PHYSICAL INFRASTRUCT FOR CELL BIOLOGICAL MODELS DEVELOPMENT OF PCG ALGORITHM

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 虚拟单元默认线性求解器使用预条件共轭梯度法(PCG)，该方法已被扩展为包括更通用的最小残差算法(GMRES)，该算法适用于非对称矩阵。近年来，反应-扩散-平流方程(中心差分、迎风和混合)的新的离散化算法被实现。模拟平流、扩散和反应的新能力可用于研究驱动细胞器沿细胞骨架细丝运动的各种分子马达之间的竞争。对解算器的改进是一个正在进行的项目。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The Virtual Cell default linear solver uses the preconditioned conjugate gradient method (PCG) that has been extended to include a more general minimal residual algorithm (GMRES), which is applicable to non-symmetrical matrices.. Recently, new algorithms for discretization of reaction-diffusion-advection equations (central difference, upwind, and hybrid) have been implemented. The new capability to model advection along with diffusion and reactions can be applied to study competition of various molecular motors driving organelles along cytoskeletal filaments. Improvements to the solver are an ongoing project.