interpolates

简明释义

英[ˌɪntəˈpəʊleɪts]美[ˌɪntərˈpoʊleɪts]

篡改

插入（interpolate 的第三人称单数）

英英释义

单词用法

同义词

反义词

例句

1.What this tool does it take only the very first sample in the selection range and the very last sample in the range, and then linearly interpolates the view direction smoothly across the entire range.

选择这项流程型态将会在选择范围间取第一个与最后一个的摄影机的角度，并且利用这个两个值作选择范围中每个框架的线性内差值。

2.Spherically interpolates between two vectors.

球形插值在两个向量之间。

3.Linearly interpolates between two vectors.

两个向量之间的线形插值。

4.Linearly interpolates between two vectors.

两个向量之间的线性插值。

5.This formulation solves the non-linear problem on the surface of the boundary elements and interpolates these effects between these boundaries.

这一提法解决非线性问题，表面上的边界插值这些要素和影响之间的界限。

6.New method for constructing spline curves which interpolates scatcer data points is presented in this paper.

本文着重研讨了一种根据计算机图形学中空间分布的型值点来构造插值样条曲线的造型方法。

7.Constructing triangle surface which interpolates the boundary curve and cross-boundary slopes on a triangle is the basic problem in computer aided geometric design, computer graphics and so on.

在三角形域上构造对边界曲线和跨界导数插值的三角曲面是计算机辅助几何设计和计算机图形学等领域中的基本问题。

8.She has worked with local embroiderers to replicate parts of her paintings in intricate embroidery, which in turn she interpolates within her own drawings.

她曾与当地的刺绣工一起工作，将她的一部分绘画作品复制到复杂的刺绣品上，然后依次将刺绣品添加到她自己的绘画当中。

9.What this tool does it take only the very first sample in the selection range and the very last sample in the range, and then linearly interpolates the view direction smoothly across the entire range.

选择这项流程型态将会在选择范围间取第一个与最后一个的摄影机的角度，并且利用这个两个值作选择范围中每个框架的线性内差值。

10.The algorithm interpolates the values from the surrounding pixels to enhance image quality.

该算法插值周围像素的值，以增强图像质量。

11.In the animation, the program interpolates between keyframes to produce fluid motion.

在动画中，该程序插值关键帧之间以产生流畅的动作。

12.The researcher interpolates the experimental results to predict future outcomes.

研究人员插值实验结果以预测未来的结果。

13.When modeling the terrain, the system interpolates elevation data from various sources.

在建模地形时，该系统插值来自不同来源的高程数据。

14.The software interpolates missing data points to create a smoother graph.

该软件插值缺失的数据点，以创建更平滑的图表。

作文

In the world of data analysis and mathematical modeling, one often encounters various techniques to estimate unknown values from known data points. One such technique is called interpolation. Interpolation is a method used to create new data points within the range of a discrete set of known data points. When we say that a function interpolates between these points, we mean that it estimates values that lie between the existing data points based on the trend or pattern observed in the known data. This concept is widely used in fields such as engineering, computer graphics, and statistics.For example, consider a scenario where a researcher collects temperature data at specific intervals throughout the day. If the data is recorded only at 8 AM, 12 PM, and 4 PM, but the researcher wants to know the temperature at 10 AM and 2 PM, they can use interpolation. By applying an interpolation method, such as linear interpolation, the researcher interpolates the values for 10 AM and 2 PM based on the temperatures recorded at 8 AM, 12 PM, and 4 PM. This allows them to make informed conclusions about temperature trends throughout the day.Interpolation can take many forms, depending on the nature of the data and the desired accuracy. Linear interpolation is the simplest form, where straight lines are drawn between two known points to estimate unknown values. However, this method may not always provide accurate results, especially if the data has a nonlinear trend. In such cases, polynomial interpolation or spline interpolation might be used, which can provide a more accurate representation of the data by using curves rather than straight lines.In the realm of computer graphics, interpolation plays a crucial role in rendering images and animations. For instance, when animating a character's movement, keyframes are set at specific points in time. The computer then interpolates the positions of the character between these keyframes to create smooth transitions. This process ensures that the animation appears fluid and realistic, enhancing the viewer's experience.Moreover, interpolation is not limited to numerical data; it can also be applied to other types of information, such as audio and video signals. For example, when upsampling audio, algorithms interpolate additional samples between existing ones to increase the sample rate, resulting in higher quality sound reproduction. Similarly, in video processing, frame interpolation is used to generate intermediate frames between existing ones, creating smoother motion in videos.Despite its usefulness, it is essential to recognize the limitations of interpolation. It is important to remember that interpolation assumes that the underlying data follows a consistent pattern. If the data is erratic or contains outliers, the results of interpolation may lead to inaccurate conclusions. Therefore, careful consideration must be given to the selection of interpolation methods and the interpretation of the results.In conclusion, the concept of interpolates is fundamental in various fields that rely on estimating unknown values from known data. Whether it is in scientific research, computer graphics, or signal processing, understanding how to effectively use interpolation techniques can significantly enhance the quality and accuracy of data analysis. As technology continues to evolve, the importance of mastering these methods will only grow, making interpolation a vital skill for professionals across diverse disciplines.

在数据分析和数学建模的世界中，人们经常会遇到各种技术来从已知数据点中估计未知值。其中一种技术称为插值。插值是一种用于在离散已知数据集的范围内创建新数据点的方法。当我们说一个函数插值这些点之间时，我们的意思是它根据已知数据中观察到的趋势或模式来估计位于现有数据点之间的值。这个概念广泛应用于工程、计算机图形学和统计学等领域。例如，考虑一个研究人员在一天中的特定时间间隔收集温度数据的场景。如果数据仅在早上8点、中午12点和下午4点记录，但研究人员想知道上午10点和下午2点的温度，他们可以使用插值。通过应用插值方法，例如线性插值，研究人员可以根据早上8点、中午12点和下午4点记录的温度插值上午10点和下午2点的值。这使他们能够对一天中的温度趋势做出明智的结论。插值可以有多种形式，具体取决于数据的性质和所需的准确性。线性插值是最简单的形式，在这种形式中，直线在两个已知点之间绘制，以估计未知值。然而，这种方法可能并不总是提供准确的结果，特别是如果数据具有非线性趋势。在这种情况下，可能会使用多项式插值或样条插值，后者可以通过使用曲线而不是直线来提供数据的更准确表示。在计算机图形学的领域，插值在图像和动画的渲染中起着至关重要的作用。例如，在动画角色运动时，关键帧在特定时间点设置。计算机然后插值这些关键帧之间角色的位置，以创建平滑的过渡。这个过程确保动画看起来流畅而真实，从而增强观众的体验。此外，插值不仅限于数值数据；它也可以应用于其他类型的信息，例如音频和视频信号。例如，在音频上采样时，算法插值现有样本之间的额外样本，以增加采样率，从而实现更高质量的声音重现。同样，在视频处理中，帧插值用于生成现有帧之间的中间帧，从而在视频中创建更平滑的运动。尽管插值非常有用，但必须认识到插值的局限性。重要的是要记住，插值假设基础数据遵循一致的模式。如果数据不稳定或包含异常值，插值的结果可能导致不准确的结论。因此，必须仔细考虑插值方法的选择和结果的解释。总之，插值的概念在依赖于从已知数据中估计未知值的各个领域中是基础。无论是在科学研究、计算机图形学还是信号处理，理解如何有效使用插值技术都可以显著提高数据分析的质量和准确性。随着技术的不断发展，掌握这些方法的重要性只会增加，使插值成为各个学科专业人士必备的技能。