between-limit search

简明释义

1. 限间检索; 2. 限间搜索;

英英释义

A between-limit search is a method used to find values or items that fall within a specified range or limits, typically applied in data retrieval or optimization problems.

区间限制搜索是一种用于查找落在指定范围或限制内的值或项目的方法,通常应用于数据检索或优化问题。

例句

1.The financial model incorporates a between-limit search to evaluate investment options within a certain risk range.

该金融模型结合了区间限制搜索来评估在特定风险范围内的投资选项。

2.In our data analysis, we conducted a between-limit search to identify trends within specified parameters.

在我们的数据分析中,我们进行了区间限制搜索以识别指定参数内的趋势。

3.The software uses a between-limit search algorithm to filter results based on user-defined limits.

该软件使用区间限制搜索算法根据用户定义的限制过滤结果。

4.To enhance accuracy, the team performed a between-limit search on the dataset before drawing any conclusions.

为了提高准确性,团队在得出任何结论之前对数据集进行了区间限制搜索

5.During the experiment, we applied a between-limit search to find the optimal conditions for the reaction.

在实验过程中,我们应用了区间限制搜索来寻找反应的最佳条件。

作文

In the realm of computer science and artificial intelligence, various algorithms are employed to solve complex problems efficiently. One such algorithm is the between-limit search, which serves a crucial role in optimizing search processes within defined parameters. The essence of between-limit search lies in its ability to narrow down potential solutions to a specific range, thereby enhancing the effectiveness of the search. This method can be particularly useful in scenarios where the solution space is vast and unbounded, making it difficult to find satisfactory answers without some form of constraint.To better understand the concept of between-limit search, let’s consider an example in the context of resource allocation. Imagine a company that needs to allocate its budget across various departments. Each department has a minimum and maximum budget requirement, and the company wants to ensure that all departments receive funding within these limits. Here, the between-limit search algorithm can be applied to identify the optimal distribution of funds while adhering to each department's constraints.The first step in implementing a between-limit search is to define the limits for each variable involved in the problem. In our budget allocation example, the limits would be the minimum and maximum amounts that each department can receive. Once these limits are established, the algorithm can systematically explore the feasible combinations of budgets that fall within these ranges.Moreover, the between-limit search can utilize various techniques to optimize the search process. For instance, it may employ heuristics to prioritize certain combinations that are more likely to yield favorable outcomes. By doing so, the algorithm can significantly reduce the time required to arrive at a solution, making it not only efficient but also practical for real-world applications.Another area where between-limit search proves beneficial is in decision-making processes. In situations where choices must be made within certain boundaries, this search strategy allows decision-makers to evaluate options effectively. For example, in financial investments, investors often have specific thresholds for risk tolerance and expected returns. Using a between-limit search, they can analyze potential investment opportunities that align with their predefined criteria, thus facilitating informed decision-making.In conclusion, the between-limit search is a powerful tool that enhances the efficiency of searching for solutions within specified limits. Its application spans various fields, from resource allocation to decision-making, showcasing its versatility. As technology continues to evolve, the importance of algorithms like between-limit search will only grow, enabling us to tackle increasingly complex challenges with precision and effectiveness. Understanding and mastering this concept can lead to improved problem-solving capabilities in both academic and professional settings.

在计算机科学和人工智能领域,各种算法被用来有效地解决复杂问题。其中一个算法是between-limit search,它在优化定义参数内的搜索过程中发挥着至关重要的作用。between-limit search的本质在于其能够将潜在解决方案缩小到特定范围,从而提高搜索的有效性。这种方法在解决方案空间广阔且无界的情况下尤为有用,因为在没有某种形式的约束的情况下,很难找到令人满意的答案。为了更好地理解between-limit search的概念,让我们考虑一个资源分配的例子。想象一下,一个公司需要在各个部门之间分配预算。每个部门都有最低和最高的预算要求,公司希望确保所有部门都在这些限制内获得资金。在这里,可以应用between-limit search算法来确定在遵循每个部门约束的同时,资金的最佳分配。实施between-limit search的第一步是为问题中涉及的每个变量定义限制。在我们的预算分配示例中,限制将是每个部门可以获得的最低和最高金额。一旦这些限制建立,算法就可以系统地探索落在这些范围内的可行预算组合。此外,between-limit search可以利用各种技术来优化搜索过程。例如,它可能会采用启发式方法来优先考虑某些组合,这些组合更有可能产生良好的结果。通过这样做,算法可以显著减少到达解决方案所需的时间,使其不仅高效,而且在现实应用中实用。between-limit search在决策过程中也证明了其益处。在必须在某些边界内做出选择的情况下,这种搜索策略使决策者能够有效地评估选项。例如,在金融投资中,投资者通常对风险承受能力和预期回报有特定的阈值。使用between-limit search,他们可以分析与其预定义标准一致的潜在投资机会,从而促进明智的决策。总之,between-limit search是一种强大的工具,可提高在指定限制内搜索解决方案的效率。它的应用跨越多个领域,从资源分配到决策制定,展示了其多功能性。随着技术的不断发展,像between-limit search这样的算法的重要性只会增加,使我们能够以精确和有效的方式应对日益复杂的挑战。理解和掌握这一概念可以提高我们在学术和专业环境中的问题解决能力。

相关单词

search

search详解:怎么读、什么意思、用法