PHYSICAL INFRASTRUCT FOR CELL BIOLOGICAL MODELS DEVELOPMENT OF PCG ALGORITHM

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 虚拟单元默认线性求解器使用预处理共轭梯度法（PCG），该方法已扩展为包括更通用的最小残差算法（GMRES），适用于非对称矩阵。最近，已经实现了反应-扩散-平流方程离散化的新算法（中心差分、逆风和混合）。新的能力，模型平流沿着扩散和反应，可以应用于研究竞争的各种分子马达驱动细胞器沿着细胞骨架丝。对求解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.