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

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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.
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In the Carnot engine, which achieves the maximum efficiency between two reservoirs of fixed temperatures, the total change in entropy is zero. The observation can be generalized by considering any reversible cyclic process consisting of many Carnot cycles. Thus, it can be stated that the total entropy change of any ideal reversible cycle is zero.
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Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
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The thermodynamic processes can be classified into reversible and irreversible processes. The processes that can be restored to their initial state are called reversible processes. It is only possible if the process is in quasi-static equilibrium, i.e., it takes place in infinitesimally small steps, and the system remains at equilibrium However, these are ideal processes and do not occur naturally. An ideal system undergoing a reversible process is always in thermodynamic equilibrium within...
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Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
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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.
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具有非形回归函数的双阶段存量程序的分解算法

Hanyang Li1, Ying Cui1

  • 1Department of Industrial Engineering and Operations Research, University of California, Berkeley, Berkeley, CA 94720 USA.

SIAM journal on optimization : a publication of the Society for Industrial and Applied Mathematics
|August 25, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的分解方法来解决复杂的二阶段随机程序. 这种新方法有效地处理非凸性,为具有挑战性的优化问题提供了强有力的解决方案.

关键词:
90C15 其他90C26 其他分解情况不凸的诉求两个阶段的随机程序

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科学领域:

  • 优化情况
  • 数学编程
  • 计算科学

背景情况:

  • 经典的分解方法在两个阶段的随机程序中失败.
  • 通过第一阶段变量进行非线性参数化复杂化了第二阶段的目标和约束.
  • 克拉克规律性失误阻止了德或拉格朗的算法的直接通用化.

研究的目的:

  • 为非凸的两阶段随机程序开发一种新的分解框架.
  • 解决当克拉克规律性失败时现有方法的局限性.
  • 为非线性参数化的第二阶段求助函数提供有效的算法.

主要方法:

  • 探索隐含的凸形结构的求助函数.
  • 引入使用部分莫罗包的分解框架.
  • 连续生成强的二次方程近似函数.
  • 通过解决第二阶段凸子问题的方法将近值纳入第一阶段的主题.

主要成果:

  • 在固定和顺序采样场景中确定了趋同.
  • 通过数值实验证明拟议的算法的有效性.
  • 在二阶段随机编程中成功解决了非凸度的挑战.

结论:

  • 新的部分莫罗包式分解框架对于非凸的双阶段随机程序是有效的.
  • 该方法克服了经典分解算法的局限性.
  • 该方法为具有非线性参数化的求助函数的复杂优化问题提供了可行的解决方案.