We study the convergence of a proximal-like minimization algorithm using Bregman functions. We extend the convergence results by Censor and Zenios (1992) and by Chen and Teboulle (1993) by showing ...

The quantum-AI convergence represents the next fundamental shift in how we process information, solve problems and create ...

Projection algorithms are well known for their simplicity and flexibility in solving feasibility problems. They are particularly important in practice owing to minimal requirements for software ...

A team of predominantly Filipino weather scientists developed a physics-based algorithm to detect and monitor shear lines.