全球化对方程和数据的基于多元组的缩小模型
Bálint Kaszás1, George Haller2
1Institute for Mechanical Systems, ETH Zürich, Zurich, Switzerland. bkaszas@ethz.ch.
Nature communications
|July 1, 2025
概括
这项研究通过使用帕德近似值来增强非线性模型的减少,以扩展不变的多元组分析超出局部多项式近似值. 这种方法使动态系统中复杂的全球现象能够更准确地进行简化建模.
科学领域:
- 应用数学 应用数学 应用数学
- 计算力学 计算力学 计算力学
- 动态系统理论 动态系统理论
背景情况:
- 模型缩小对于分析复杂的动态系统至关重要.
- 使用不变变种类的当前方法受到局部多项式近似和收域的限制.
- 严格的非线性模型还原依赖于识别吸引不变的多元体.
研究的目的:
- 为了克服局部多项式近似的局限性,在不变的多元体识别.
- 扩大基于多元组的模型缩小技术的适用性.
- 为了使复杂系统中全球现象的简化建模.
主要方法:
- 使用帕德近似值,扩展局部扩展对不变的多元体.
- 为了更广泛的实用性,重新表达泰勒扩展作为理性函数.
- 将全球化的基于多元组的模型缩减应用于方程和数据驱动的示例.
主要成果:
- 帕德近似值显著扩大了局部扩展对不变变频谱的实用性.
- 增强的方法扩大了多重缩小模型的适用性.
- 成功应用于固体和流体力学实例,包括大规模振荡和混乱吸引器.
结论:
- 基于帕德近似数的多元扩展为非线性模型减少提供了一个数学严格的方法.
- 这种方法提高了准确建模全球现象的能力.
- 这种方法在力学中有效用于方程驱动和数据驱动的建模.
相关概念视频
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
103
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...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
103
Mechanistic Models: Compartment Models in Individual and Population Analysis
89
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
89
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
131
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
131
Multicompartment Models: Overview
260
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
260
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation
729
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
On...
729
Mechanistic Models: Overview of Compartment Models
170
Mechanistic models, a category encompassing both physiological and compartmental modeling, differ from empirical models' approaches to incorporating known factors about the systems being modeled. Empirical models describe data with minimal assumptions, while mechanistic models aim to provide a robust description of available data by specifying assumptions and integrating known factors about the system. Compartmental analysis is a key example of a mechanistic model in pharmacokinetics and...
170


