SDE - 1

You are given an array consisting of N non-negative integers, and an integer K denoting the length of a subarray, your task is to determine the maximum elements for each subarray of size K.

Note:

A subarray is a contiguous subset of an array.

The array may contain duplicate elements.

The given array follows 0-based indexing.

It is guaranteed that there exists at least one subarray of size K.

You are given an arbitrary binary tree consisting of N nodes where each node is associated with a certain value. You need to check whether the given tree is a sum tree or not.

A binary tree is a sum tree if the value of each node is equal to the sum of nodes present in the left and the right subtree. An empty tree is a sum tree with 0 sums. A leaf node is also considered a sum tree with a sum equal to the value of the leaf node.

You are given an ‘M*N’ Matrix, You need to print all possible paths from its top left corner to the bottom right corner if given that you can either move right i.e from (i,j) to (i,j+1) or down i.e from (i, j) to (i+1, j).

For Example :

1 2 3
4 5 6

For the above 2*3 matrix , possible paths are (1 2 3 6) , (1 2 5 6) , (1 4 5 6).

Note :

You can return the paths in any order.

You are given a Binary Tree ‘root’. The given Binary Tree may or may not be a Binary Search Tree(BST) itself. Your task is to find the maximum sum of node values of any subtree that is a Binary Search Tree(BST).

Binary Search Tree is defined as follows:

1) If the left subtree exists it should contain only nodes with values less than the current node's value.

2) If the right subtree exists it should contain only nodes with values greater than the current node's value.

3) Both the left and right subtrees should also be Binary Search Tree.

Example :

For the above binary tree, the BST with the maximum possible sum is marked with RED colour, the sum of this BST is equal to 6.

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