expanding square search

简明释义

海上)展开方形搜索

英英释义

例句

1.To find the best route, the system applies expanding square search for real-time adjustments.

为了找到最佳路线，该系统应用扩展平方搜索进行实时调整。

2.The algorithm utilizes expanding square search to efficiently locate the nearest points of interest.

该算法利用扩展平方搜索有效地找到最近的兴趣点。

3.The researchers published a paper on the effectiveness of expanding square search in spatial data analysis.

研究人员发表了一篇关于扩展平方搜索在空间数据分析中有效性的论文。

4.During the testing phase, the expanding square search proved to be faster than traditional methods.

在测试阶段，扩展平方搜索证明比传统方法更快。

5.In our navigation app, we implemented expanding square search to enhance location accuracy.

在我们的导航应用中，我们实现了扩展平方搜索以提高位置准确性。

作文

In the realm of computer science and algorithm design, various techniques are employed to optimize search processes. One such method is known as expanding square search. This technique is particularly useful in scenarios where the search space is not well-defined or when the location of the target is unknown. The expanding square search algorithm operates by starting from a central point and systematically expanding outward in a square pattern. This approach allows for a thorough exploration of the surrounding area, making it effective in locating targets that may be scattered or hidden within a larger environment.The fundamental idea behind the expanding square search is to minimize the distance traveled while maximizing the coverage of the search area. By expanding in a square formation, the algorithm can efficiently probe each section of the search space without redundancy. This is particularly advantageous in applications such as robotics, where a robot may need to search for objects in an unknown terrain. The robot can initiate its search from a predetermined starting point and use the expanding square search method to ensure that it explores all possible locations for the object it is seeking.Moreover, the expanding square search can be adapted to various dimensions. While the basic version operates in two dimensions, it can be extended to three-dimensional spaces, making it applicable in fields such as aerial search operations or underwater explorations. In these cases, the algorithm would expand outward in a cubic pattern, ensuring comprehensive coverage of the search volume.One of the key advantages of the expanding square search is its simplicity and ease of implementation. It does not require complex data structures or significant computational resources, which makes it accessible for use in many practical applications. Additionally, the predictable nature of the search pattern allows for easier integration with other systems, such as mapping technologies or real-time tracking systems.However, like any algorithm, the expanding square search does have its limitations. The performance of the algorithm can be affected by the density of obstacles within the search area. In environments with numerous barriers, the algorithm may need to adapt its strategy to navigate around these obstacles effectively. Furthermore, if the target is located at a great distance from the starting point, the time taken to locate it can increase significantly, especially in larger search areas.In conclusion, the expanding square search is a valuable algorithm in the toolkit of computer scientists and engineers. Its ability to systematically explore search spaces makes it an excellent choice for various applications, particularly in robotics and navigation. As technology advances, further enhancements to this algorithm may emerge, potentially increasing its efficiency and effectiveness in more complex environments. Understanding and mastering the expanding square search will undoubtedly benefit those involved in search algorithms and optimization processes, paving the way for innovative solutions to real-world challenges.

在计算机科学和算法设计领域，采用各种技术来优化搜索过程。其中一种方法被称为扩展平方搜索。这种技术在搜索空间不明确或目标位置未知的情况下特别有用。扩展平方搜索算法从中心点开始，系统地向外扩展，形成一个正方形的模式。这种方法可以全面探索周围区域，使其在寻找可能散落或隐藏在更大环境中的目标时有效。扩展平方搜索的基本理念是最小化行进距离，同时最大化搜索区域的覆盖范围。通过以正方形的形式扩展，算法可以高效地探测搜索空间的每个部分，而不会产生冗余。这在机器人等应用中尤其有利，在这些应用中，机器人可能需要在未知地形中搜索物体。机器人可以从预定的起始点开始，并使用扩展平方搜索方法确保探索所寻物体的所有可能位置。此外，扩展平方搜索可以适应不同的维度。虽然基本版本在二维空间中运行，但它可以扩展到三维空间，使其适用于航空搜索操作或水下探测等领域。在这些情况下，算法将以立方体的形式向外扩展，确保全面覆盖搜索体积。扩展平方搜索的一个关键优点是其简单性和易于实施性。它不需要复杂的数据结构或大量的计算资源，这使其在许多实际应用中变得可访问。此外，搜索模式的可预测性使其更容易与其他系统集成，例如制图技术或实时跟踪系统。然而，像任何算法一样，扩展平方搜索也有其局限性。算法的性能可能会受到搜索区域内障碍物密度的影响。在具有众多障碍物的环境中，算法可能需要调整其策略，以有效绕过这些障碍。此外，如果目标位于离起始点很远的地方，找到它所需的时间可能会显著增加，尤其是在较大的搜索区域中。总之，扩展平方搜索是计算机科学家和工程师工具箱中的一种宝贵算法。它系统地探索搜索空间的能力使其成为各种应用的优秀选择，特别是在机器人和导航领域。随着技术的进步，可能会出现对该算法的进一步增强，潜在地提高其在更复杂环境中的效率和有效性。理解和掌握扩展平方搜索无疑将使参与搜索算法和优化过程的人受益，为解决现实世界挑战铺平道路。