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Sequential Randomized Algorithms for Convex Optimization in the Presence of Uncertainty.
Mohammadreza Chamanbaz
Fabrizio Dabbene
Roberto Tempo
Venkatakrishnan Venkataramanan
Qing-Guo Wang
Published in:
IEEE Trans. Autom. Control. (2016)
Keyphrases
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convex optimization
randomized algorithms
approximation algorithms
lower bound
interior point methods
total variation
convex optimization problems
primal dual
randomized algorithm
worst case
convex relaxation
practical problems
reinforcement learning
norm minimization
np hard
special case
evolutionary algorithm