Pradeep reddy Pinninti - 85025 1- Depth-first search always expands at least as many nodes as A* search with an admissible heuristic FALSE. Depth-first search may possibly‚ sometimes‚ expand fewer nodes than A* search with an admissible heuristic. E.g.‚ it is logically possible that sometimes‚ by good luck‚ depth-first search may march directly to the goal with no back-tracking. 2- h(n) = 0 is an admissible heuristic for the 8-puzzle TRUE. h(n)=0 NEVER over-estimates the remaining optimal distance
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“The verification principle offers no real challenge to religious belief” Discuss Verification is a philosophical theory about the nature of language and meaning that was popular in the first half of the twentieth century. It maintains that for a statement to be meaningful it has to describe a state of affairs that can be tested or verified‚ i.e. can be shown to be true or false by sense-experience. This is called the verification principle. The verification movement was influenced by science‚ which
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Checkpoint Answers Examining Distributions Checkpoint 2 1. 99.7% of data resides within 3 standard deviations of the mean. 2. Center and spread IQR and standard deviation. IQR = Q-Q1 3. Pie chart. One response variable-categorical. 4. Impossible to tell. Boxplots only show cities and annual income amounts. Does not mention number of responses. 5. Statstown Q1=40‚ Q3 =110 6. Medianville‚ IQR =110-60 7. Statstown‚ IQR = 110-40 Examining Relationships Checkpoint 2 1. Conditional row percentages in a
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Different types of sorting 1. Bubblesort 1. compare 1st and 2nd elements 2. if 1st larger than 2nd‚ swap 3. compare 2nd and 3rd‚ and swap if necessary 4. continue until compare the last two elements 5. the largest element is now the last element in the array. 6. repeat statring from the beginning until no swaps are performed (i.e.‚ the array is sorted) 7. each time you go through the elements bubbling up the largest element 8. no need to try the last i elements for the ith run since the
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References: 1. Positive Psychology‚ by Steve R. Baumgardner and Marie K. Crothers. Published by Prentice Hall. Copyright © 2009 by Pearson Education‚ Inc.
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Week 1 Checkpoint Write a 200- to 300-word response that answers the following: Based on the article by Nott (2008)‚ what are some business uses for inserting a canvas within a Microsoft® Word® document? From these uses‚ propose a strategy that may help users overcome formatting issues. After reading the article by Nott (2008)‚ I have found the information in the article to be highly informational because I have never been through those activities before inside of Microsoft
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– I Analysis of Algorithm: INTRODUCTION – ANALYZING CONTROL STRUCTURES-AVERAGE CASE ANALYSIS-SOLVING RECURRENCES. ALGORITHM Informal Definition: An Algorithm is any well-defined computational procedure that takes some value or set of values as Input and produces a set of values or some value as output. Thus algorithm is a sequence of computational steps that transforms the i/p into the o/p. Formal Definition: An Algorithm is a finite set of
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Algorithm Analysis and Design NP-Completeness Pham Quang Dung Hanoi‚ 2012 Pham Quang Dung () Algorithm Analysis and Design NP-Completeness Hanoi‚ 2012 1 / 31 Outline 1 Easy problems - class P Decision problems vs. Optimization problems Class NP Reductions NP-complete class 2 3 4 5 Pham Quang Dung () Algorithm Analysis and Design NP-Completeness Hanoi‚ 2012 2 / 31 Class P: Problems that are solvable by polynomial-time algorithms (O(nk ) where n
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Design of Algorithms Assignment 3 1. Compute the following sums: a. ∑ Answer: =∑ =u–1+1 = (n + 1) – 3 + 1 =n+1–2 =n-2 b. ∑ Answer: =∑ = [1 + 2] + … + n =∑ + (n + 1) – (1 + 2) =∑ + (n + 1) – 3 =∑ +n –2 = n(n + 1) + (n - 2) 2 = n2 + n + (n - 2) 2 = n2 + 3n – 4 2 c. ∑ Answer: ∑ =∑ =∑ = n (n+1) (2n + 1) + n (n+1) 6 2 = (n - 1) (n -1 + 1) (2 ( n –1) +1) + (n - 1) (n – 1 + 1) 6 2 = (n - 1) (n) (2n – 2 + 1) + (n – 1) (n) 6 2 2 = (n - n) (2n – 1) + (n – 1) (n) 6
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the Mesh Network deliver cluster information to the server. Keywords-Ad Hoc Network; Autonomous Clustering; Android; Mesh Network; Figure 1. New Generation Children Tracking System II. SATISFACTION OF REQUIREMENTS We applied several technologies to the system in order to satisfy the requirements which are described in Section 1. For Requirement (1)‚ we use the Android terminals‚ to which we can install application freely without dependence of manufacturers or carriers. Therefore‚ we are
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