1 citations · 2 across the 4 of their papers we have counts for
4 papers
Two globally convergent nonmonotone trust-region methods for unconstrained optimization
Masoud Ahookhosh, Susan Ghaderi
This paper addresses some trust-region methods equipped with nonmonotone strategies for solving nonlinear unconstrained optimization problems. More specifically, the importance of…
An optimal subgradient algorithm for large-scale bound-constrained convex optimization
Masoud Ahookhosh, Arnold Neumaier
This paper shows that the OSGA algorithm -- which uses first-order information to solve convex optimization problems with optimal complexity -- can be used to efficiently solve arb…
An optimal subgradient algorithm for large-scale convex optimization in simple domains
Masoud Ahookhosh, Arnold Neumaier
This paper shows that the optimal subgradient algorithm, OSGA, proposed in \cite{NeuO} can be used for solving structured large-scale convex constrained optimization problems. Only…
On efficiency of nonmonotone Armijo-type line searches
Masoud Ahookhosh, Susan Ghaderi
Monotonicity and nonmonotonicity play a key role in studying the global convergence and the efficiency of iterative schemes employed in the field of nonlinear optimization, where g…