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相关概念视频

Vector Algebra: Method of Components01:08

Vector Algebra: Method of Components

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It is cumbersome to find the magnitudes of vectors using the parallelogram rule or using the graphical method to perform mathematical operations like addition, subtraction, and multiplication. There are two ways to circumvent this algebraic complexity. One way is to draw the vectors to scale, as in navigation, and read approximate vector lengths and angles (directions) from the graphs. The other way is to use the method of components.
In many applications, the magnitudes and directions of...
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Consider a vector rotating about an axis with an angular velocity, such that its tip sweeps a circular path.
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Vectors are usually described in terms of their components in a coordinate system. Even in everyday life, we naturally invoke the concept of orthogonal projections in a rectangular coordinate system. For example, if someone gives you directions for a particular location, you will be told to go a few km in a direction like east, west, north, or south, along with the angle in which you are supposed to move. In a rectangular (Cartesian) xy-coordinate system in a plane, a point in a plane is...
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Consider a crane whose telescopic boom rotates with an angular velocity of 0.04 rad/s and angular acceleration of 0.02 rad/s2. Along with the rotation, the boom also extends linearly with a uniform speed of 5 m/s. The extension of the boom is measured at point D, which is measured with respect to the fixed point C on the other end of the boom. For the given instant, the distance between points C and D is 60 meters.
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Position Vectors01:29

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A position vector is a fundamental concept in mathematics that helps determine the position of one point with respect to another point in space. It is a vector that describes the direction and distance between two points. Position vectors are highly useful in the field of math and science, as they help represent spatial relationships and make calculations easier.
For instance, we want to locate a point P(x, y, z) relative to the origin of coordinates O. In that case, we can define a position...
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Relative Motion Analysis using Rotating Axes01:25

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Consider a component AB undergoing a linear motion. Along with a linear motion, point B also rotates around point A. To comprehend this complex movement, position vectors for both points A and B are established using a stationary reference frame.
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基于矢量成像模型的光学近距离校正方法.

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    本研究介绍了一种基于边缘的光学近距离校正 (OPC) 方法,使用矢量成像模型. 这种新的方法在集成电路制造中以更少的代实现了高精度.

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    科学领域:

    • 集成电路制造 集成电路制造
    • 计算式 lithography 的使用方法.

    背景情况:

    • 光学近距离校正 (OPC) 对于集成电路 (IC) 制造至关重要.
    • 传统的OPC方法需要广泛的计算来准确建模和模式校正.

    研究的目的:

    • 提出一个高效和准确的基于边缘的OPC方法.
    • 通过向下采样面具模式来减少OPC中的计算负载.
    • 为了建立成本函数和边缘段运动之间的分析相关性.

    主要方法:

    • 开发了一个基于边缘的OPC方法,利用矢量成像模型.
    • 分段和减量样本的掩盖模式来减少数据.
    • 使用链条规则来推导成本价值和细分运动之间的差异关系.
    • 使用准牛顿方法来确定细分调整.

    主要成果:

    • 拟议的方法使用链条规则建立了分析相关性.
    • 面具图案通过细分和降低样本有效地处理.
    • 与商业软件相比,在几次代内显示出良好的OPC准确性.

    结论:

    • 新型基于边缘的OPC方法提供了高精度和效率.
    • 这种方法简化了集成电路制造所涉及的复杂计算.
    • 矢量成像模型和链条规则的应用是该方法成功的关键.