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## Data structure

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A hash array based trie is an implementation of an associative array that combines the characteristics of a hash table and an array mapped trie. Write program to implement the hash map based trie

The ternary search tree is a trie. Each node arranged similarly to a binary search tree. It supports up to three children rather than the two children (binary trees limit of two).

Longest prefix match refers to an algorithm used by routers in Internet Protocol (IP) networking to select an entry from forwarding table.

Trie or prefix tree is an ordered tree data structure that allows strings with similar chars to prefix to use the same prefix data and only the remaining stored in separate data. A trie is data structure uses for storing the strings in which there is one node for every common prefix. Trie word comes from retrieval.

A word ladder puzzle begins with two words and to solve the puzzle one must find a chain of other words to link the two, in which two adjacent words differ by one letter.

The set is a data structure that can store values without any order and do not contain duplicate elements. The set is a computer implementation of a finite set. It contains finite natural number of elements. The subset is a set build from master set and has few elements. Example, Set S={1, 2, 3, 4, 5}, Subset = { {1, 2, 3}, {2, 3}, {1}}. The set can be implemented using linked lists, vectors and hash tables.

Dijkstra’s algorithm is an algorithm for finding the shortest paths between nodes in a graph.

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.