Algorithms & Data Structures 07.05.2023

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The video explains how to efficiently search for multiple words in a given text using a Bor data structure. The Bor is constructed using a given list of words, with each node representing a prefix or complete word. To optimize the search process, suffix links are used to connect nodes with common suffixes, reducing the number of comparisons needed. The algorithm involves traversing the Bor while checking for matches with the text at each node. The size of the answer depends on the number of words in the dictionary and the length of the text. The function for traversing the nodes involves checking for matches with the text at each node and using suffix links to connect nodes with common suffixes. The resulting Bor can be used to efficiently search for multiple words in a given text by checking for matches at each node and using suffix links to reduce the number of comparisons needed. The final output includes all the words in the dictionary that match the text at each node.

The video also briefly discusses the use of a buffer in Linux and the importance of manually refining the algorithm to ensure understanding. Additionally, T2 discusses an algorithm called Ahu-Korasik that could be applied to a list of words to create transitions for each index. The algorithm involves dynamic programming and considers the possibility of rearranging letters to create new words. The resulting vectors for each word can be added together to create a vector for the text, which can be used to find the most words possible. However, this algorithm is difficult to solve algorithmically and is often solved through memory and trial and error.