Merge two sorted lists into one final sorted list by repeatedly comparing the first elements and inserting the smaller, then append the remaining elements when a sublist ends.

Explore how to implement selection sort in C++, including finding the minimum element and swapping it into place. The lesson demonstrates an unsorted list with iterations, prints, and complexity notes.

Analyze the time and space complexity of selection sort, showing all three cases yield O(n^2) time and O(1) extra space, and explain stability and how to make it stable.

learn to represent a binary tree with an array, using two dimensions for left and right children, and zeros as nulls to enable preorder traversal.

Learn how in-order traversal processes the left subtree, then the root, then the right, using a recursive pattern on trees, illustrated with a family-tree example.

Implement in order traversal using a 2D array in C++, mirroring preorder with left and right indices, treating missing nodes as zero and using recursion to visit left, root, right.

Master the postorder traversal by recursively processing the left subtree, then the right subtree, and finally the root, and compare it to preorder and inorder.

Examine the time-space complexity of binary tree traversals, showing each node is processed once. All three traversals share O(n) time, while space grows with tree height.