In an optimal A* search,a- describe the problem of a heuristic function that overestimates the cost. Howdoes it effect the solution? Give an example.b-is a heuristic method that underestimates the cost admissible? How does it effectthe solution? Give an example

A* maintains a list of options it's considering, ordered by how good they might be. It keeps looking…

Answered: In an optimal A* search, a- describe…

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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Can you help me with this probem and the parts that come along with it because i am confused I only need help with part A and part B. Can you please label the problem and can you do it step by step showing work and can you explain it as well. Question that I need help with:1.49 a. Let B = {1 k y| y ∈ {0, 1} ∗ and y contains at least k 1s, for k ≥ 1}. Show that B is a regular language. b. Let C = {1 k y| y ∈ {0, 1} ∗ and y contains at most k 1s, for k ≥ 1}. Show that C isn’t a regular language.
Let's revisit our first problem, where we want to set up a series of chess matches so we can rank six players in our class. As we did before, we will assume that everyone keeps their chess rating a private secret; however, when two players have a chess match, the person with the higher rating wins 100% of the time. But this time, we are only interested in identifying the BEST of these six players and the WORST of these six players. (We don't care about the relative ordering or ranking of the middle four players.) Your goal is to devise a comparison-based algorithm that is guaranteed to identify the player with the highest rating and the player with the lowest rating. Because you are very strong at Algorithm Design, you know how to do this in the most efficient way. Here are five statements. A. There exists an algorithm to solve this problem using 6 matches, but there does not exist an algorithm using only 5 matches. B. There exists an algorithm to solve this problem using 7 matches,…
A given Knapsack with maximal Weight capacity is 8Kg. There are some items can be chosen and taken into Knapsack. Each item has own weight and profit shown as follows. Please find the maximal profit of Knapsack after some items are selected and put into this Knapsack and its maximal Weight capacity isn't exceeded. item ID Weight 4Kg 5Kg 2Kg 1kg 6Kg A B с D E Profit 4500 5700 2250 1100 8700 The maximal profit of this Knapsack to taken some items and total weight is no exceeded the weight capacity : The last item is taken and put into this Knapsack is: The second item is taken and put into this Knapsack is : The first item is taken and put into this Knapsack is:
Please solve all the three questions!! Send me answer within 10 min!! I will rate you good for sure!!
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Consider the two versions of Quicksort that are based on the following: (i) Median selection algorithm using the linear-time select method; (ii) The randomized pivot selection algorithm Which of the two algorithms has a faster worst-case asymptotic behavior? Which of the two algorithms has a faster average-case performance? Provide empirical evidence of your answer by writing the corresponding programs for each and conducting experimental evaluation. Your experimental results should provide evidence of your answer. For this you need to run an adequate number of experiments on a variety of array/list sizes (use large randomly generated lists of integers).
Backtracking search algorithm is guaranteed to compute the global optimum of the respective objectives. True or False with detail Explanation?
Marco Dorigo developed Ant Colony Optimization (ACO) algorithm and this algorithm is used to solve many case studies. Let's say, you are using ACO to solve Travelling Repairman Problem (TRP). Describe the process on how ACO implemented in TRP case study. State if there are any improvisation you would like to make in ACO to improve the implementation in TRP case study. Following Figure 2 shows the definition of the case study. Also, include which algorithm, PSO or ACO, is better used for solving TRP case study. You may use any illustration/description to describe your solution. Travelling repairman problem (TRP) is a scheduling problem whereby a repairman must visit the scheduled locations to conduct the job needed. Each location has a period/time in which the repairman is allowed to arrive. This is to allow maximum number of repair jobs are successfully performed.
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4. What are the differences between L2 and L1 regularization? For a given linear decision (w,b), calculate the value of the L2 and L1 penalty 5. Describe majorization-minimization and gradient descent 6. Describe the proximal gradient descent method: what is the gradient step? What is the proximal step? For a set Q={x : ||x||<=1} in 2D space, what is the result of ProxQ(y) where a) y=[0.5,0.2]; b) y=[2,0]
What does ?_i represent in the context of maximal margin classifiers. λ_i= y_i ((w^T x_i+b))/(||w||) Choose all that apply. a. Cosine similarity b. Geometric margin c. Distance of x_i from hyperplane d. Class boundary
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.

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In an optimal A* search, a- describe the problem of a heuristic function that overestimates the cost. How does it effect the solution? Give an example. b-is a heuristic method that underestimates the cost admissible? How does it effect the solution? Give an example