Optimal subgradient algorithms for large-scale convex optimization in simple domains.

Masoud Ahookhosh Arnold Neumaier

Published in: Numer. Algorithms (2017)

Keyphrases

convex optimization
convex optimization problems
interior point
worst case
low rank
interior point methods
total variation
optimization methods
learning algorithm
convex programming
augmented lagrangian
linear programming
column generation
primal dual
convex relaxation
linear program
computational complexity