Depth-first Search – (Preorder, Inorder, and Postorder)

Depth-first Search – (Preorder, Inorder, and Postorder)

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

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This lecture provides a theoretical overview of tree traversal methods: preorder, inorder, and postorder. It explains a trick to derive these traversals, emphasizing that this method is not suitable for coding or interviews but useful for theoretical understanding. The lecture details how to perform each traversal and concludes with a generalization of the methods.

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7 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary focus of this lecture on tree traversals?

Algorithm optimization

Theoretical understanding

Interview preparation

Practical coding techniques

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In the trick for preorder traversal, when is a node added to the result?

When it has no children

When visited for the last time

When visited for the second time

When visited for the first time

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

During inorder traversal using the trick, when is a node added to the result?

When it has no children

When visited for the second time

When visited for the first time

When visited for the last time

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In postorder traversal, when is a node added to the result according to the trick?

When visited for the second time

When visited for the first time

When visited for the last time

When it has no children

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the sequence of node visits in a preorder traversal?

Left, Root, Right

Right, Left, Root

Root, Left, Right

Left, Right, Root

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In an inorder traversal, where is the root node placed in the sequence?

After left and right

Before left and right

Between left and right

Only if it has children

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the order of node visits in a postorder traversal?

Left, Right, Root

Right, Left, Root

Left, Root, Right

Root, Left, Right