gradients

简明释义

英[ˈɡreɪ.di.ənts]美[ˈɡreɪ.di.ənts]

n. 渐变，[数][物]梯度（gradient 复数形式）

英英释义

单词用法

同义词

反义词

例句

1.Next in two new layers, draw a couple of Radial Gradients from white to transparency, one larger than the other.

下一步在两个新图层中，绘制一组白色到透明的光线梯度，逐步扩大。

2.Do not use drop shadows, gradients, or three-dimensional images.

不要使用阴影、渐变或三维图像。

3.Patterns in cairo can be solid, surface-based, or even gradients patterns.

cairo中的模式可以是实体模式、基于外表的模式甚至逐变模式。

4.This technique works well for simple gradients that need to expand and contract in a horizontal or vertical direction.

对于需要沿水平或垂直方向扩展或收缩的简单渐变，这种技术是有效的。

5.This handy app lets you create a variety of CSS3 elements, including rounded corners, gradients, and shadows.

这个灵巧的应用程序可为你创建各类CSS3元素，包括圆角、斜度和阴影。

6.Texture Gradients - Objects that are farther away appear rougher and appear to have more detailed textures.

纹理梯度——远处的物品会显得粗糙，并可以看到更多的纹理细节。

7.The temperature gradients in the ocean affect weather patterns globally.

海洋中的温度梯度会影响全球的天气模式。

8.He adjusted the gradients in the photo editing software for a more dramatic effect.

他在照片编辑软件中调整了渐变以获得更戏剧化的效果。

9.The topography of the land shows steep gradients in certain areas.

该地区的地形在某些地方显示出陡峭的坡度。

10.In machine learning, algorithms often optimize loss functions using gradients.

在机器学习中，算法通常使用梯度来优化损失函数。

11.The artist used various color gradients to create depth in the painting.

艺术家使用了各种颜色的渐变来为画作增添深度。

作文

In the realm of mathematics and physics, the concept of gradients (梯度) plays a crucial role in understanding how things change. A gradient (梯度) essentially measures the rate of change of a quantity with respect to another quantity. For instance, in calculus, the gradient (梯度) of a function at a particular point indicates how steeply the function is increasing or decreasing at that point. This notion can be applied to various fields, including engineering, economics, and even biology. To illustrate the importance of gradients (梯度), consider the example of a hill. The steepness of the hill can be described using the concept of gradients (梯度). If you were to walk up the hill, the gradient (梯度) would tell you how much elevation you gain for every step you take forward. A steep hill has a large gradient (梯度), meaning you gain a lot of height quickly, while a gentle slope has a small gradient (梯度), indicating a slower increase in elevation. In the field of physics, gradients (梯度) are used to describe various phenomena such as temperature changes, pressure variations, and electric fields. For example, when considering heat transfer, the gradient (梯度) of temperature indicates how temperature varies in space. A high temperature gradient (梯度) means that there is a significant difference in temperature over a short distance, which can lead to rapid heat transfer. Conversely, a low temperature gradient (梯度) suggests that the temperature remains relatively constant over a distance, resulting in slower heat transfer. In economics, gradients (梯度) can help analyze how different factors influence supply and demand. The gradient (梯度) of a demand curve, for instance, shows how the quantity demanded changes as the price changes. A steep demand curve indicates that a small change in price results in a large change in quantity demanded, while a flatter curve suggests that price changes have a smaller effect on demand. Understanding these gradients (梯度) allows businesses to make informed decisions about pricing strategies and inventory management. In biology, gradients (梯度) can be observed in processes such as diffusion and osmosis. For example, when a drop of dye is placed in water, it spreads out due to the concentration gradient (梯度) between the dye and the surrounding water. The dye molecules move from an area of high concentration to an area of low concentration until equilibrium is reached. This movement is driven by the gradient (梯度) of concentration, demonstrating how gradients (梯度) are fundamental to understanding biological processes. In conclusion, the concept of gradients (梯度) is essential across various disciplines. Whether we are analyzing the steepness of a hill, the rate of temperature change, the dynamics of supply and demand, or the movement of molecules in biological systems, gradients (梯度) provide valuable insights into the behavior of different phenomena. By grasping the significance of gradients (梯度), we can better understand the world around us and make more informed decisions based on the principles of change and variation.

在数学和物理的领域中，gradients（梯度）的概念在理解事物如何变化方面发挥着至关重要的作用。gradient（梯度）基本上测量某个量相对于另一个量的变化率。例如，在微积分中，函数在特定点的gradient（梯度）指示该点函数增加或减少的陡峭程度。这个概念可以应用于各种领域，包括工程、经济学甚至生物学。为了说明gradients（梯度）的重要性，考虑一个山丘的例子。山丘的陡峭程度可以用gradients（梯度）来描述。如果你要走上山，gradient（梯度）将告诉你每向前一步你获得多少高度。陡峭的山有一个大的gradient（梯度），意味着你很快就能获得很多高度，而缓坡则有一个小的gradient（梯度），表示高度增加得较慢。在物理领域中，gradients（梯度）用于描述温度变化、压力变化和电场等各种现象。例如，在考虑热传递时，温度的gradient（梯度）指示温度在空间中的变化。高温度gradient（梯度）意味着在短距离内温度存在显著差异，这可能导致快速的热传递。相反，低温度gradient（梯度）表明温度在一定距离内保持相对恒定，从而导致较慢的热传递。在经济学中，gradients（梯度）可以帮助分析不同因素如何影响供需关系。例如，需求曲线的gradient（梯度）显示当价格变化时，需求量如何变化。陡峭的需求曲线表明价格的小幅变化会导致需求量的大幅变化，而较平坦的曲线则表明价格变化对需求的影响较小。理解这些gradients（梯度）使企业能够在定价策略和库存管理方面做出明智的决策。在生物学中，gradients（梯度）可以在扩散和渗透等过程中观察到。例如，当一滴染料放入水中时，由于染料与周围水之间的浓度gradient（梯度），它会扩散开来。染料分子从高浓度区域移动到低浓度区域，直到达到平衡。这种运动是由浓度的gradient（梯度）驱动的，展示了gradients（梯度）在理解生物过程中的基本作用。总之，gradients（梯度）这一概念在各个学科中都至关重要。无论我们是在分析山丘的陡峭度、温度变化的速率、供需动态，还是生物系统中分子的运动，gradients（梯度）都为不同现象的行为提供了宝贵的见解。通过掌握gradients（梯度）的重要性，我们可以更好地理解周围的世界，并根据变化和变异的原则做出更明智的决策。