underflow

简明释义

英[ˈʌndəfləʊ]美[ˈʌndərˈfloʊ]

n. [水文] 底流；[计] 下溢

英英释义

单词用法

同义词

反义词

例句

1.The underflow energy dissipation is a commonly used type for sluice gate, and the apron is an important component of energy dissipation structure.

底流式消能是水闸常用的消能方式，海漫是其消能结构的重要组成部分。

2.A floating-point underflow occurred at the RPC server.

RPC服务器上发生浮点下溢。

3.The stack could underflow if you clean up too much in a function and then attempt to return.

堆栈下溢的，如果你能在一个清洁的功能太多，然后试图返回。

4.Use of composite cyclones and high-frequency vibrating screen for higher recovery of screen underflow;

使用组合旋流器和高频振动筛回收筛下品；

5.It is reasonable to explain this phenomenon with the underflow erosion.

用潜蚀机制解释这种现象较为合理，它是一个累进变形破坏过程。

6.Arch net floor has opened up a new way for the small-sized works, expecially for the canal system structures of low FroudaNumber underflow energy dissipation.

拱网为小型工程特别是渠系建筑物低佛氏数底流消能开辟了一条新途径。

7.The flow field analysis shows that the gas-liquid separating efficiency is not satisfied with the bad axial symmetry of the flow field and high gas content near the underflow outlet.

通过流场分析可以看出，流场对称性很差，底流出口附近气体含量较多，说明气液分离效果不好。

8.The introduction of the improved EM algorithm also reduces the risk of data underflow .

使用一种改进的EM算法降低了数据下溢的风险。

9.The program crashed due to an underflow error when trying to subtract a large number from zero.

由于在试图从零中减去一个大数时发生了下溢错误，程序崩溃了。

10.In computer graphics, an underflow can occur when calculating colors that exceed the minimum value.

在计算机图形学中，当计算的颜色超过最小值时，可能会发生下溢。

11.The calculator displayed an error message because of an underflow during the division operation.

由于在除法运算中发生了下溢，计算器显示了错误信息。

12.The software development team had to fix a bug related to underflow in their financial calculations.

软件开发团队不得不修复与财务计算中的下溢相关的错误。

13.When handling floating-point numbers, an underflow can lead to inaccurate results.

在处理浮点数时，下溢可能导致不准确的结果。

作文

In computer science and programming, the term underflow refers to a condition that occurs when a calculation produces a result that is smaller than the minimum limit that can be represented within a given number system. This phenomenon is especially prevalent in floating-point arithmetic, where numbers are represented in a way that can lead to precision issues. When an operation results in a value that is too small to be stored, it can cause unexpected behavior in programs, leading to errors or incorrect results. Understanding underflow is crucial for developers, as it can affect the integrity of data and the reliability of applications.For instance, consider a scenario in which a program attempts to calculate the average of a set of very small numbers. If the sum of these numbers is considerably less than the smallest positive number representable in the floating-point format being used, the result may trigger an underflow. Instead of yielding a meaningful average, the program may return zero or even produce an error, which could compromise the program's functionality.Moreover, underflow can also occur in other contexts, such as in data structures like stacks and queues. In a stack implementation, if a pop operation is attempted on an empty stack, this can be considered a type of underflow, as there are no elements to remove. Such situations highlight the importance of implementing checks and balances within algorithms to prevent underflow conditions from occurring.The implications of underflow extend beyond just technical errors; they can have real-world consequences. For example, in financial applications where precise calculations are critical, an underflow might lead to significant monetary miscalculations, affecting budgets and financial forecasts. Therefore, programmers must be vigilant about potential underflow scenarios and implement robust error handling to safeguard against them.To mitigate the risks associated with underflow, developers can employ various strategies. One effective approach is to use data types that can handle a wider range of values, such as using double-precision floating-point numbers instead of single-precision ones. Additionally, implementing checks before performing operations that could lead to underflow can help identify potential issues early on. For instance, before dividing two numbers, a programmer might check if the denominator is sufficiently far from zero to avoid underflow.In conclusion, understanding the concept of underflow is essential for anyone involved in programming or software development. It serves as a reminder of the limitations inherent in numerical representations and the importance of careful coding practices. By being aware of underflow and taking proactive measures to address it, developers can create more reliable and accurate applications that perform well under a variety of conditions. As technology continues to advance, the need for precision in calculations will only grow, making the understanding of underflow increasingly relevant in the field of computer science.

在计算机科学和编程中，术语underflow指的是一种条件，当计算产生的结果小于给定数字系统中可以表示的最小限制时，就会发生这种情况。这种现象在浮点算术中尤为常见，在这种情况下，数字以可能导致精度问题的方式表示。当一个操作的结果小到无法存储时，它可能会导致程序中出现意外行为，从而导致错误或不正确的结果。理解underflow对于开发人员至关重要，因为它会影响数据的完整性和应用程序的可靠性。例如，考虑一个程序尝试计算一组非常小的数字的平均值的场景。如果这些数字的总和远小于浮点格式中可表示的最小正数，则结果可能会触发underflow。程序可能不会返回有意义的平均值，而是返回零，甚至产生错误，这可能会损害程序的功能。此外，underflow还可以在其他上下文中发生，例如在栈和队列等数据结构中。在栈实现中，如果尝试对空栈进行弹出操作，这可以视为一种underflow，因为没有元素可以移除。这种情况突显了在算法中实施检查和平衡的重要性，以防止发生underflow条件。underflow的影响不仅仅局限于技术错误；它们可能会带来现实世界的后果。例如，在财务应用程序中，精确计算至关重要，underflow可能导致重大货币误算，从而影响预算和财务预测。因此，程序员必须对潜在的underflow场景保持警惕，并实施强大的错误处理机制以防止其发生。为了减轻与underflow相关的风险，开发人员可以采用各种策略。一种有效的方法是使用能够处理更广泛值范围的数据类型，例如使用双精度浮点数而不是单精度浮点数。此外，在执行可能导致underflow的操作之前，实施检查可以帮助及早识别潜在问题。例如，在对两个数字进行除法运算之前，程序员可能会检查分母是否足够远离零，以避免underflow。总之，理解underflow的概念对于任何参与编程或软件开发的人来说都是必不可少的。它提醒我们数字表示固有的局限性以及仔细编码实践的重要性。通过了解underflow并采取主动措施来解决它，开发人员可以创建更可靠、更准确的应用程序，在各种条件下表现良好。随着技术的不断进步，对计算精度的需求只会增加，使得理解underflow在计算机科学领域变得越来越相关。