Use the Midpoint Line Algorithm to draw the last two digits with which your Id ends. Design the Algorithms necessary for the zones that are required to draw the last two digits of your Id. Example Goolv
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- The problem of finding one string within another comes up quite often. Searching through files on disk, DNA searches, and even Google rely on strategies for efficiently searching through text using mostly algorithms. The brute-force algorithm is very straightforward and quite widely used which actually performs pretty well in most cases.Using the brute-force search algorithm, look for the patterns in their text and also determine how far you need to search by calculating for the pattern shift.PatternsText(i)thingEverything(ii)babaaababaaLet's consider a long, quiet country road with houses scattered very sparsely along it. (Picture the road as a long line segment with an eastern endpoint and a western endpoint.) Further let’s suppose that despite the bucolic setting, the residents of all these houses are avid cell phone users. You want to place cell phone base stations at certain points along the road, so that every house is within four miles of one of the base stations. Give an efficient algorithm that achieves this goal using as few base stations as possible. Prove its correctness and explain its time complexity.Suppose you have a knapsack that can carry up to 17 pounds. You can only put certain items, and each item has a weight and a value. You want to put the items that will give you the highest possible value, but you can only carry up to 15 pounds. Here are the items you can put and their weights and values: I Weight value Value/Weight 1 2 10 5 2 4 30 7.5 3 6 50 8.33 4 9 70 7.78 5 10 80 8 Table 1: Caption Your task is to solve the Knapsack Problem using a greedy approach.Hints:- Sort the items by their value-to-weight ratio in descending order. Start with the item with the highest value-to-weight ratio and add it to the knapsack. - Continue adding items to the knapsack in descending order of their value-to-weight ratio until the knapsack is full or there are no more items left. - Your solution should output the total value of the items in the knapsack and the list of items that you have put. -This…
- Using Microsoft Excel, create a spreadsheet to simulate a finite element analysis of heat transfer in a sheet of metal which is heated to soldering temperature at one corner. Assume that the temperature of any single cell is equal to the average of the temperatures of the four cells which share a side with it. Create a 10 by 10 cell finite element model with the temperature of the top edge (all 10 cells) is held to 20 degrees C, and the temperature along the right side is also held to 20 degrees. Make the lower left corner "hot" -- you can pick a value similar to a that of a soldering iron (look up temperatures of soldering iron tips). You can then add values long the bottom going from high down to 20 degrees, decreasing from left to right -- choose any starting rate you like. You can do the same for the left side, going from 20 degrees at the top and going up to the high temperature you have assigned in the lower left corner. Once you have made sure your spread sheet model…Ahmad wanted an algorithm to list her favourite games. He wanted to be able to enter a favourite game to be added to the list. He did not want duplicated on the final list but did want to be told, having entered proposed game, either that it was a duplicate or that had been added to the list. Or he can enter the list of favourites and then the algorithm will delete the duplicated one ⦁ Build your algorithm by OUBUILD and then provide screenshots showing that he has entered games twice and not added to the list. Ahmad will keep add his favourite game until he press -1 to exit from the loop can i get an answer that would be easy to copy on oubuild pleaseWhat is the benifits of Recyling pet as an alternative for 3d printing in the environment Give at least 3 sentence .
- Let’s consider a long, quiet country road with houses scattered very sparsely along it. (We can picture the road as a long line segment, with an eastern endpoint and a western endpoint.) Further, let’s suppose that despite the bucolic setting, the residents of all these houses are avid cell phone users. You want to place cell phone base stations at certain points along the road, so that every house is within four miles of one of the base stations. Give an efficient algorithm that achieves this goal, using as few base stations as possible. Give the psudo code.Suppose now that the software either automatically assigns a 0 or a 1 to the first character or one of the letters X, Y , or Z to the last character. If the campaign no longer cares about easily linking codes to party affiliation or votes for their candidate, can enough codes be generated for the potential survey respondents? Explain why this system is impractical for generating an appropriate amount of unique codes.Would you mind helping me with this question? I'm having difficulty grasping how to tackle it and come up with a solution. Could you break it down into steps and lead me through the process, so I can understand the approach you used to solve it? Also, I understand that the answer to this question involves arranging dominos as illustrated in the problem. Could you please provide a visual representation of how you arranged the dominos? For reference I added a picture of what the dominos should like as an example to solve this problem.
- You are given the data set at https://www.kaggle.com/datasets/whenamancodes/alcohol-effects-on-studyLinks to an external site. Your goal is to classify the value of G3 for the math course. The value is numerical, but treat each value like a discrete categorical value. What learning algorithm would you use and why? Do you need to do anything with the data before feeding it to the learning algorithm?Suppose we have a group of proposed talks with preset start and end times. Students of CSE340 were asked to design an algorithm to schedule as many of these talks as possible in a lecture hall, under the assumptions that once a talk starts, it continues until it ends, no two talks can proceed at the same time, and a talk can begin at the same time another one ends. Assume that talk j begins at time sj (where s stands for start) and ends at time ej (where e stands for end). One student proposed the algorithm shown in Algorithm 1 on the next page, which simply adds talks in order of earliest start time (smallest sj ). (a) Prove, using a counter example, that the proposed algorithm does not always produce an optimal schedule (i.e., a schedule with most possible talks). (b) Another student proposed adding talks in order of shortest duration (ej - sj ). Prove, using a counter example, that even with this new criteria, the algorithm does not always produce an optimal schedule.What does the pseudocode for this algorithm in the image attached mean in plain English? (Algorithm 2 — the image attached came from a Computer Science whitepaper with keywords: [Exact] Dynamic Programming, Optimal Decision Trees, Reinforcement Learning, Artificial Intelligence, Interpretability). Please explain with either Python Java code if possible (or any programming language). Also, where can I find a reference that explains all the notation used in this pseudocode found in the image? I see this type of notation frequently but can’t find a key or a reference that explains what type of symbols these all are (except for a few of them which I know to be math symbols). Much of this notation I can’t find a reference to explain what it means anywhere, please advise and thanks in advance.