• EDGE

  • Referenced in 21 articles [sw00228]
  • multi-stage Runge-Kutta scheme. To accelerate convergence, residual smoothing and a multi-grid technique...
  • MIBPB

  • Referenced in 51 articles [sw08106]
  • able to deliver the second-order convergence, that is, the accuracy increases four times when ... reliability. This work further accelerates the rate of convergence of linear equation systems resulting from...
  • SQUAREM

  • Referenced in 14 articles [sw12282]
  • accelerating fixed-point iterations. Algorithms for accelerating the convergence of slow, monotone sequences from smooth ... used to accelerate any smooth, linearly convergent acceleration scheme. A tutorial style introduction to this...
  • EPSfun

  • Referenced in 17 articles [sw20258]
  • simplified topological ε-algorithms for accelerating the convergence of sequences of elements of a vector...
  • MarkovWZ

  • Referenced in 6 articles [sw11556]
  • Markov and were used for convergence-acceleration of infinite series already in 1890. It turns ... give a new algorithmic procedure for convergence-acceleration. The authors introduce a Maple package Markov...
  • NSU3D

  • Referenced in 14 articles [sw39789]
  • coarse agglomerated mesh levels to accelerate the convergence of the overall solution procedure based...
  • SGDR

  • Referenced in 12 articles [sw30752]
  • optimization to improve the rate of convergence in accelerated gradient schemes to deal with...
  • Algorithm 38

  • Referenced in 7 articles [sw25819]
  • Algorithm 38 two computer codes for convergence acceleration. This paper describes two computer codes...
  • STOP

  • Referenced in 6 articles [sw07849]
  • Thoroughly optimized numerical techniques, in particular, convergence accelerators and suitable Gauss quadratures, are used...
  • RBFOpt

  • Referenced in 6 articles [sw28416]
  • noisy but less expensive oracle to accelerate convergence to the optimum of the exact oracle...
  • PESTO

  • Referenced in 33 articles [sw20864]
  • that converges in the worst-case twice as fast as the standard accelerated proximal gradient...
  • turboEM

  • Referenced in 2 articles [sw15931]
  • package turboEM: A Suite of Convergence Acceleration Schemes for EM, MM and other fixed-point ... algorithms. Algorithms for accelerating the convergence of slow, monotone sequences from smooth, contraction mapping such ... used to accelerate any smooth, linearly convergent acceleration scheme. A tutorial style introduction to this...
  • Cucheb

  • Referenced in 3 articles [sw28326]
  • carefully chosen polynomial spectral transformation to accelerate convergence of the Lanczos method when computing eigenvalues...
  • QDPA

  • Referenced in 10 articles [sw12759]
  • needed. To improve global convergence, the QDPA uses subspace acceleration, and deflation of found dominant...
  • comana

  • Referenced in 4 articles [sw19648]
  • stabilize the solution process and accelerate its convergence. In addition, the field quantities of interest...
  • HDLASQ

  • Referenced in 3 articles [sw10261]
  • modifications to certain shift strategies that accelerate the convergence for most bidiagonal matrices. These techniques...
  • BayesBinMix

  • Referenced in 3 articles [sw19815]
  • chains are run in parallel and accelerate the convergence to the target posterior distribution. Identifiability...
  • FEMOEA

  • Referenced in 3 articles [sw19640]
  • local search method which accelerates the convergence of the population towards the Pareto-front...
  • nlpdegm

  • Referenced in 7 articles [sw39175]
  • conditions. We also show convergence for a Nesterov-type accelerated variant provided one part ... convex. We show the applicability of the accelerated algorithm to examples of inverse problems with ... state-constrained optimal control problems, where convergence can be guaranteed after introducing an (arbitrary small...
  • gradDescentR

  • Referenced in 1 article [sw38962]
  • optimization SGD-based algorithm to accelerates the process toward converging by reducing the gradient. Semi ... combine GD and SGD to accelerates the process toward converging by choosing ... optimization algorithm similarly SVRG to accelerates the process toward converging by accumulated stochastic information. Stochastic ... SARAH practical variant algorithm to accelerates the process toward converging provides a possibility of earlier...