Direct Synthesis of Iterative Algorithms with Bounds on Achievable Worst-Case Convergence Rate.
Laurent LessardPeter J. SeilerPublished in: CoRR (2019)
Keyphrases
- convergence rate
- iterative algorithms
- worst case
- average case
- lower bound
- upper bound
- step size
- convergence speed
- error bounds
- learning rate
- global convergence
- primal dual
- dual formulation
- approximation algorithms
- worst case bounds
- np hard
- mistake bound
- gradient method
- iterative methods
- number of iterations required
- mutation operator
- numerical stability
- loss bounds
- learning algorithm
- wavelet neural network
- faster convergence rate
- computational complexity
- lp norm
- machine learning