Jove
Visualize
联系我们
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

相关概念视频

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

645
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...
645
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

89
Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
89
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

53
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
53
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

81
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
81
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

1.5K
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
1.5K
Upsampling01:22

Upsampling

232
Managing signal sampling rates is essential in digital signal processing to maintain signal integrity. A decimated signal, characterized by a reduced frequency range due to its lower sampling rate, can be upsampled by inserting zeros between each sample. This upsampling process expands the original spectrum and introduces repeated spectral replicas at intervals dictated by the new Nyquist frequency. To refine this zero-inserted sequence, it is passed through a lowpass filter with a cutoff...
232

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

Human migration in the eastern Tianshan Mountains between the 7th and 12th centuries.

American journal of biological anthropology·2023
Same author

<i>FLNA-</i>filaminopathy skeletal phenotypes are not due to an osteoblast autonomous loss-of-function.

Bone reports·2023
Same author

Visual assessment of global chromatin intranuclear localization and its cellular diversification in mouse cells.

Acta biochimica et biophysica Sinica·2023
Same author

Genome-wide analysis of mutations induced by carbon ion beam irradiation in cotton.

Frontiers in plant science·2023
Same author

Comparative Proteomic Analysis Provides New Insights into the Molecular Basis of Thermal-Induced Parthenogenesis in Silkworm (<i>Bombyx mori)</i>.

Insects·2023
Same author

Chicken infectious anemia virus (CIAV) VP1 antagonizes type I interferon (IFN-I) production by inhibiting TBK1 phosphorylation.

Virus research·2023
Same journal

Costunolide ameliorates autoimmune uveitis by targeting USP15 to suppress TNF-α-induced retinal endothelial inflammation.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

A ligandable PNT domain establishes ERG as a directly targetable oncogenic driver in prostate cancer.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Identification of cellular intermediates unveils unique enzymes for flagellar glycan biosynthesis in <i>Clostridioides difficile</i>.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

The structure of correlated variability reflects task-relevant information in sensory neurons.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

Shared neurogenetic substrates of nonplanning impulsivity and procrastination.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same journal

HIV-1 capsid interactions with Nuclear Pore Complex components support nuclear entry via affinity gradient.

Proceedings of the National Academy of Sciences of the United States of America·2026
查看所有相关文章

相关实验视频

Updated: Jun 28, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

542

量化避免了分布式优化中的位点.

Yanan Bo1, Yongqiang Wang1

  • 1Department of Electrical and Computer Engineering, Clemson University, Clemson, SC 29634.

Proceedings of the National Academy of Sciences of the United States of America
|April 19, 2024
PubMed
概括
此摘要是机器生成的。

在分布式非凸式优化中的量化有助于避免点,提高准确性. 这种方法减少了通信开销,并确保了深度学习和网络系统中更好的解决方案的融合.

关键词:
分布的非凸的优化优化定量化定量化是什么避开位的避开方法

更多相关视频

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.0K
WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

5.0K

相关实验视频

Last Updated: Jun 28, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

542
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.0K
WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control
08:18

WheelCon: A Wheel Control-Based Gaming Platform for Studying Human Sensorimotor Control

Published on: August 15, 2020

5.0K

科学领域:

  • 分布式系统 分布式系统
  • 优化理论 优化理论
  • 机器学习 机器学习

背景情况:

  • 分布式非凸式优化对于动力系统,机器人技术和深度学习至关重要.
  • 在这些系统中,点降低了优化准确性.
  • 在分布式环境中,通讯开销是一个重大挑战.

研究的目的:

  • 提出一种新的方法来避免分布式非凸优化中的点.
  • 利用量子化来改善融合和减少沟通.
  • 确保与二次静止点的趋同.

主要方法:

  • 为分布式非凸式优化引入了一个随机定量化方案.
  • 理论分析证明了点逃逸和收特性.
  • 可调节的量子化颗粒度可以控制通信比特率.

主要成果:

  • 拟议的方案有效地逃避了位点.
  • 与第二阶静止点的收得到了保证.
  • 数字实验验证了对基准数据集的方法.

结论:

  • 随机定量化是一种有效的策略,用于避免在分布式非凸优化中的点.
  • 该方法提供了通信成本和融合质量之间的权衡.
  • 这种方法提高了分布式优化在大型系统和深度学习中的适用性.