Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of computing a matrix inverse using the Newton iteration algorithm. Compared to other algorithms, Newton ...

Recently, we have introduced an approach to basic sparse matrix computations on multicore cache based machines using recursive partitioning. Here, the memory representation of a sparse matrix consists ...

Implementation of sparse matrices in C language, where a matrix is represented using Linked Lists. A sparse matrix is a matrix in which most of the elements are zero. By only storing non-zero elements ...

The first stage estimates sparse target matrix with lesser computational cost by regularization technique. In the second stage, a loading matrix is rotated to the target, emphasizing on the ...

Structures (or “structs” in C) allow you to group several related variables and treat them as one unit. They are a mechanism for extending the type system of the C language by introducing user-defined ...

In this paper various methods of Data structure selection methodologies along with overview of delays data structure selection till compilation phase is discussed. Efficient code is generated for ...