A Support Function Based Algorithm for Optimization with Eigenvalue Constraints.

Published in: SIAM J. Optim. (2017)

Keyphrases

optimization algorithm
multiple constraints
experimental evaluation
learning algorithm
constrained optimization
detection algorithm
cost function
segmentation algorithm
optimization model

computational complexity
optimization process
times faster
probabilistic model
clustering method
objective function
optimal solution
matching algorithm
dynamic programming

np hard
significant improvement
k means
similarity measure
linear programming
particle swarm optimization
stochastic gradient
evolution strategy

lagrange multipliers
penalty function
neural network
preprocessing
space complexity
expectation maximization
high accuracy
search space