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Convergence rate analysis of a subgradient averaging algorithm for distributed optimisation with different constraint sets.
Licio Romao
Kostas Margellos
Giuseppe Notarstefano
Antonis Papachristodoulou
Published in:
CDC (2019)
Keyphrases
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convergence rate
constraint sets
gradient method
learning rate
step size
convergence speed
numerical stability
simulated annealing
dynamic programming
np hard
cost function
optimal solution
mutation operator
primal dual
k means
convex hull
database systems
global optimum
global convergence
multi objective