The main computational cost per iteration of adaptive cubic regularizati...
In this paper, we study the following nonlinear matrix decomposition (NM...
Given the matrix equation A X + X B + f( X ) C =
D in the unknown n× m...
We propose an algorithm for computing the projection of a symmetric
seco...
This work addresses optimal control problems governed by a linear
time-d...
Dictionary Learning (DL) is one of the leading sparsity promoting techni...
Spectral residual methods are derivative-free and low-cost per iteration...
A new relaxed variant of interior point method for low-rank semidefinite...
Optimal control problems including partial differential equation (PDE) a...
It is shown how to use the performance and data profile benchmarking too...