Stochastic Matrix-Free Equilibration.
Steven DiamondStephen P. BoydPublished in: J. Optim. Theory Appl. (2017)
Keyphrases
- hopfield neural network
- monte carlo
- stochastic optimization
- singular value decomposition
- low rank
- coefficient matrix
- matrix representation
- stochastic programming
- data sets
- multiscale
- artificial intelligence
- covariance matrix
- linear programming
- stochastic model
- stochastic processes
- linear algebra
- learning automata
- image processing
- markov processes
- learning algorithm
- stochastic approximation
- machine learning
- data mining