"storage matrix" is a correct and usable phrase in written English.
It refers to a structure or system that is used for storing data or information in a specific format or arrangement. You may use it when discussing data management, computer systems, or any other context where storage and organization of information is involved. Example: "The company's new data management system includes a highly efficient storage matrix, allowing for quick and easy retrieval of important information."
If the root storage matrix is not consistent with the multimedia platform distributed information, we have to consider the following five points.
A Galerkin procedure with upstream weighting of fluid mobilities, storage matrix lumping, and fully implicit treatment of nonlinear coefficients and well conditions is used.
The resulting multi-scale ODE systems are solved by reduced storage matrix method, where a quasi-stationary state assumption is adopted in the numerical solution to solve multi-scale problem in which the diffusivities of micro-pores and meso/macro-pores are significantly different.
As has been pointed out by Moench (1984), in the first decline stage, the production is primarily from fracture storage, and matrix storage does not begin to significantly contribute to production until the end of this stage.
If the former k feature vector (s) is needed, just send the vector for k times to the data storage of matrix for calculation.
We determined changes in muscle fibre contractility, type of muscle fibre, distribution and size, and the expression of messenger RNA (mRNA) and microRNAs (miRNAs) involved in muscle atrophy, inflammation, lipid synthesis and storage, extracellular matrix synthesis and fibrosis, and macrophage accumulation in nude rats that underwent a full-thickness supraspinatus and infraspinatus tear.
ESFM also modulates performance-critical components such as neighbor-point searching, sparse-matrix storage, and sparse-matrix solver enabling developed meshfree analysis programs to achieve high-performance.
We take advantage of the mesh structure on a block-by-block basis to implement these numerical operators efficiently, and achieve computational speed with modest memory requirements when compared to explicit sparse matrix storage.
The Block-ILU 0) Block-ILU 0on is perfactorizationce and an algorishm is performed for the application of the linearization which reduces both the memory and CPU time over the tranitionalgorithmatris storage format.
To overcome these complexity limitations, a compressed matrix storage scheme using Kronecker products is proposed, which reduces the asymptotic memory requirements for the storage of the system matrix significantly.
This paper describes a new sparse matrix storage format which works in conjunction with a custom memory subsystem which decodes the format on-the-fly.
