One of the major obstacles is formed by the fact that sparse programs explicitly deal with particular data structures selected for storing sparse matrices. This explicit data structure handling ...

Abstract: Sparse matrices are used/occur in most of the engineering/scientific applications. There has been a problem in optimization of compiler of sparse codes as ...

Task Description: Using any programming language of your choice. Load two sparse matrices from an input file. Perform addition, subtraction, and multiplication on the matrices. Note: Read the ...

Matrix classes for matrices that are block-tridiagonal and zero elsewhere, and simply "block sparse" - meaning they only have a few non-zero blocks, for which the data ... These types of matrices are ...

Presenting an algorithm that solves linear systems with sparse coefficient matrices asymptotically faster than matrix multiplication for any ω > 2. Our algorithm can be viewed as an efficient, ...

Large-scale electronic structure calculations usually involve huge nonlinear eigenvalue problems. A method for solving these problems without employing expensive eigenvalue decompositions of the Fock ...

Likewise, diffraction data collection at synchrotron beamlines is highly automated and makes use of robotics; and in favorable cases, determination of X-ray structures can be performed in an ...