Jove
Visualize
联系我们

相关概念视频

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

729
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
729
Acceleration Vectors01:30

Acceleration Vectors

8.8K
In everyday conversation, accelerating means speeding up. Acceleration is a vector in the same direction as the change in velocity, Δv, therefore the greater the acceleration, the greater the change in velocity over a given time. Since velocity is a vector, it can change in magnitude, direction, or both. Thus acceleration is a change in speed or direction, or both. For example, if a runner traveling at 10 km/h due east slows to a stop, reverses direction, and continues their run at 10 km/h...
8.8K
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

1.7K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
1.7K
Relative Motion Analysis - Acceleration01:10

Relative Motion Analysis - Acceleration

422
A slider-crank mechanism converts rotational motion from the crank into linear motion of the slider or vice versa. This mechanism consists of three main parts: the crank, the connecting rod, and the slider. The movement of the slider-crank is an example of general plane motion as the fluctuating angle between the crank and the connecting rod. Consider a segment AB where point A is at the end of the slider and point B is on the diametrically opposite end to point A, on a crack. The variance in...
422
Relative Motion Analysis using Rotating Axes - Acceleration01:22

Relative Motion Analysis using Rotating Axes - Acceleration

393
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. The absolute velocity of point B is determined by adding the absolute velocity of point A, the relative velocity of point B in the rotating frame, and the effects caused by the angular velocity within the rotating frame.
Time differentiation is...
393
Distributed Loads01:19

Distributed Loads

605
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
605

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Embodied cognition-driven interpretable trajectory prediction of autonomous systems.

Nature communications·2026
Same author

Event-triggered fuzzy logic control for an uncertain robot with coupled output constraints.

ISA transactions·2026
Same author

Window-to-window BEV representation learning for limited FoV cross-view geo-localization.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

ImagineNav++: Prompting Vision-Language Models as Embodied Navigator through Scene Imagination.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

SACI framework-based fixed-time learning control for nonlinear systems with asymmetric constraints.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Distributed Inertial k-Winners-Take-All Neural Network Based on Quadratic Optimization Problems.

IEEE transactions on neural networks and learning systems·2026
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: Sep 9, 2025

Deep Neural Networks for Image-Based Dietary Assessment
13:19

Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

9.3K

纳斯特罗夫与亚当加速梯度跟踪以实现分布式在线优化

Yanxu Su, Qingyang Sheng, Xiasheng Shi

    IEEE transactions on neural networks and learning systems
    |September 3, 2025
    PubMed
    概括
    此摘要是机器生成的。

    我们介绍NGTAdam, 一种用于大规模网络的新型分布式优化算法. 这种方法在动态在线优化问题中提高了融合速度和性能.

    更多相关视频

    A Protocol for Real-time 3D Single Particle Tracking
    10:16

    A Protocol for Real-time 3D Single Particle Tracking

    Published on: January 3, 2018

    15.0K
    Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation
    10:24

    Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation

    Published on: September 19, 2019

    6.5K

    相关实验视频

    Last Updated: Sep 9, 2025

    Deep Neural Networks for Image-Based Dietary Assessment
    13:19

    Deep Neural Networks for Image-Based Dietary Assessment

    Published on: March 13, 2021

    9.3K
    A Protocol for Real-time 3D Single Particle Tracking
    10:16

    A Protocol for Real-time 3D Single Particle Tracking

    Published on: January 3, 2018

    15.0K
    Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation
    10:24

    Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation

    Published on: September 19, 2019

    6.5K

    科学领域:

    • 分布式优化
    • 网络系统
    • 机器学习算法

    背景情况:

    • 在大规模网络上进行在线优化问题带来了重大的计算挑战.
    • 适应动态变化和实现快速融合对于实际应用至关重要.

    研究的目的:

    • 为在线问题开发加速分布式优化算法.
    • 在动态环境中平衡快速融合与强大性能的算法.

    主要方法:

    • 提出了一种新的算法,NGTAdam,它结合了Nesterov加速和自适应时刻估计.
    • 分析了使用线性系统不等式来评估动态遗憾的趋同.
    • 取决于初始条件和问题动态.

    主要成果:

    • NGTAdam表现出对动态变化的有效适应.
    • 算法实现了快速的融合率,同时保持了良好的性能.
    • 数字实验证实NGTAdam的性能优于现有的最先进的分布式在线优化算法.

    结论:

    • 在大规模网络中,NGTAdam提供了一种优质的分布式在线优化方法.
    • 在特定的时间变化的条件下,算法的动态遗憾是次线性的.
    • 这项工作推进了动态系统的加速分布式优化领域.