Login / Signup

An efficient sparse conjugate gradient solver using a Beneš permutation network.

Gary C. T. ChowPaul GrigorasPavel BurovskiyWayne Luk
Published in: FPL (2014)
Keyphrases
  • conjugate gradient
  • training algorithm
  • convergence rate
  • high dimensional
  • least squares
  • markov random field
  • back propagation
  • regression model
  • learning rate
  • levenberg marquardt
  • conjugate gradient algorithm