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Learn how an adjacency list represents a graph, with array-based and linked-list implementations.
Learn how a Boolean matrix represents connections between graph vertices, including how the representation works and its time and space complexity.
A worked min-heap heapsort dry run connects the algorithm’s steps to pseudocode and a complete C++ implementation.
Trace heap key deletion through a diagram and pseudocode dry run, then implement the operation in a C++ min heap.
A diagram-led walkthrough traces min-heap insertion from a pseudocode dry run to a C++ implementation.
Learn how a heap’s complete binary tree structure maps to an array, and set up a C++ program to implement its operations.
A dry run breaks down the spacing and triangles that form a hollow diamond, then shows how to print the pattern in C++.
Learn what it means to balance a binary tree and why keeping subtree heights close matters.
Explains binary-tree breadth-first traversal through level-order reasoning, pseudocode, and a C++ implementation.
A step-by-step dry run and C++ implementation of iterative search in a binary search tree.
A diagram-led walkthrough of postorder traversal, from recursive pseudocode dry runs to a C++ implementation.
Learn in-order tree traversal by following its left-node-right sequence from diagram and pseudocode to a C++ implementation.
Learn preorder traversal by visiting each node before recursively traversing its left and right subtrees, then see the method implemented in C++.
Learn how binary trees are defined, how complete and balanced variants differ, and how to implement this structure.
Introduces tree data structures through a real-world hierarchy analogy, comparing their logical and implementation views and explaining key terms and properties.
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