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[john9803] WEEK 02 solutions #1234
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import java.math.BigInteger; | ||
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// 1, 2 걸음으로 n개의 계단을 올라가는 방법의 가짓수를 계산 | ||
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// ================================================================================ | ||
// * 풀이 1 * | ||
// ================================================================================ | ||
// n <= 45 이므로 최대한 2로 나눠서 가짓수 구하기 | ||
// n이 커짐에 따라서 계산의 범위가 굉장히 늘어남. | ||
// 계산범위 초과로 풀이 실패. | ||
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// ================================================================================ | ||
// * 풀이 2 * | ||
// ================================================================================ | ||
// 풀이 1을 보완한 풀이 | ||
// 단순히 조합 구현말고 다른 해결방안이 필요함 -> BigInteger로 계산범위 늘림. | ||
// 풀이성공 -> 다만 런타임 시간이 평균풀이보다 너무 길고, 메모리 사용이 높아서 새로운 풀이 생각해봄. | ||
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// ================================================================================ | ||
// * 풀이 3 * | ||
// ================================================================================ | ||
// 더 빠른 풀이를 위해서 찾아보던 중. n이 커짐에 따라서 나오는 값들의 규칙이 피보나치 배열임을 발견. | ||
// f(n) = f(n-1) + f(n-2) 임을 이용해서 빠르게 풀이. | ||
// 시간복잡도 = O(n) | ||
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class john9803 { | ||
public int climbStairs(int n) { | ||
// return firstApproch(n); | ||
// return bigIntSolve(n); | ||
return piboSolve(n); | ||
} | ||
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public int firstApproch(int n){ | ||
int result = 0; | ||
// 2걸음 최대한 들어가고 남은데 1로 채워넣는 걸로 가짓수 세기 | ||
for(int step=0; 2*step<=n; step++){ | ||
// 2걸음과 1은 순서를 가짐 | ||
int totalNumCnt = step + (n-(2*step)); | ||
// (totalNumCnt)C(step) -> Combination 을 계산해서 result에 더함 | ||
int top = 1; | ||
int bottom = 1; | ||
// 처음에는 분자분모를 int로 놓았다가 분자계산에서 int범위를 벗어남. | ||
for(int c =0; c< step; c++){ | ||
top *= (totalNumCnt-c); | ||
bottom *= (step-c); | ||
} | ||
result = result + (int)(top/bottom); | ||
// System.out.println("top: "+ top + " bottom: " + bottom + " step is: " + step +" result is: "+ result); | ||
} | ||
return result; | ||
} | ||
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// 단순한 재귀를 통한 문제풀이 | ||
// 문제가 생겼던 부분 n이 커짐에 따라서 계산범위가 커졌음. | ||
// 따라서 결과적으로 계산이 가능하게끔 메모리를 크게 부여하는 BigInteger를 사용하는 방법으로 풀이 | ||
public int bigIntSolve(int n){ | ||
int result = 0; | ||
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for(int step=0; 2*step<=n; step++){ | ||
int totalNumCnt = step + (n-(2*step)); | ||
// (totalNumCnt)C(step) -> Combination 을 계산해서 result에 더함 | ||
BigInteger top = new BigInteger("1"); | ||
BigInteger bottom = new BigInteger("1"); | ||
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for(int c =0; c< step; c++){ | ||
top = top.multiply(new BigInteger(String.valueOf(totalNumCnt-c))); | ||
bottom = bottom.multiply(new BigInteger(String.valueOf(step-c))); | ||
} | ||
result += (top.divide(bottom)).intValue(); | ||
// System.out.println("top: "+ top + " bottom: " + bottom + " step is: " + step +" result is: "+ result); | ||
} | ||
return result; | ||
} | ||
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// n이 커짐에 따라서 값이 피보나치 수열의 규칙성을 지니는 것을 파악함. | ||
// 풀이를 피보나치 수열을 이용해 풀이 하도록 구현 | ||
// f(n) = f(n-1) + f(n-2) 임을 이용. | ||
public int piboSolve(int n){ | ||
int prev = 1; | ||
int curr = 1; | ||
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for(int i=2; i<=n; i++){ | ||
int temp = prev+curr; | ||
prev = curr; | ||
curr = temp; | ||
} | ||
return curr; | ||
} | ||
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} |
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class john9803 { | ||
public int[] twoSum(int[] nums, int target) { | ||
int[] result = n2Solve(nums, target); | ||
return result; | ||
} | ||
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public int[] n2Solve(int[] nums, int target){ | ||
// 일반적인 N^2 풀이 | ||
int alpha_target = 0; | ||
int beta_target = 0; | ||
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int[] truth_arr = new int[2]; | ||
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gnd: for(int i =0; i<nums.length; i++){ | ||
alpha_target = nums[i]; | ||
for( int j=i+1; j<nums.length; j++){ | ||
beta_target = nums[j]; | ||
if(alpha_target+beta_target==target){ | ||
truth_arr[0] = i; | ||
truth_arr[1] = j; | ||
break gnd; | ||
} | ||
} | ||
} | ||
return truth_arr; | ||
} | ||
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// n2미만으로도 풀이해보기 | ||
// public int[] 2nSolve(int[] nums, int target){ | ||
// return []; | ||
// } | ||
} |
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import java.util.Arrays; | ||
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public class john9803{ | ||
public boolean isAnagram(String s, String t) { | ||
// Max 시간복잡도 -> 5^2 * 10^8 = 1억 미만, 브루트포스 풀이 | ||
char[] charS = s.toCharArray(); | ||
char[] charT = t.toCharArray(); | ||
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Arrays.sort(charS); | ||
Arrays.sort(charT); | ||
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if(String.valueOf(charS).equals(String.valueOf(charT))){return true;} | ||
else{return false;} | ||
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} |
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해당 문제의 경우 O(n) 으로 풀이하는 방법도 있습니다!
힌트는 Map 사용이에요ㅎㅎ 자세한 설명이 필요하실 경우
리트코드 - 채팅
에 부담없이 절 태그해주세요!There was a problem hiding this comment.
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넵 한번 고민해보고 도움 필요시 요청드리겠습니다!