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118
Programs/9_DynamicProgramming/32_Length_of_Shortest_Common_Supersequence.py
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# https://www.geeksforgeeks.org/problems/shortest-common-supersequence0322/1 , Medium | ||
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# Recursion | ||
# T.C. - O(ind1*ind2*2^n) | ||
# S.C - O(min(ind1,ind2)) | ||
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class Solution: | ||
def solve(self, i1, i2, X, Y): | ||
if i1 == 0 or i2 == 0: | ||
return 0 | ||
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match, notMatch = 0, 0 | ||
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if X[i1 - 1] == Y[i2 - 1]: | ||
match = 1 + self.solve(i1 - 1, i2 - 1, X, Y) | ||
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else: | ||
notMatch = max(self.solve(i1 - 1, i2, X, Y), self.solve(i1, i2 - 1, X, Y)) | ||
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return max(match, notMatch) | ||
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def shortestCommonSupersequence(self, X, Y, m, n): | ||
lcs_length = self.solve(m, n, X, Y) | ||
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return (m + n) - lcs_length | ||
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# Memoization | ||
# T.C. - O(ind1*ind2*n) | ||
# S.C - O(min(ind1,ind2))+O(ind1*ind2) | ||
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class Solution: | ||
def solve(self, i1, i2, X, Y, dp): | ||
if (i1, i2) in dp: | ||
return dp[(i1, i2)] | ||
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if i1 == 0 or i2 == 0: | ||
return 0 | ||
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match, notMatch = 0, 0 | ||
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if X[i1 - 1] == Y[i2 - 1]: | ||
match = 1 + self.solve(i1 - 1, i2 - 1, X, Y, dp) | ||
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else: | ||
notMatch = max( | ||
self.solve(i1 - 1, i2, X, Y, dp), self.solve(i1, i2 - 1, X, Y, dp) | ||
) | ||
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dp[(i1, i2)] = max(match, notMatch) | ||
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return dp[(i1, i2)] | ||
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def shortestCommonSupersequence(self, X, Y, m, n): | ||
lcs_length = self.solve(m, n, X, Y, {}) | ||
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return (m + n) - lcs_length | ||
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# Tabulation | ||
# T.C. - O(ind1*ind2) | ||
# S.C - O(ind1*ind2) | ||
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class Solution: | ||
def shortestCommonSupersequence(self, X, Y, m, n): | ||
dp = [[0 for _ in range(n + 1)] for _ in range(m + 1)] | ||
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for i1 in range(m + 1): | ||
for i2 in range(n + 1): | ||
if i1 == 0 or i2 == 0: | ||
dp[i1][i2] = 0 | ||
else: | ||
match, notMatch = 0, 0 | ||
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if X[i1 - 1] == Y[i2 - 1]: | ||
match = 1 + dp[i1 - 1][i2 - 1] | ||
else: | ||
notMatch = max(dp[i1 - 1][i2], dp[i1][i2 - 1]) | ||
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dp[i1][i2] = max(match, notMatch) | ||
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lcs_length = dp[m][n] | ||
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return (m + n) - lcs_length | ||
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# Space Optimized | ||
# T.C. - O(ind1*ind2) | ||
# S.C - O(ind2) | ||
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class Solution: | ||
def shortestCommonSupersequence(self, X, Y, m, n): | ||
dp = [0 for _ in range(n + 1)] | ||
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for i1 in range(m + 1): | ||
tmp = [0 for _ in range(n + 1)] | ||
for i2 in range(n + 1): | ||
if i1 == 0 or i2 == 0: | ||
tmp[i2] = 0 | ||
else: | ||
match, notMatch = 0, 0 | ||
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if X[i1 - 1] == Y[i2 - 1]: | ||
match = 1 + dp[i2 - 1] | ||
else: | ||
notMatch = max(dp[i2], tmp[i2 - 1]) | ||
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tmp[i2] = max(match, notMatch) | ||
dp = tmp | ||
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lcs_length = dp[n] | ||
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return (m + n) - lcs_length |
49 changes: 49 additions & 0 deletions
49
Programs/9_DynamicProgramming/33_Print_Shortest_Common_Supersequence.py
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# https://leetcode.com/problems/shortest-common-supersequence/ , Hard | ||
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# Tabulation | ||
# T.C. - O(m*m)+O(n*m) | ||
# S.C - O(n*m)+O(k) | ||
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class Solution: | ||
def shortestCommonSupersequence(self, str1: str, str2: str) -> str: | ||
dp = [[0 for _ in range(len(str2) + 1)] for _ in range(len(str1) + 1)] | ||
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for i1 in range(len(str1) + 1): | ||
for i2 in range(len(str2) + 1): | ||
if i1 == 0 or i2 == 0: | ||
dp[i1][i2] = 0 | ||
else: | ||
match, notMatch = 0, 0 | ||
if str1[i1 - 1] == str2[i2 - 1]: | ||
match = 1 + dp[i1 - 1][i2 - 1] | ||
else: | ||
notMatch = max(dp[i1 - 1][i2], dp[i1][i2 - 1]) | ||
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dp[i1][i2] = max(match, notMatch) | ||
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i1, i2 = len(str1), len(str2) | ||
st = "" | ||
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while i1 > 0 and i2 > 0: | ||
if str1[i1 - 1] == str2[i2 - 1]: | ||
st += str1[i1 - 1] | ||
i1 -= 1 | ||
i2 -= 1 | ||
elif dp[i1 - 1][i2] > dp[i1][i2 - 1]: | ||
st += str1[i1 - 1] | ||
i1 -= 1 | ||
else: | ||
st += str2[i2 - 1] | ||
i2 -= 1 | ||
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while i1 > 0: | ||
st += str1[i1 - 1] | ||
i1 -= 1 | ||
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while i2 > 0: | ||
st += str2[i2 - 1] | ||
i2 -= 1 | ||
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return st[::-1] |
33 changes: 33 additions & 0 deletions
33
Programs/9_DynamicProgramming/34_Longest_Palindromic_Substring.py
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# https://leetcode.com/problems/longest-palindromic-substring/ , Medium | ||
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# Tabulation | ||
# T.C. - O(n^2) | ||
# S.C - O(n^2) | ||
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class Solution: | ||
def longestPalindrome(self, s: str) -> str: | ||
dp = [[0 for _ in range(len(s))] for _ in range(len(s))] | ||
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res = "" | ||
maxLen = 0 | ||
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for diff in range(len(s)): | ||
for i in range(len(s)): | ||
j = i + diff | ||
if j < len(s): | ||
if i == j: | ||
dp[i][j] = 1 | ||
elif diff == 1: | ||
dp[i][j] = 2 if s[i] == s[j] else 0 | ||
else: | ||
if s[i] == s[j] and dp[i + 1][j - 1]: | ||
dp[i][j] = dp[i + 1][j - 1] + 2 | ||
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if dp[i][j]: | ||
if dp[i][j] > maxLen: | ||
maxLen = dp[i][j] | ||
res = s[i : i + diff + 1] | ||
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return res |
119 changes: 119 additions & 0 deletions
119
Programs/9_DynamicProgramming/35_Distinct_Subsequences.py
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# https://leetcode.com/problems/distinct-subsequences/ , Hard | ||
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# Recursion | ||
# T.C. - O(2^(n*m)) | ||
# S.C - O(n+m) | ||
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class Solution: | ||
def solve(self, i: int, j: int, s: str, t: str) -> int: | ||
# Base Case | ||
if j == 0: | ||
return 1 | ||
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if i == 0: | ||
return 0 | ||
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# Try out all ways | ||
match, notMatch = 0, 0 | ||
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# Match | ||
if s[i - 1] == t[j - 1]: | ||
match = self.solve(i - 1, j - 1, s, t) + self.solve(i - 1, j, s, t) | ||
return match | ||
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else: | ||
# notMatch | ||
notMatch = self.solve(i - 1, j, s, t) | ||
return notMatch | ||
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def numDistinct(self, s: str, t: str) -> int: | ||
return self.solve(len(s), len(t), s, t) | ||
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# Memoization | ||
# T.C. - O(N*M) | ||
# S.C - O(n+m)+O(n*m) | ||
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class Solution: | ||
def solve(self, i: int, j: int, s: str, t: str, dp: dict) -> int: | ||
if (i, j) in dp: | ||
return dp[(i, j)] | ||
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# Base Case | ||
if j == 0: | ||
return 1 | ||
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if i == 0: | ||
return 0 | ||
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# Try out all ways | ||
match, notMatch = 0, 0 | ||
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# Match | ||
if s[i - 1] == t[j - 1]: | ||
match = self.solve(i - 1, j - 1, s, t, dp) + self.solve(i - 1, j, s, t, dp) | ||
dp[(i, j)] = match | ||
return dp[(i, j)] | ||
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else: | ||
# notMatch | ||
notMatch = self.solve(i - 1, j, s, t, dp) | ||
dp[(i, j)] = notMatch | ||
return dp[(i, j)] | ||
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def numDistinct(self, s: str, t: str) -> int: | ||
return self.solve(len(s), len(t), s, t, {}) | ||
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# Tabulation | ||
# T.C. - O(N*M) | ||
# S.C - O(n*m) | ||
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class Solution: | ||
def numDistinct(self, s: str, t: str) -> int: | ||
dp = [[0 for _ in range(len(t) + 1)] for _ in range(len(s) + 1)] | ||
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for i in range(len(s) + 1): | ||
for j in range(len(t) + 1): | ||
if j == 0: | ||
dp[i][j] = 1 | ||
elif i == 0: | ||
dp[i][j] = 0 | ||
else: | ||
if s[i - 1] == t[j - 1]: | ||
dp[i][j] = dp[i - 1][j - 1] + dp[i - 1][j] | ||
else: | ||
dp[i][j] = dp[i - 1][j] | ||
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return dp[len(s)][len(t)] | ||
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# Space Optimized | ||
# T.C. - O(N*M) | ||
# S.C - O(m)+O(n) | ||
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class Solution: | ||
def numDistinct(self, s: str, t: str) -> int: | ||
dp = [0 for _ in range(len(t) + 1)] | ||
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for i in range(len(s) + 1): | ||
tmp = [0 for _ in range(len(t) + 1)] | ||
for j in range(len(t) + 1): | ||
if j == 0: | ||
tmp[j] = 1 | ||
elif i == 0: | ||
tmp[j] = 0 | ||
else: | ||
if s[i - 1] == t[j - 1]: | ||
tmp[j] = dp[j - 1] + dp[j] | ||
else: | ||
tmp[j] = dp[j] | ||
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dp = tmp | ||
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return dp[len(t)] |
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