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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

84
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...
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Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

107
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,...
107
Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model01:13

Parameters Affecting Nonlinear Elimination: Zero-Order Input, First-Order Absorption and Two-Compartment Model

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Drugs administered through various routes can lead to nonlinear elimination, resulting in complex pharmacokinetic behaviors crucial to understanding efficacious drug dosing.
When a drug is administered through a constant intravenous infusion and eliminated via nonlinear pharmacokinetics, it follows zero-order input. For example, oral drugs undergo first-order absorption upon administration and are eliminated through nonlinear pharmacokinetics.
In the case of subcutaneously administered drugs,...
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Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

116
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....
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Dynamic Equilibrium02:20

Dynamic Equilibrium

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A reversible chemical reaction represents a chemical process that proceeds in both forward (left to right) and reverse (right to left) directions. When the rates of the forward and reverse reactions are equal, the concentrations of the reactant and product species remain constant over time and the system is at equilibrium. A special double arrow is used to emphasize the reversible nature of the reaction. The relative concentrations of reactants and products in equilibrium systems vary greatly;...
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Classification of Systems-I01:26

Classification of Systems-I

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Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
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相关实验视频

Updated: Jul 25, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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经济秩序 量 基于模型的优化 模糊 非线性 动态 数学方案

Kalaiarasi Kalaichelvan1, Nasreen Kausar2, Sajida Kousar3

  • 1PG and Research Department of Mathematics, Cauvery College for Women (Affiliated to Bharathidasan University), Tiruchirappalli 620018, Tamil Nadu, India.

Computational intelligence and neuroscience
|June 28, 2023
PubMed
概括

本研究引入了一个模糊的数学方法,通过管理不确定的参数,如短缺和订单成本来优化库存成本. 适应性经济秩序数量模型提高了预测准确性和系统效率,以更好地控制库存.

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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
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科学领域:

  • 运营研究 运营研究
  • 应用数学 应用数学 应用数学
  • 库存管理 库存管理

背景情况:

  • 库存管理面临的挑战是由于不确定的市场条件影响成本,如短缺,订购和退化.
  • 传统模型与波动性参数作斗争,需要先进的方法来准确预测和策略.
  • 模糊数学为处理观测数据中的不确定性和不精确性提供了一个强大的框架.

研究的目的:

  • 开发一个适应性和整合性的经济秩序量 (EOQ) 模型,利用模糊的数学.
  • 管理不确定的库存参数,提高系统精度和计算效率.
  • 通过改善公司流程的控制和监控来优化库存成本.

主要方法:

  • 使用模糊数字来表示主要支出和不确定的参数.
  • 开发一个适应性和整合性的经济秩序数量模型.
  • 使用分级平均积分方法来确定溶液.
  • 通过视觉图形描绘进行数值和灵敏度分析.

主要成果:

  • 拟议的模糊EOQ模型有效地管理库存系统中的不确定参数.
  • 该模型显示在库存成本管理中提高了精度和计算效率.
  • 数字和灵敏度分析验证了模型的性能和适用性.
  • 该研究为优化库存成本和增强系统开发提供了一个结构.

结论:

  • 模糊的数学方法对于在不稳定的环境中准确预测至关重要.
  • 开发的模糊EOQ模型为库存成本优化提供了可靠的方法.
  • 综合模型增强了库存系统的性能,控制和监控能力.