Abstract: Exploiting the numeric symmetry in sparse matrices to reduce their memory footprint is very tempting for optimizing the memory-bound Sparse Matrix-Vector Multiplication (SpMV) kernel.

The paper reflects on mathematics education courses for K-12 teacher candidates through the lens of asymmetry enhanced by using various digital tools. It demonstrates both explicit and hidden presence ...

The constrained least-squares n × n-matrix problem where the feasibility set is the subspace of the Toeplitz matrices is analyzed. The general, the upper and lower triangular cases are solved by ...

Hypertrophy and strength training are both types of resistance training. Focusing on one area doesn’t mean you won’t see gains in the other, but varying your workouts can optimize your results.

Dr. James McCaffrey of Microsoft Research guides you through a full-code, step-by-step tutorial on "one of the most important operations in machine learning." Computing the inverse of a matrix is one ...

I am solving a problem using both the C interface and OSQP.jl. In the C interface I only pass in the upper triangular portion of P as required. The only way I can get my C solution and OSQP.jl ...

The powerful combination of cardiovascular exercise and strength training can help a person build muscle strength and improve their heart, lung, and circulatory health. Exercises that target multiple ...