balanced array

简明释义

平衡阵列;

英英释义

例句

1.For effective machine learning, it's crucial to have a balanced array 平衡数组 of training data.

对于有效的机器学习，拥有一个 平衡数组 balanced array 的训练数据至关重要。

2.When testing the software, we used a balanced array 平衡数组 of test cases to cover all scenarios.

在测试软件时，我们使用了一个 平衡数组 balanced array 的测试案例，以覆盖所有场景。

3.To improve performance, the algorithm requires a balanced array 平衡数组 of inputs.

为了提高性能，算法需要一个 平衡数组 balanced array 的输入。

4.In data analysis, a balanced array 平衡数组 ensures that each category is equally represented.

在数据分析中，平衡数组 balanced array 确保每个类别都有相等的代表性。

5.The game design team created a balanced array 平衡数组 of characters to ensure fair play.

游戏设计团队创建了一个 平衡数组 balanced array 的角色，以确保公平竞争。

作文

In the realm of computer science, the concept of a balanced array is pivotal for optimizing data structures and algorithms. A balanced array refers to an arrangement of elements where each value is distributed evenly across the dataset, thereby minimizing the likelihood of skewed data that can adversely affect performance. This principle is particularly important in various applications, such as sorting algorithms, searching techniques, and even in machine learning where data integrity is crucial.To illustrate the significance of a balanced array, consider the case of a binary search tree (BST). A BST is a data structure that allows for efficient searching, insertion, and deletion operations. When the tree is balanced, it ensures that the depth of the tree is minimized, leading to optimal performance. However, if the BST becomes unbalanced, with nodes skewed heavily to one side, the time complexity for these operations can degrade from O(log n) to O(n), which is inefficient for large datasets.Moreover, in the context of sorting algorithms, having a balanced array can significantly enhance the speed of sorting processes. For instance, quicksort performs best when the pivot element consistently divides the array into two roughly equal halves. If the input array is balanced, the algorithm can achieve its average-case time complexity of O(n log n). Conversely, an unbalanced array could lead to worst-case scenarios, increasing the time complexity to O(n^2).The importance of a balanced array extends beyond theoretical applications; it has practical implications in real-world scenarios as well. In data analysis, maintaining a balanced array of data points is essential for accurate statistical modeling. For example, when conducting surveys or experiments, researchers must ensure that their sample sizes are balanced across different demographics to avoid biased results. If one demographic is overrepresented, the conclusions drawn from the data may not accurately reflect the entire population.Furthermore, in machine learning, training algorithms on a balanced array of features can lead to more robust models. Imbalanced datasets can result in models that are biased towards the majority class, which can hinder their predictive performance. By ensuring that the training data is balanced, practitioners can improve the accuracy and reliability of their models, making them more effective in real-world applications.In conclusion, the concept of a balanced array is fundamental in various fields of computer science and data analysis. It serves as a cornerstone for efficient algorithms and accurate data representation. Understanding and implementing the principles of balanced arrays can lead to significant improvements in performance, whether in optimizing data structures or ensuring the integrity of statistical analyses. As technology continues to evolve, the relevance of balanced arrays will undoubtedly remain a critical aspect of effective data management and processing.

在计算机科学领域，平衡数组的概念对于优化数据结构和算法至关重要。平衡数组是指元素的排列方式，其中每个值在数据集中均匀分布，从而最小化数据偏斜的可能性，这种偏斜可能会对性能产生不利影响。这个原则在各种应用中尤其重要，例如排序算法、搜索技术，甚至在机器学习中，数据的完整性至关重要。为了说明平衡数组的重要性，考虑一下二叉搜索树（BST）的例子。BST是一种数据结构，它允许高效的搜索、插入和删除操作。当树是平衡时，确保树的深度最小化，从而导致最佳性能。然而，如果BST变得不平衡，节点严重倾斜到一侧，则这些操作的时间复杂度可能会从O(log n)降级到O(n)，这对于大型数据集来说效率低下。此外，在排序算法的上下文中，拥有一个平衡数组可以显著提高排序过程的速度。例如，当基准元素持续将数组分成两个大致相等的部分时，快速排序表现最佳。如果输入数组是平衡的，则该算法可以实现其平均时间复杂度O(n log n)。相反，一个不平衡的数组可能导致最坏情况，增加时间复杂度到O(n^2)。平衡数组的重要性超出了理论应用；它在现实场景中也具有实际意义。在数据分析中，保持数据点的平衡数组对于准确的统计建模至关重要。例如，在进行调查或实验时，研究人员必须确保他们的样本量在不同的人口统计学中是平衡的，以避免偏见结果。如果某一人口统计学被过度代表，则从数据中得出的结论可能无法准确反映整个群体。此外，在机器学习中，在平衡数组特征上训练算法可以导致更强大的模型。不平衡的数据集可能导致模型偏向于多数类，从而阻碍其预测性能。通过确保训练数据是平衡的，从业者可以提高模型的准确性和可靠性，使其在现实应用中更有效。总之，平衡数组的概念在计算机科学和数据分析的各个领域都是基础。它作为高效算法和准确数据表示的基石。理解和实施平衡数组的原则可以在优化数据结构或确保统计分析的完整性方面带来显著的性能提升。随着技术的不断发展，平衡数组的相关性无疑将继续成为有效数据管理和处理的关键方面。