Python Programming – Longest Common Subsequence – Dynamic Programming – LCS problem has optimal substructure property as main problem can be solved.
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JAVA programming – Given a sorted array and a number x, find the pair in array whose sum is closest to x – Searching and sorting – Given a sorted array and a number x, find a pair in array whose sum is closest to x.
C++ programming – Given a sorted array and a number x, find the pair in array whose sum is closest to x – Searching and sorting – Given a sorted array and a number x, find a pair in array whose sum is closest to x.
Java Programming – Longest Common Subsequence – Dynamic Programming – LCS problem has optimal substructure property as main problem can be solved .
C++ Programming – Longest Common Subsequence – Dynamic Programming – LCS problem has optimal substructure property as main problem can be solved.
C Programming – Longest Common Subsequence – Dynamic Programming – LCS problem has optimal substructure property as main problem can be solved using solution.
C programming – Given a sorted array and a number x, find the pair in array whose sum is closest to x – Searching and sorting.- Given a sorted array. find a pair in array whose sum is closest to x.
C++ Programming-Find common elements in three sorted arrays – Searching and sorting – A simple solution is to first find intersection of two arrays and store the intersection in a temporary array, then find the intersection of third array and temporary array.
JAVA Programming-Find common elements in three sorted arrays – Searching and sorting – A simple solution is to first find intersection of two arrays and store the intersection in a temporary array, then find the intersection of third array and temporary array.
PYTHON Programming-Find common elements in three sorted arrays – Searching and sorting – A simple solution is to first find intersection of two arrays and store the intersection in a temporary array, then find the intersection of third array and temporary array.