The phrase "a large scale matrix of" is correct and usable in written English.
It can be used when describing a significant or extensive arrangement or framework of data, often in contexts related to mathematics, data analysis, or organizational structures.
Example: "The research team developed a large scale matrix of variables to analyze the impact of climate change on biodiversity."
Alternatives: "an extensive array of" or "a comprehensive framework of".
({tilde{{mathbf{D}}}}) is a large scale matrix consisting of three reflectivity decomposition operators.
SDPA-C is a primal dual interior-point method using the positive definite matrix completion technique by Fukuda et al., and it performs effectively with SDPs with a large scale matrix variable, but not with a large number of equality constraints.
Numerical experiments with the three parallel software packages SDPARA-C, SDPARA and PDSDP by Benson show that SDPARA-C efficiently solves SDPs with a large scale matrix variable as well as a large number of equality constraints with a small amount of memory.
SDPARA can effectively solve SDPs with a large number of equality constraints; however, it does not solve SDPs with a large scale matrix variable with similar effectiveness.
For the definition of the hyperparameters here we follow [16] and let (T_{C}) and (T_{S}) be the submatrices of a larger "scale" matrix (T_{0}) of dimension (Ntimes N), and choose (alpha >N).
DFC divides a large-scale matrix factorization task into smaller subproblems, solves each subproblem in parallel using an arbitrary base matrix factorization algorithm, and combines the subproblem solutions using techniques from randomized matrix approximation.
This method is accurate but time-intensive since it requires a large amount of computational resources, especially in the case of large scale matrix.
In this paper, we present a low-rank approach which exploits the structure of the saddle point system using techniques and theory from solving large scale matrix equations.
The statistical distributions for tensile strength and elastic modulus obtained from small models of the filler and matrix are introduced to a large scale model of the heterogeneous microstructure.
However, large scaled matrix computation is still treated as an open problem.
