Datastructures in C Programming

Explore stacks as a linear data structure with push, pop, peek operations, top handling, and overflow/underflow checks, then apply to infix/postfix/prefix conversions, evaluation, tower of Hanoi, and reversing data.

Explore queue operations, including simple and circular queues with insert and delete, overflow/underflow checks, and front pointer management; compare priority queues and double-ended queues, and note direct and indirect applications.

Explore circular and doubly linked lists, their node structures with next and previous pointers, and core operations like traversing the list, inserting, and deleting, plus advantages and disadvantages.

Explore the fundamentals of trees as a data structure in C programming, including nodes, root, ancestors, descendants, leaves, siblings, height, and types like binary and m-ary trees, with real-world applications.

Explore binary tree data structures, including strictly, complete, and almost complete trees, and master preorder, inorder, postorder, and level-order (breadth-first) traversals.

Explore binary search trees, where left keys are smaller and right keys are larger for efficient search, insertion, and deletion. Learn deletion cases and how to find in order successors.

Explore insertion and deletion in trees, balance factors, and rebalancing through single and double rotations to maintain stability.

Explore graphs by defining vertices and edges, explain undirected and directed graphs, degrees, paths, cycles, connected components, and subgraphs, and compare adjacency matrix and adjacency lists representations.

Explore graph concepts and applications across circuits, networks, and databases, and learn Walsh's algorithm, depth-first search, and breadth-first search for traversing and analyzing graphs.

Learn how to perform a linear search on a list by comparing each element with the key, report the location or not found, and analyze the search’s performance.

Binary search on a sorted list uses divide and conquer, compares to the middle element, and narrows to the half, with a C++ style implementation example.

Explore merge sort in C programming through divide and conquer, partitioning elements into two groups, recursively sorting each, and merging two sorted lists into a single sorted list.

Explore quicksort with in-place partitioning around a pivot, separating elements into less than and greater than the pivot, and recursively sorting subarrays, with best and worst-case times.

Explore sorting, its time and space complexity, and asymptotic notations like big-O and Omega, while reviewing primary algorithms such as bubble, selection, insertion, merge, quick, shell, heap sort.