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

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

56
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...
56

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

A unified performance-cost landscape of parallel p-bit Ising machines based on update dynamics.

Scientific reports·2026
Same author

GPU-accelerated simulated annealing based on p-bits with real-world device-variability modeling.

Scientific reports·2025
Same author

Fast-Converging Simulated Annealing for Ising Models Based on Integral Stochastic Computing.

IEEE transactions on neural networks and learning systems·2022
查看所有相关文章

相关实验视频

Updated: Jul 5, 2025

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.2K

增强了基于p-bit的模拟化与部分停用在大规模组合优化问题上的融合.

Naoya Onizawa1, Takahiro Hanyu2

  • 1Research Institute of Electrical Communication, Tohoku University, Sendai, 980-8577, Japan. naoya.onizawa.a7@tohoku.ac.jp.

Scientific reports
|January 16, 2024
PubMed
概括

这项研究解决了模拟化与概率位 (pSA) 进行优化的局限性. 新的TApSA和SpSA算法通过管理p-bit振荡来提高性能,增强复杂问题的解决方案.

科学领域:

  • 计算科学 计算科学
  • 优化算法 优化算法
  • 统计物理 统计物理

背景情况:

  • 用概率位 (pSA) 模拟回火用于组合优化.
  • 由于概率位 (p-bits) 之间的振荡,pSA面临着局限性.
  • 这些振荡阻碍了Ising模型中的能量减少,阻碍了复杂的问题解决.

研究的目的:

  • 在大规模的组合优化中批判性地研究pSA的局限性.
  • 为了确定pSA能量停滞的根本原因.
  • 为改善pSA性能提出新的算法.

主要方法:

  • 对pSA过程和p-bit振荡进行了深入分析.
  • 详细的模拟以了解能量停滞和反机制.
  • 开发和测试两个新的算法:时间平均pSA (TApSA) 和停滞pSA (SpSA).
  • 在最大切割基准上使用Python模拟实现.

主要成果:

  • 确定了pSA中固有的反机制作为破坏性振荡的原因.
  • TApSA和SpSA算法是基于p-bits的部分停用而设计的.
  • 在16个基准 (800-5000个节点) 上,与传统的pSA相比,提出的方法平均提高了0.8%至98.4%的正常切割值.

更多相关视频

Deciphering the Structural Effects of Activating EGFR Somatic Mutations with Molecular Dynamics Simulation
15:05

Deciphering the Structural Effects of Activating EGFR Somatic Mutations with Molecular Dynamics Simulation

Published on: May 20, 2020

8.6K
Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

17.1K

相关实验视频

Last Updated: Jul 5, 2025

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry
12:11

Computation of Atmospheric Concentrations of Molecular Clusters from ab initio Thermochemistry

Published on: April 8, 2020

8.2K
Deciphering the Structural Effects of Activating EGFR Somatic Mutations with Molecular Dynamics Simulation
15:05

Deciphering the Structural Effects of Activating EGFR Somatic Mutations with Molecular Dynamics Simulation

Published on: May 20, 2020

8.6K
Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
10:58

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

Published on: July 25, 2013

17.1K

结论:

  • 拟议的TApSA和SpSA算法有效地减轻了由p-bit振荡引起的pSA限制.
  • 这些新的方法为大规模的组合优化问题提供了显著的性能改进.
  • 对p-bits的部分禁用是增强模拟回火算法的可行策略.