Data Structure


Huffman coding is a lossless data compression algorithm and derives this table based on the estimated frequency of occurrence for each possible value of the source symbol.

Heap sort is a comparison-based sorting algorithm. It divides the input into a sorted and an unsorted region. It iteratively shrinks the unsorted region by extracting the largest element and moving that to the sorted region.

A priority queue is a data structure with each element associated with priority information. The high priority served before an element with low priority.

A priority queue is a data structure and each element has a priority associated with it. The high priority served before with low priority. The priority queue key will be unique. The priority queue can be implemented using Unordered linked list, ordered linked list, Ordered array, and balanced Binary search tree.

B-tree is a tree data structure that keeps data sorted and support search, sequential access, insertions, and deletions in logarithmic time. If the data is not able to store in main memory, it store in the secondary memory.

The red-black tree is a binary search tree with color information. The color can be either red or black and it helps to balance the tree. The red-black tree has a complex implementation. The red-black binary search tree is an efficient data structure for maintaining the balanced binary search.

Edit distance is a way of quantifying how dissimilar two strings are to one another by counting the minimum number of operations required to transform one string into the other.