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Dynamic Programming/edit distance.py

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+# https://www.geeksforgeeks.org/edit-distance-dp-5/
+
+s1 = "sunday"
+s2 = "saturday"
+n = len(s1)
+m = len(s2)
+
+arr = [[0 for i in range(m+1)] for i in range(n+1)]
+
+for i in range(m+1):
+    arr[0][i] = i
+
+for i in range(n+1):
+    arr[i][0] = i
+
+
+for i in range(1,n+1):
+    for j in range(1,m+1):
+        if s1[i-1] == s2[j-1]:
+            arr[i][j] = arr[i-1][j-1]
+        else:
+
+            arr[i][j] = min(arr[i-1][j],arr[i][j-1],arr[i-1][j-1])+1
+
+
+print(arr[n][m])

Dynamic Programming/longest increasing subsequence.py

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+# https://www.geeksforgeeks.org/longest-increasing-subsequence-dp-3/
+
+arr = [50, 3, 10, 7, 40, 80]
+ans = []
+
+for i in range(len(arr)):
+    c = 0
+    for j in range(i,len(arr)-1):
+        if(arr[j] < arr[j+1]):
+            c += 1
+    ans.append(c)
+print(max(ans)+1)

Dynamic Programming/min cost path.py

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+# https://www.geeksforgeeks.org/min-cost-path-dp-6/
+
+cost= [ [1, 2, 3],
+        [4, 8, 2],
+        [1, 5, 3] ]
+r = len(cost[0])
+c = len(cost)
+
+arr = [[0 for i in range(r)] for i in range(c)]
+
+m = 2
+n = 2
+
+arr[0][0] = cost[0][0]
+
+for i in range(1,m+1):
+    arr[i][0] = arr[i-1][0] + cost[i][0]
+
+for i in range(1,n+1):
+    arr[0][i] = arr[0][i-1] + cost[0][i]
+
+
+for i in range(1,m+1):
+    for j in range(1,n+1):
+        arr[i][j] = min(arr[i - 1][j - 1], arr[i - 1][j], arr[i][j - 1]) + cost[i][j]
+
+for i in arr:
+    print(i)
+
+print(arr[m][n])
+