˆ˜๋Š” 3. 20์€ ์ด์ง„์ˆ˜๋กœ ๋ฐ”๊ฟ€ ๊ฒฝ์šฐ 10100, ์ด ๊ฒฝ์šฐ...

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  • Codility - Cyclic Rotation

    ## 2-1 Cyclic Rotation ### ๋ฌธ์ œ ๋ฐฐ์—ด A๊ฐ€ ์ฃผ์–ด์ง€๊ณ  ์ด๋ฅผ K๋ฒˆ ๊ฐ ๋ฐฐ์—ด์˜ ์š”์†Œ๋ฅผ ์˜ค๋ฅธ์ชฝ์œผ๋กœ ์ด๋™์‹œ์ผฐ์„ ๋•Œ, ๊ทธ ๊ฒฐ๊ณผ๋ฅผ ๋ฆฌํ„ดํ•˜์‹œ์˜ค. ``` A = [3, 8, 9, 7, 6] K = 3 [3, 8, 9, 7, 6] -> [6, 3, 8, 9, 7] [6, 3, 8, 9, 7] -> [7, 6, 3, 8, 9] [7, 6, 3, 8...

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  • Codility - Odd Occurrences in array

    ## 2-2 Odd Occurrences in array ### ๋ฌธ์ œ ์ˆซ์ž๋กœ ์ด๋ค„์ง„ ๋ฐฐ์—ด์—์„œ ํ™€์ˆ˜ ๋ฒˆ ๋“ฑ์žฅํ•˜๋Š” ์ˆซ์ž๋ฅผ ์ฐพ์•„์„œ ๋ฆฌํ„ดํ•ด๋ผ. ``` A[0] = 9 A[1] = 3 A[2] = 9 A[3] = 3 A[4] = 9 A[5] = 7 A[6] = 9 7์€ ํ•œ๋ฒˆ๋งŒ ๋“ฑ์žฅํ•˜๋ฏ€๋กœ 7์„ ๋ฆฌํ„ดํ•ด์•ผ ํ•œ๋‹ค. ``` ### ํ’€์ด ```javascri...

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  • Codility - Frog Jump

    ## 3-1 Frog Jump ### ๋ฌธ์ œ ๊ฐœ๊ตฌ๋ฆฌ๊ฐ€ X์—์„œ Y๊นŒ์ง€ ๋›ฐ์–ด์•ผ ํ•˜๊ณ , ํ•œ๋ฒˆ์— D ๋งŒํผ ์ ํ”„ ํ•  ์ˆ˜ ์žˆ์„ ๋•Œ, ๋ช‡๋ฒˆ์„ ๋›ฐ์–ด์•ผ ํ•˜๋Š”๊ฐ€? ### ํ’€์ด ```javascript function solution(X, Y, D) { return Math.ceil((Y - X) / D) } ``` https://app.codility.com/...

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  • Codility - Perm missing elem

    ## 3-2 Perm Missing Elem ### ๋ฌธ์ œ ๊ธธ์ด N์œผ๋กœ ์ด๋ฃจ์–ด์ง„ ๋ฐฐ์—ด A์€, 1๋ถ€ํ„ฐ N+1 ์˜ ์ˆซ์ž๋กœ ์ด๋ฃจ์–ด์ ธ ์žˆ๋‹ค. ์—ฌ๊ธฐ์—์„œ ๋น ์ง„ ์ˆซ์ž๋ฅผ ์ฐพ์•„๋ผ. ``` A[0] = 2 A[1] = 3 A[2] = 1 A[3] = 5 4 ๊ฐ€ ๋ˆ„๋ฝ๋˜์–ด ์žˆ์œผ๋ฏ€๋กœ, ์ •๋‹ต์€ 4 ๋‹ค. ``` ### ํ’€์ด ```javascript function solut...

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  • Codility - Tape Equilibrium

    ## Tape Equilibrium ### ๋ฌธ์ œ ๊ธธ์ด N์˜ ๋ฐฐ์—ด์„ ์ž„์˜๋กœ ๋‘๊ฐœ๋กœ ์ชผ๊ฐœ๊ณ , ์ด๋ ‡๊ฒŒ ํ•ด์„œ ์ƒ๊ธด ๋‘๋ฐฐ์—ด์˜ ํ•ฉ์„ ๊ฐ๊ฐ ๊ตฌํ• ๋•Œ, ์ด ์„œ๋กœ ๋‘ํ•ฉ์˜ ์ฐจ์ด๊ฐ€ ๊ฐ€์žฅ ์ž‘์€ ๊ฒฝ์šฐ๋ฅผ ๊ตฌํ•˜๋ผ. ``` A[0] = 3 A[1] = 1 A[2] = 2 A[3] = 4 A[4] = 3 ์ด๊ฒฝ์šฐ ๋„ค๊ฐ€์ง€๋กœ ์ชผ๊ฐค ์ˆ˜ ์žˆ๋Š”๋ฐ P = 1, difference = |3 โˆ’ ...

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  • Codility - Perm Check

    ## Perm Check ### ๋ฌธ์ œ ๊ธธ์ด N์ธ ๋ฐฐ์—ด์ด ์ฃผ์–ด์ ธ ์žˆ๊ณ , ์•ˆ์—๋Š” ์„œ๋กœ ๋‹ค๋ฅธ ์ˆซ์ž๊ฐ€ ๋“ค์–ด๊ฐ€ ์žˆ๋‹ค. ์ด ์„œ๋กœ ๋‹ค๋ฅธ ์ˆซ์ž๊ฐ€ ์—ฐ์†ํ•˜๋Š” ์ˆซ์ž๋ฉด true, ์•„๋‹ˆ๋ผ๋ฉด false๋ฅผ ๋ฆฌํ„ดํ•˜๋ผ. ``` A[0] = 4 A[1] = 1 A[2] = 3 A[3] = 2 ๋Š” 1์„ ๋ฆฌํ„ดํ•˜๋ฉด ๋œ๋‹ค. ``` ``` A[0] = 4 A[1] = 1 A[2] = 3 ...

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  • Codility - Count div

    ## Count Div ### ๋ฌธ์ œ A์™€ A๋ณด๋‹ค ๊ฐ™๊ฑฐ๋‚˜ ํฐ B, ๊ทธ๋ฆฌ๊ณ  K๊ฐ€ ์ฃผ์–ด์งˆ ๋•Œ, A์™€ B์‚ฌ์ด์— K๋กœ ๋‚˜๋ˆ„๋ฉด ๋‚˜๋จธ์ง€๊ฐ€ 0์ธ ์ˆซ์ž์˜ ๊ฐœ์ˆ˜๋ฅผ ๊ตฌํ•˜๋ผ. ``` A=6 B=11 K=2 6, 8, 10 ์ด ์žˆ์œผ๋ฏ€๋กœ, ์ •๋‹ต์€ 3 ์ด๋‹ค. ``` ### ํ’€์ด ```javascript function solution(A, B, K) { return ...

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  • Codility - Genomic Range Query

    ## Genomic Range Query ### ๋ฌธ์ œ DNA๋Š” A, C, G, T๋กœ ๊ตฌ์„ฑ๋˜์–ด ์žˆ๋Š”๋ฐ, ์ด๋Š” ๊ฐ๊ฐ 1, 2, 3, 4๋ฅผ ๊ฐ€๋ฅดํ‚จ๋‹ค. ์ด๋Ÿฌํ•œ DNA๋ฅผ ๋ฆฌํ„ดํ•˜๋Š” S๊ฐ€ ์žˆ๊ณ , ๋ฐฐ์—ด์˜ ๊ธธ์ด๊ฐ€ ๊ฐ™์€ P์™€ Q๊ฐ€ ์žˆ๋‹ค. ``` S=CAGCCTA P=[2, 5, 0] Q=[4, 5, 6] ๊ฐ 0๋ฒˆ์งธ ์š”์†Œ๋Š” 2, 4๋‹ค. 2๋ฒˆ์งธ ~ 4๋ฒˆ์งธ DNA๋Š” GCC...

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  • Codility - Min Avg Two Slice

    ## Min Avg Two Slice ### ๋ฌธ์ œ ๊ธธ์ด๊ฐ€ N์ธ ๋น„์–ด์žˆ์ง€ ์•Š์€ ๋ฐฐ์—ด A๊ฐ€ ์ฃผ์–ด์ง„๋‹ค. ํ•œ์Œ์˜ ์ˆซ์ž P, Q์˜ ๋ฒ”์œ„๋Š” `0 <= P < Q < N` ๋‹ค. ์ฃผ์–ด์ง„ P์™€ Q๋กœ A๋ฐฐ์—ด์„ sliceํ•œ๋‹ค. (์ตœ์†Œ 2๊ฐœ์ด์ƒ์˜ ์š”์†Œ๊ฐ€ ์žˆ์–ด์•ผ ํ•œ๋‹ค.) (P, Q)๋Š” `A[P] + A[P + 1] + ... + A[Q]`์ด๋ฉฐ, (P, Q)์˜ ํ‰๊ท ์€ `(A[P...

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  • Codility - Passing Cars

    ## Passing Cars ### ๋ฌธ์ œ N์˜ ๊ธธ์ด๋กœ ์ด๋ฃจ์–ด์ง„ ๋ฐฐ์—ด A๋Š” 0๊ณผ 1๋กœ ์ด๋ฃจ์–ด์ ธ ์žˆ๋Š”๋ฐ, 0๊ณผ 1์€ ๊ฐ๊ฐ ๋‹ค์Œ๊ณผ ๊ฐ™์€ ์˜๋ฏธ๋ฅผ ๊ฐ€์ง€๊ณ  ์žˆ๋‹ค. - 0์€ ์ฐจ๊ฐ€ ๋™์ชฝ์œผ๋กœ ๊ฐ„๋‹ค - 1์€ ์ฐจ๊ฐ€ ์„œ์ชฝ์œผ๋กœ ๊ฐ„๋‹ค ์ด ๋•Œ ๋™์ชฝ์œผ๋กœ ๊ฐ„ ์ฐจ์™€ ์„œ์ชฝ์œผ๋กœ ๊ฐ„ ์ฐจ๋ฅผ ์ง์ง€์„ ์ˆ˜ ์žˆ๋Š” ๊ฐœ์ˆ˜๋ฅผ ๊ตฌํ•˜๋ผ. ๋‹จ ๋จผ์ € ๋™์ชฝ์œผ๋กœ ๊ฐ„์ฐจ์™€ ๊ทธ ์ดํ›„์— ์„œ์ชฝ์œผ๋กœ ๊ฐ„ ์ฐจ๋งŒ ์ง ์ง€์„ ์ˆ˜ ...

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