Master Data Structures , Algorithms & Interview using C++

Learn static memory allocation by examining how the compiler allocates variables on the stack at compile time, creates a stack frame, and automatically deallocates it when the scope ends.

Explore dynamic memory allocation in C++ by distinguishing heap memory from stack and using pointers with the new operator. Understand memory leaks and proper deletion to manage memory responsibly.

Explore why arrays are used as a data structure by storing similar type data contiguously, with fixed size, and discuss drawbacks like wasted memory and the difficulty of resizing.

Explore five common ways to declare and initialize arrays in C++, including fixed-size, partial initialization, and default values, with guidance for dynamic memory in later sections.

Discover how to access elements in a one-dimensional array using zero-based indexing, pointer arithmetic, and a for loop that iterates over the array.

Compare static and dynamic arrays, showing static declarations on the stack and dynamic allocations on the heap, and explain memory layout from code to stack frames.

Explore static versus dynamic arrays in C++ by implementing and displaying memory allocations, and understand how static and dynamic memory handling differ in practice.

Increase the size of a fixed-size array by expanding memory in the heap, copying existing elements, and updating pointers, a common interview topic.

Learn how to declare and access elements in a two-dimensional array in C++, including static and dynamic declarations, and visualize memory layout with rows and columns.

Explore 2D arrays in C++, including static and dynamic declarations, and learn to input and display matrices with nested for loops across rows and columns.

Explore abstract data types (adt) by focusing on functionality over internal implementation, and learn about declaration, size, and limit, plus static versus dynamic declaration practices.

Develop a modified array ADT by defining a structure, allocating dynamic memory for a user-defined size, populating and displaying elements with a loop, and analyzing the display operation's time complexity.

Learn how to append elements to the back and insert at a specific position by shifting existing elements, and analyze best and worst-case time complexities of these operations.

Explore how to implement append and insert operations for an array, validate capacity and index, shift elements to make room, and update the length accordingly.

Delete an element at a given index, shift the remaining elements to fill the gap, and update the length, while discussing the time complexity.

Learn to implement a delete function by validating the target index is within bounds, removing the element at that index, shifting subsequent elements left, and updating the size.

Compare linear search and binary search, showing linear search traverses each element until a match is found, while binary search uses low, high, and mid on a sorted array.

The lecture demonstrates implementing linear search and binary search in C++, using boolean results and status flags, and explains how low, high, and mid guide the search in sorted data.

Explore get, set, max, min, and avg operations on arrays: retrieve, replace, and compare elements, find the maximum and minimum, and compute the average.

Explore max(), min(), set(), get() and avg() operations on arrays, including finding min and max elements, computing the average, and safely getting or setting values at valid indices.

Explore reversing elements with two approaches—using extra space and in-place swapping—then cover left shift, right shift, and circular left shift, with complexity notes.

Learn to implement reverse and shift operations in C++, including two methods of reversing an array with loops and swaps, and exploring left shift and right shift logic.

Learn to merge two arrays with three pointers, ensuring sorted input, comparing elements, storing the smaller value, and appending remaining elements until both arrays finish.

Learn to merge two arrays into a single, sorted array using a three-pointer approach and a while loop in C++, including handling remaining elements to ensure a fully sorted result.

Explore linked lists, their nodes with data and a next pointer, and how the first pointer stores the starting node address within memory, enabling dynamic size.

Learn to create a node in a linked list with a C++ struct and the new keyword. See how the next pointer stores the address of the next node.

Learn how to create a linked list in C++, defining a node and start and last pointers, and how to append elements and display the list.

Learn to traverse a linked list to compute the sum of node values and count the nodes using a simple loop, starting from the head and moving through next pointers.

Implement sum and count operations on a linked list in C++, using a traversal function to accumulate sums, count elements, and display results.

Master inserting a node into a linked list at a given position, including at the start, by traversing to the insertion point and updating next pointers.

This lecture explains how to insert a node into a linked list at the start or at a specified index, using a new node and updating pointers.

Learn how to delete nodes in a linked list by location or from the start, using two pointers, updating links, and freeing memory to avoid leaks.

Learn how to delete a node at a given index in a linked list using two pointers, updating head and links, with beginning, middle, and end cases for interview prep.

learn how to reverse a linked list in C++, implement a reverse function using three pointers, and review an array-based method introduced earlier.

Doubly linked lists use nodes with both next and previous pointers. It enables backward traversal and uses a last pointer for end access, unlike singly linked lists.

Learn how to insert a node in a doubly linked list using two pointers (start and last), handling start and location insertions, and updating next and previous links.

Learn how to insert a node into a doubly linked list by creating a node, setting data and pointers, and handling beginning and middle insertions.

Learn how to delete a node in a doubly linked list by adjusting previous and next pointers, handling start, middle, and last positions, and freeing memory to avoid leaks.

Learn how to delete a node from a doubly linked list in C++, handling the start and other indices, updating next and previous pointers, and preventing memory leaks.

Reverse a doubly linked list in C++ using two pointers by leveraging next and previous links, enabling display from the back and forward.

Explore the stack data structure, its last in, first out behavior, and core operations like push, pop, top, and empty checks, with implementation options using linked lists or arrays.

Apply array-based stack design by defining the structure, setting size and top index, and implementing push and pop operations with isEmpty and peek for the top element.

Explore stack implementation using an array in C++: allocate memory, initialize top to -1, and implement push, pop, and display with overflow and underflow checks.

Learn to implement a stack with a linked list, create nodes, manage a top pointer, and perform push, pop, and display operations.

Implement a stack using a linked list in C++, covering node definition, push and pop operations, display, underflow, memory leaks, and memory management, with examples.

Explore how a queue implements first in, first out with enqueue at the back and dequeue from the front, using linked lists, and its use in BFS and DFS.

Learn to implement a queue using an array, with front and rear pointers, handle enqueue and dequeue operations, perform empty checks, and display the queue.

Explore queue implementation using an array in c++, including initializing the size, front and rear pointers, performing insertion and deletion operations, and displaying the queue contents.

Develop a queue using a linked list in C++, implementing enqueue at the back, dequeue from the front, node creation, and display to visualize the queue structure.

Learn to implement a queue using a linked list in C++, define the queue structure, create nodes, perform enqueue and dequeue, and display the full queue with memory management.

Explore trees as non-linear data structures, defining root, internal and leaf nodes, siblings, and degree, then analyze levels, height, and forests for common interview questions on binary search trees.

Explore binary trees by defining nodes with left and right pointers, identifying leaf and non-leaf nodes, and recognizing representations and applications in search and recommendations.

Explore the binary search tree concept, learn to insert elements by comparing to the root, placing smaller values on the left and larger on the right, and understand traversals.

Master searching in a binary search tree using recursion. Compare the key with the current node, then move left or right until you find the element or hit null.

Learn how to insert elements into a binary search tree by creating a node, establishing the root, and placing new values to the left or right based on comparisons.

Learn to insert elements into a binary search tree in C++, including node creation and updating left or right links. Master in-order traversal to verify the structure.

Master data structures course covers tree traversals on binary trees, teaching preorder, inorder, and postorder with root-left-right patterns and practical examples.

Explore tree traversal using preorder, inorder, and postorder with recursive approaches in C++. Print node data, traverse left then right, and learn interview-ready coding patterns for trees.

Learn to compute the height of a binary search tree with a recursive function, using a base case for null nodes and combining left and right subtree heights with one.

Delete a node from a binary search tree by searching, adjusting pointers, and freeing memory; replacement uses in-order predecessor or successor based on subtree heights.

Delete a node from a binary search tree by recursively locating and deleting the target, handling leaf, one-child, and two-child cases, and replacing with in-order successor or predecessor.

Master graphs as a nonlinear data structure, exploring undirected and directed graphs, self-loops, parallel edges, and vertex-edge representations, and their role in problem solving and data analytics.

Learn graph representation with adjacency matrices and adjacency lists, illustrated by a four-vertex example, and note the matrix form's space complexity of O(V^2) and usage considerations.

Explore how breadth first search traverses a graph by visiting nodes in level order, using an adjacency list and a queue to track visited nodes.

Learn to implement breadth-first search in C++ using a queue, track visited nodes, and perform a level-order traversal from the start node on a graph.

Master depth-first search on graphs using a stack-based approach, exploring nodes, pushing unvisited neighbors, and backtracking by popping. The session covers visited tracking and output behavior across different traversals.

Learn to implement depth-first search in C++ by coding the DFS function, using a visited array, and recursively traversing a graph from a starting node to reveal depth-first traversal order.

learn to tackle common interview questions by building algorithms with data structures, mastering problem-solving approaches, and sustaining consistency to land dream jobs at top tech companies.