convex piece

简明释义

顶块

英英释义

A convex piece refers to a geometric shape or object that curves outward, having no indentations or recesses, and is characterized by the property that any line segment drawn between two points on its surface lies entirely within or on the surface of the shape.

凸面部分指的是一种几何形状或物体,其向外弯曲,没有凹陷或凹槽,具有这样的特性:在其表面上任意两点之间绘制的线段完全位于该形状的表面内或上。

例句

1.In geometry class, we learned how to calculate the area of a convex piece within a polygon.

在几何课上,我们学习了如何计算多边形内的凸形部分的面积。

2.The glass was shaped into a convex piece to enhance the optical properties of the lens.

玻璃被制成一个凸起的部分以增强透镜的光学特性。

3.The architect included a convex piece in the building's facade to create a unique visual effect.

建筑师在建筑外立面中加入了一个凸起的部分以创造独特的视觉效果。

4.The artist used a convex piece to create a stunning sculpture that catches the light beautifully.

艺术家使用了一个凸起的部分来制作一个令人惊叹的雕塑,使光线美丽地折射。

5.During the woodworking workshop, I crafted a convex piece for the furniture design.

在木工车间,我为家具设计制作了一个凸起的部分

作文

In the field of geometry, the concept of a convex piece is fundamental to understanding various shapes and their properties. A convex piece refers to a section of a geometric figure that is convex, meaning that for any two points within the piece, the line segment connecting them lies entirely within the piece. This property is crucial in many areas of mathematics and applied sciences, as it often simplifies the analysis of shapes and volumes.To illustrate this concept, consider a simple example: a circle. The entire area of a circle is a convex piece because if you take any two points inside the circle, the straight line drawn between them will never leave the boundary of the circle. This characteristic makes convex shapes particularly useful in optimization problems, where finding the best solution from a set of possible options is required. In contrast, a non-convex shape, such as a star shape, contains indentations or 'dents' that can lead to scenarios where the line segment between two points might fall outside the shape. This distinction highlights the importance of convex pieces in various applications, including computer graphics, where rendering algorithms often rely on the properties of convexity to render images efficiently.Another significant application of convex pieces is in economics, particularly in the context of utility functions. In economics, a consumer's preferences can be represented graphically, and if these preferences are depicted as a convex piece, it indicates that the consumer prefers averages or combinations of goods rather than extremes. This behavior leads to optimal consumption choices, which can be analyzed using convex analysis.Moreover, in the realm of optimization, many algorithms are designed to work specifically with convex pieces. For instance, gradient descent methods are effective when applied to convex functions because they guarantee convergence to a global minimum. This is in stark contrast to non-convex functions, where local minima can trap optimization algorithms, leading to suboptimal solutions.In conclusion, the concept of a convex piece is not only essential in geometry but also plays a critical role in various fields such as economics, optimization, and computer science. Understanding the properties and implications of convex pieces can significantly enhance our ability to solve complex problems and make informed decisions. As we continue to explore and apply these concepts, the relevance of convex pieces will undoubtedly grow, paving the way for new discoveries and innovations in both theoretical and practical domains.

在几何学领域,凸片的概念对于理解各种形状及其特性至关重要。凸片是指几何图形的一部分,该部分是凸的,这意味着对于该片内的任意两点,连接它们的线段完全位于该片内。这一特性在数学和应用科学的许多领域中都非常重要,因为它通常简化了对形状和体积的分析。为了说明这个概念,考虑一个简单的例子:一个圆。圆的整个区域是一个凸片,因为如果你在圆内选择任意两点,那么它们之间画出的直线段将永远不会离开圆的边界。这一特性使得凸形状在优化问题中尤为有用,在这些问题中,需要从一组可能的选项中找到最佳解决方案。相比之下,像星形这样的非凸形状包含凹陷或“凹口”,这可能导致连接两点的线段可能落在形状外部。这一区别突显了凸片在各种应用中的重要性,包括计算机图形学,其中渲染算法通常依赖于凸性的特性来高效地渲染图像。凸片的另一个重要应用是在经济学中,特别是在效用函数的背景下。在经济学中,消费者的偏好可以通过图形表示,如果这些偏好被描绘为凸片,则表明消费者更喜欢平均或组合商品,而不是极端。这种行为导致最优消费选择,可以通过凸分析进行分析。此外,在优化领域,许多算法专门设计用于处理凸片。例如,当应用于凸函数时,梯度下降方法是有效的,因为它们保证收敛到全局最小值。这与非凸函数形成鲜明对比,后者可能会使局部最小值困住优化算法,从而导致次优解。总之,凸片的概念不仅在几何学中是必不可少的,而且在经济学、优化和计算机科学等多个领域中发挥着关键作用。理解凸片的特性及其影响可以显著增强我们解决复杂问题和做出明智决策的能力。随着我们继续探索和应用这些概念,凸片的相关性无疑会增长,为理论和实践领域的新发现和创新铺平道路。

相关单词

convex

convex详解:怎么读、什么意思、用法