Graph Search Algorithms Overview
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Graph Search Algorithms Overview

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@LeadingSaxophone

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Questions and Answers

Which of the following is true regarding uninformed search strategies?

  • They are always optimal in terms of cost.
  • They utilize specific heuristics to enhance performance.
  • They always guarantee a solution will be found.
  • They can be implemented in a variety of ways with different trade-offs. (correct)

    • What is one significant disadvantage of Depth First Search (DFS)?

  • It may get stuck in cycles if they exist. (correct)
  • It is guaranteed to find an optimal solution.
  • It cannot handle weighted graphs effectively.
  • It can efficiently find the shortest path.

    • Which of the following factors is NOT a consideration for evaluating search strategies?

  • Completeness
  • Scalability (correct)
  • Optimality
  • Complexity

    • In the context of search algorithms, what does the term 'optimality' refer to?

    <p>The minimal cost or low cost of the solution found.</p> Signup and view all the answers

    What does the term 'space complexity' measure in search algorithms?

    <p>The maximum size of the fringe during the search.</p> Signup and view all the answers

    What characteristic of Depth First Search makes it less desirable in certain situations?

    <p>It can explore paths too deeply without finding a solution.</p> Signup and view all the answers

    Which statement about uninformed search strategies is incorrect?

    <p>They are always more efficient than informed search strategies.</p> Signup and view all the answers

    Which searching strategy is categorized as a general-purpose search algorithm operating with brute force?

    <p>Uniformed Search</p> Signup and view all the answers

    Study Notes

    Introduction

    • Solving a problem can be thought of as finding a sequence of actions that lead to a desired state.
    • This can be represented as a graph, where nodes represent states and edges represent actions.
    • Finding a solution is equivalent to searching for a path in this graph.

    Evaluating Search Strategies

    • Completeness: Whether a search strategy guarantees finding a solution if one exists.
    • Optimality: Whether the solution found has the lowest cost or the minimal cost.
    • Complexity: The search cost, expressed in terms of time (number of nodes expanded) and memory (maximum size of the fringe) required to find a solution.
    • Uninformed search, also called blind search or naive search, is a class of general purpose search algorithms that operate in a brute force manner.
    • Depth First Search (DFS) is complete if the graph contains no cycles.
    • DFS is not complete if the graph contains cycles. If a cycle exists, DFS may get stuck in the cycle.
    • To address this, visited nodes can be checked.
    • DFS is not optimal. It may get stuck in a path that leads to a deep, but not optimal, solution.

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    Related Documents

    Chapter 4 - Searching the Knowledge Space I (1).pptx

    Description

    This quiz explores various graph search algorithms, including uninformed search methods like Depth First Search (DFS). It evaluates search strategies based on completeness, optimality, and complexity. Test your knowledge on how these concepts apply to finding solutions in graph structures.

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