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- Find the optimal value for the p decision parameter of Bresenham's circle drawing technique. Bresenham's circle-drawing algorithm is laid out in a methodical manner?Calculate the optimal value of the decision parameter p in the Bresenham's circle drawing algorithm. The stepwise procedure for implementing Bresenham's algorithm for circle drawing is delineated.Decision theory develops methods to make optimal decisions in the presence of uncertainty. A) True B) False
- Exact median complexity selection problem (1, 3). What is the height of your tree? 1A. Write down an optimal decision tree for the medianTrue or false: In the SVM quadratic optimization, increasing the magnitude of the weight vector serves to maximize the margin of the decision boundary.The Optimal solution is : * a path from the initial state to a state satisfying the goal test This process of looking for the best sequence is called the solution with lowest path cost among all solutions none
- Suppose X and Y are decision problems for which X≤PY, i.e., X is polynomial-time reducible to Y . If X is NP-complete and Y is in NP, explain why Y must also be NP-complete.There are four possible ways to cross the river for a person. Let the first location is denoted by L1, second one is by L2, third one is by L3, and fourth one is by L4 arranged from north to south. A tiger can wait at one of the specified 4 locations. If the location chosen is same by both person and the tiger, then the payoff to the tiger is 1. If both person and tiger chosen adjacent locations the payoff to the tiger is 0.5. If both chosen location are distinct and non – adjacent then the payoffs were 0. In the present scenario, what is the value of the game to the tiger?Analyze the worst case, the best case and average cese scenarios while executing the following algorithm using appropriate examples: Divide and conquer
- 8. A school is creating class schedules for its students. The students submit their requested courses and then a program will be designed to find the optimal schedule for all students. The school has determined that finding the absolute best schedule cannot be solved in a reasonable time. Instead they have decided to use a simpler algorithm that produces a good but non-optimal schedule in a more reasonable amount of time. Which principle does this decision best demonstrate? A. Unreasonable algorithms may sometimes also be undecidable B. Heuristics can be used to solve some problems for which no reasonable algorithm exists C. Two algorithms that solve the same problem must also have the same efficiency D. Approximate solutions are often identical to optimal solutions 0000Bresenham line drawing algorithm:For Slope |m|>1:Either value of y is increasedOR both x and y is increased using decision parameter.Maximum weight = 20The above problem is a 0/1 Knapsack problem. Here there are 7 different objects labelled from A to G. The objective of this problem is to carry the different objects in your bag in such a way such that the profit is maximized. But you have to make sure that your bag does not exceed the maximum weight i.e. the maximum weight that this bag can carry is less than or equal to 15. Remember you can carry an object exactly once. Now it is your job to use Genetic Algorithm to solve this problem. 1. Encode the problem and create an initial population of 4 different chromosomes 2. Think of an appropriate fitness function to this problem and give proper justification. 3. Use the fitness function to calculate the fitness level of all the chromosomes in your population 4. Perform natural selection and select the two fittest chromosomes 5. Use the parents from (4) and perform crossover to get 2 offspring 6. Perform mutation and check the fitness of the final offspring. Comment…