This tutorial explains the basics of linear regression metamodels—especially low-order polynomials—and the corresponding statistical designs—namely, fractional factorial des...
Background: Identifying quantitative trait loci (QTL) for both additive and epistatic effects raises the statistical issue of selecting variables from a large number of candidates...
Sparse linear solvers account for much of the execution time in many high-performance computing (HPC) applications, and not every solver works on all problems. Hence choosing a su...
The solution to a set of sparse linear equations Ax = b, where A is an n×n sparse matrix and b is an n-element vector, can be obtained using the W-matrix method. An enhanced vect...
The availability of large-scale computing platforms comprised of tens of thousands of multicore processors motivates the need for the next generation of highly scalable sparse line...