Answered: implement Bresenham line drawing…

implement Bresenham line drawing algorithm: For Slope |m|<1: Either value of x is increased OR both x and y is increased using decision parameter.

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Direction: Choose from a peer-to-peer or client-server network. In each case you must provide an argument to support your choice. ______________a.Four friends get together to host a LAN party at one of their houses.______________b.A school that has two computer labs used for both CAT and IT and where the educators and administrative staff all use the same network.______________c.The local dentist office where there is one computer in reception and one in each of the two dentists’ offices.______________d.A temporary network that is being set up to run a large craft market for a week. There will be eight different computers set up in the management office to run the inventory and sales.
This assignment uses several heuristic search techniques to find possibly optimal truth assignments for variables in the given Boolean formulas (see the bottom of the assignment). The formulas are in conjunctive normal form (ANDs of ORs). The fitness of an assignment is the number of clauses (ORs) that the assignment satisfies. If there are c clauses, then the highest fitness is bounded by c. However, if the formula is not satisfiable, then you cannot simultaneously make all c clauses true. You will use three of the following seven techniques: DPLL Resolution Genetic algorithms Local search Simulated annealing GSAT WalkSAT You must choose at least one complete algorithm to implement - DPLL or Resolution.
Check this code and make a code to plot the curve def maxProfitBrute(arr): # O(n^2) arr_len = len(arr) profit = -1 for i in range(arr_len-1): for j in range(i+1, arr_len): diff = arr[j]-arr[i] if (profit <= diff): profit = diff start = i end = j return start, end, arr[end]-arr[start] def maxProfit(prices): # O(n) arr = prices if len(arr) < 2: return 0 elif len(arr) == 2: return arr[1]-arr[0] if arr[1] > arr[0] else 0 mini = arr[0] profit = arr[1]-arr[0] for idx, item in enumerate(arr): mini = min(mini, item) profit = max(profit, item-mini) return profit arr = [5, 5] profit = maxProfit(arr) print(f'\nProfit = {profit}')
Write a program to find the solution to Maxone problem (You want to maximize the number of ones) using agenetic algorithm where the population size is 2000 and each chromosome is 20 genes long. Use a mutationprobability of 0.02 and a cross-over probability of 0.5. Make separate functions for different components of thegenetic algorithm.
Write Algorithm for Round robin tournament including a scoring for the match results.Round-Robin-Tournament(P)in: sequence P of n players (1 ≤ n)out: sequence R of n players with attribute score(i)constant: score points for a winner w, for a loser , for a tie tlocal: number of rounds t
Calculate the decision parameter of Bresenham's circle drawing method, p. The algorithm for drawing circles by Bresenham is given in stages.
You are given a 2 by n grid, where the cell on row i column j contains a non-negative number ai,j . You can start at either cell in the lefttmost column, and your goal is to reach either cell in the rightmost column by a sequence of moves. You can move to an adjacent cell (if it exists) in each of the 4 cardinal directions (up,down, left and right). A path achieves a score equal to the sum of values in its cells. Note that a cell which is used twice in a path only counts its value once to the score of that path.Design an algorithm which runs in O(n) time and finds a path of minimum score from the leftmost column to the rightmost column.
Appendix A 10-Fold Cross Validation for Parameter Selection Cross Validation is the standard method for evaluation in empirical machine learning. It can also be used for parameter selection if we make sure to use the training set only. To select parameter A of algorithm A(X) over an enumerated range d E [A1,..., A] using dataset D, we do the following: 1. Split the data D into 10 disjoint folds. 2. For each value of A e (A1,..., Ar]: (a) For i = 1 to 10 Train A(A) on all folds but ith fold Test on ith fold and record the error on fold i (b) Compute the average performance of A on the 10 folds. 3. Pick the value of A with the best average performance Now, in the above, D only includes the training data and the parameter A is chosen without the knowledge of the test data. We then re-train on the entire train set D using the chosen A and evaluate the result on the test set.
Algorithm for LLP-GAN training algorithmInput: The training set L = {(Bi, pi)}n i=1; L: number of total iterations; λ: weight parameter.Input: The parameters of the final discriminator D.Set m to the total number of training data points
We can specify the PageRank algorithm's convergence threshold using proc networks. This figure has to be positive. Default value is 1E-9. When the difference between the PageRank scores of the current iteration and the previous iteration is less than or equal to the tolerance set, the PageRank algorithm ceases iterating. We can use the PAGERANKTOLERANCE= parameter to specify the convergence tolerance. Write The example code demonstrates how to calculate PageRank centrality using a proc network built on a directed graph with unweighted links.
In a hypothetical study of population dynamics, scientists have been tracking the number of rabbits and foxes on an island. The number of rabbits and foxes are determined once a year using high resolution infrared cameras and advanced computer vision methods.Each year, the number of rabbits and foxes are found to change by the following equations: $$ {\Delta}R = round( kr*R - krf*R*F ) $$ $$ {\Delta}F = round( -kf*F + kfr*R*F ) $$ where $ {\Delta}r $ and $ {\Delta} f $ are the changes in number of rabbits and foxes by the end of that year; and R and F are the population sizes at the end of the previous year. kr, krf, kf, kfr are coefficients that depend on the species of rabbits and foxes.With these dynamics, the scientists realize that one or both species can become extinct on the island. At the end of each year, if there are fewer than 2 animals of a kind, the scientists transfer rabbits and/or foxes to make sure there are at least 2 of each kind.Write a function…
Using pyhton coding to solve: Suppose the Great Frederick Fair wants to update its ticketing software. They need you to write a program to handle the price calculations, using the rules*: ● The basic price of a ticket is $40. Senior citizens (age >= 65) get a 50% discount. Children under 6 are free (100% discount). For residents of Frederick County, the basic price is $35; the same discounts still apply. So the individual ticket prices range from $0 to $40. ● . Your program should request age and county name from the user. The age will be entered as an integer and the county name as a string. Before calculating the price, confirm that the user's age is valid - not negative and not more than 110. If it is not, give a message and do not do the price calculation. Also, the county name should not be case sensitive - for example, Frederick, frederick, and FREDERICK should all be acceptable. Your program should then calculate and print out the ticket price, using the appropriate…