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

34
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...
34
Randomized Experiments01:13

Randomized Experiments

6.6K
The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
Simple randomization
Simple...
6.6K
Random Error01:04

Random Error

785
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
785
Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

58
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,...
58
Propagation of Uncertainty from Random Error00:59

Propagation of Uncertainty from Random Error

611
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
611
Routh-Hurwitz Criterion II01:19

Routh-Hurwitz Criterion II

163
In the application of the Routh-Hurwitz criterion, two specific scenarios can arise that complicate stability analysis.
The first scenario occurs when a singular zero appears in the first column of the Routh table. This situation creates a division by zero issues. To resolve this, a small positive or negative number, denoted as epsilon (∈), is substituted for the zero. The stability analysis proceeds by assuming a sign for ∈. If ∈ is positive, any sign change in the first...
163

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

TMPRSS2-ERG confers resistance of prostate cancer to antiandrogens.

EMBO molecular medicine·2026
Same author

AI-Driven Pathology and Blood-Based Biomarkers: A Golden Opportunity to Democratize Precision Oncology.

Cancer discovery·2026
Same author

Integrating Multi-Dimensional Data to Advance Global Health Equity in Oncology.

Cancer discovery·2026
Same author

A tumultuous journey that led to AI in cancer.

Nature cancer·2026
Same author

Inhibition of Tumor Microenvironment-Driven JAK-STAT Signaling Enhances Response to Arginine Deprivation Therapy in Triple-Negative Breast Cancer.

Cells·2026
Same author

The molecular cartography of malignant and benign sebaceous tumours.

Nature communications·2025
Same journal

Ensemble Modeling of Multiple Physical Indicators to Dynamically Phenotype Autism Spectrum Disorder.

Algorithms·2026
Same journal

Multimodal LLM vs. Human-Measured Features for AI Predictions of Autism in Home Videos.

Algorithms·2026
Same journal

Inferring the Timing of Antiretroviral Therapy by Zero-Inflated Random Change Point Models Using Longitudinal Data Subject to Left-Censoring.

Algorithms·2026
Same journal

Synthesizing Explainability Across Multiple ML Models for Structured Data.

Algorithms·2026
Same journal

Closest Farthest Widest.

Algorithms·2025
Same journal

Algorithmic Design of Geometric Data for Molecular Potential Energy Surfaces.

Algorithms·2025
查看所有相关文章

相关实验视频

Updated: May 15, 2025

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

17.0K

通过对其目标函数的随机扰动,为整数线性程序找到多个最佳解决方案.

Noah Schulhof1,2, Pattara Sukprasert3, Eytan Ruppin1

  • 1Cancer Data Science Laboratory, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.

Algorithms
|April 7, 2025
PubMed
概括
此摘要是机器生成的。

新的算法MORSE有效地为整数线性程序 (ILP) 找到多个最佳解决方案. 这种方法克服了现有的解决方案的局限性,使生物医学等领域的分析更好.

关键词:
整数线性程序是一个整数线性程序.多个最佳的多个最佳.平行算法是平行算法.随机化的算法随机的算法.选择问题 选择问题

更多相关视频

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
13:54

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

Published on: August 18, 2023

4.3K
Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
13:04

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

12.0K

相关实验视频

Last Updated: May 15, 2025

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

17.0K
A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
13:54

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

Published on: August 18, 2023

4.3K
Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods
13:04

Measuring the Subjective Value of Risky and Ambiguous Options using Experimental Economics and Functional MRI Methods

Published on: September 19, 2012

12.0K

科学领域:

  • 运营研究 运营研究
  • 计算生物学 计算生物学
  • 计算机科学 计算机科学

背景情况:

  • 整数线性程序 (ILP) 和混合整数程序 (MIP) 经常具有多个不同的最佳解决方案.
  • 像Gurobi这样的标准解决器可能会出现偏差,更频繁地返回某些最佳值,这限制了全面分析.
  • 识别和分析各种最佳解决方案对于生物医学等领域的领域特定见解至关重要.

研究的目的:

  • 介绍MORSE (通过随机抽样和仔细选择参数Epsilon) 的多重最佳值,这是一个新奇的随机算法,用于有效地生成ILP的多重最佳值.
  • 证明MORSE能够克服现有解决器在探索ILP的解决空间方面的局限性.
  • 为研究和应用提供一种有价值的各种最佳解决方案的方法.

主要方法:

  • 莫尔斯使用对象函数的系数的乘法扰动,创建保留原始最佳的修改实例.
  • 该算法旨在随机化和并行化,以实现高效的计算.
  • 理论证明证明了在特定条件下保持最佳值的可能性,并且在 0/1 选择问题中找到不同的最佳值的概率相等.

主要成果:

  • 摩尔斯被评估使用指标,如发现的不同最佳数量和解决方案多样性 (平均对式哈明距离,香农).
  • 经验结果表明,MORSE的表现优于古罗比方法和未加权的MORSE变异.
  • 在混合整数编程库 (MIPLIB) 实例和癌症基因组学组合优化问题上测试了性能.

结论:

  • MORSE是一种有效的算法,用于发现ILP的多个不同的最佳解决方案.
  • 该方法通过更全面地探索解决方案景观,比传统的解决方案提供了优势.
  • 摩尔斯能够产生多种优化的能力对计算生物学,癌症基因组学和其他需要深入分析优化问题的领域的研究有重大影响.