Challenging, beyond recursion practice in this class, just an exercise to dissect hybird structure of tuples and lists val L1 = [1, 2, 3, 4, 5, 6, 7]; val L2 = ([([1,2],3), ([4,5,6],7)], (8,9)); Construct the following by ONE expression try ::nil style instead of [] Hint: try one at a time, figure out expressions for 1,2,...9 val a1 = #1 L2; val a2 = hd (al); val a3 = #1 a2; val a4 = hd a3; to get 1, combine the above val aa hd (#1 (hd (#1 L2))); = (1) [(3,6), (4,2)] from L1 (2) ([2], (3,[5])) from L1 (3) [2,3,5] from L2 (4) (8,4,2,1) from L2

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Depth First Search

Depth-first search (DFS) also known as Depth First traversal is an algorithm used to traverse or search the nodes in a tree or graph data structure. Traversal usually means visiting all the nodes of a graph. DFS performs in a depth-ward manner. It uses a stack to remember the vertices it has visited. The search starts from the root node, where any arbitrary node is selected as a root node in a graph, and then each node is explored along each branch before performing backtracking. The DFS algorithm uses a recursive technique by following the idea of backtracking. DFS algorithm does this by performing an in-depth search of all the nodes by traversing in a forward direction. If the required node is not found, it starts backtracking to previously visited nodes.