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- Design an adjacency Matrix of the alphabets of your full name. In accordance with the following conditions: Let my name is Muhammad Adnan If your name has repeated characters (e.g. character E, 2 times) then you will consider only 1 time. If your Name contains both G and S, then there will be an edge between them and one additional edge from W to each if W is also in your name. If N is the alphabet in your name, it will have an edge to A and S if it available in your name. If P is available then it will have an edge with L if it is available. If there is a blank space in full Name then it will be represented by “_”, and it must have an edge with all alphabets. (Note: Place on in 1 for Edge and 0 for No Edge) Sketch an undirected graph of the above designed adjacency matrix.Adding nodes to or removing nodes from a linked chain requires a special case when the operation is at the beginning of the chain. To eliminate the special case, you can add a dummy node at the beginning of the chain. The dummy node (In a chain of linked nodes, a first node that is not used for data but is always present. The first data value is actually in the second node.) is always present but does not contain a list entry. The chain, then, is never empty, and so the head reference is never null, even when the list is empty. Modify the class LList, as presented in this chapter, by adding a dummy node to the chain. Java programDesign an adjacency Matrix of the alphabets of my name (Isha Tir Razia). In accordance with the following conditions: If name has repeated characters (e.g. character E, 2 times) then you will consider only 1 time. If Name contains both G and S, then there will be an edge between them and one additional edge from W to each if W is also in your name. If N is the alphabet in your name, it will have an edge to A and S if it available in your name. If P is available then it will have an edge with L if it is available. If there is a blank space in full Name then it will be represented by “_”, and it must have an edge with all alphabets. (Note: Place on in 1 for Edge and 0 for No Edge) Sketch an undirected graph of the above designed adjacency matrix.
- Consider a list of data components L[0:5] = 23, 14, 98, 45, 67, and 53. Let's look for the K = 53 key. Naturally, the search moves down the list, comparing key K with each element until it discovers it as the final element in the list. When looking for the key K = 110, the search moves forward but eventually drops off the list, making it a failed search. Write the algorithmic steps for both sorted and unordered linear searches, along with the times involved.Consider a situation of a boarding gate of a plane where passengers are allowed to board on the place based on their age. All passengers are on a line (queue) to board on the place, however, the oldest one is always allowed to board first no matter when he/she got in the line (queue). In this case, you cannot sort the passengers by their age, however, you know that oldest ones are always at the top of the line. This is an example of a priority queue where data will be accessed and processed based on their level of priority. Suppose you need to organize such type of data so that the data in highest priority can be accessed in a constant time, O(1). What type of data structure would you use in such cases? Justify your answer.A useful operation in databases is the naturalj oin.If we view a database as a list of ordered pairs of objects, then the natural join of databases A and B is the list of all ordered triples (x,y,z) such that the pair (x,y) is in A and the pair (y,z) is in B. Describe and analyze an efficient algorithm for computing the natural join of a list A of n pairs and a list B of m pairs. Data Structures & Algorithms C-7.55
- Please help me interpret this.Suppose we have a document of D distinct words and we want to return the N most frequently occuring words in the document. Assume N is much less than D. Describe the fastest algorithm (clearly list each step of the algorithm) to solve this problem, starting with a hash table in which to store the frequencies. You may use additional structures, as long as they are one of the structures covered in class. Make sure to specify what is the key and what is the value for all structures used. Against each step of your algorithm, write down the big 0 running time with an explanation of how you got it, and specify whether this running time is expected time or worst case time. You can use known-from-class structures you use, **but you still have to write what the actual running time is**A transaction database is a set of transactions completed in a supermarket database. Each transaction is a set of items. For example, consider the following transaction database. It contains 5 transactions (t1, t2, ..., t5) and 5 items (1,2, 3, 4, 5). For example, the first transaction represents the set of items 1, 3 and 4. It is important to note that an item is not allowed to appear twice in the same transaction and that items are assumed to be sorted by lexicographical order in a transaction. Transaction id Items t1 {1, 3, 4} t2 {2, 3, 5} t3 {1, 2, 3, 5} t4 {2, 5} t5 {1, 2, 3, 5} What is the output of the Apriori algorithm run on the previous transaction database with a minimum support of 40 % (2 out of 5 transactions)?
- Given a scenario where you need to efficiently insert elements at the beginning of a list, which type of linked list would be most suitable? Explain why.A hash table is a very important data structure in computer science. It is used for fast information retrieval. Itstores data as a < key, value > pair, where the value is indexed by the key. Note that keys must ne unique.Consider the example of storing persons name using the social security number (ssn) as the key. For eachssn x, a hash function h is used, where h(x) is the location to store the name of x. Once we have created atable, to look up the name for ssn x, we can recomputes h(x) and then look up what is stored in that location.In Python, dictionaries are based on hash tables. Typically, the hash function h is deterministic; we do notwant to get different results every time we compute h(x). But h is often chosen to be pseudo-random. Forthis problem, we will assume that h is truly random. Suppose there are k people, with each person’s namestored in a random location (independently), represented by an integer between 1 and n, k < n. It mayhappen that one location has…Consider a software that creates and manipulates a linked list: What are the two particular nodes that the software would usually keep track of? Explain two popular applications for the null reference in the linked list node.
