• EDGE

  • Referenced in 17 articles [sw00228]
  • multi-stage Runge-Kutta scheme. To accelerate convergence, residual smoothing and a multi-grid technique...
  • SQUAREM

  • Referenced in 12 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...
  • MIBPB

  • Referenced in 39 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...
  • MarkovWZ

  • Referenced in 5 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...
  • 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...
  • EPSfun

  • Referenced in 8 articles [sw20258]
  • simplified topological ε-algorithms for accelerating the convergence of sequences of elements of a vector...
  • 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 2 articles [sw28326]
  • carefully chosen polynomial spectral transformation to accelerate convergence of the Lanczos method when computing eigenvalues...
  • RBFOpt

  • Referenced in 2 articles [sw28416]
  • noisy but less expensive oracle to accelerate convergence to the optimum of the exact oracle...
  • HDLASQ

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

  • Referenced in 3 articles [sw19648]
  • stabilize the solution process and accelerate its convergence. In addition, the field quantities of interest...
  • QDPA

  • Referenced in 6 articles [sw12759]
  • needed. To improve global convergence, the QDPA uses subspace acceleration, and deflation of found dominant...
  • ERKALE

  • Referenced in 1 article [sw26730]
  • exchange‐correlation functionals. ERKALE includes modern convergence accelerators such as Broyden and ADIIS...
  • DRSCRO

  • Referenced in 1 article [sw25692]
  • obtain a super molecule for accelerating convergence. For promoting the intensification capability, in the global...
  • BayesBinMix

  • Referenced in 2 articles [sw19815]
  • chains are run in parallel and accelerate the convergence to the target posterior distribution. Identifiability...
  • FEMOEA

  • Referenced in 2 articles [sw19640]
  • local search method which accelerates the convergence of the population towards the Pareto-front...
  • REACTOR

  • Referenced in 2 articles [sw02965]
  • scheme for acceleration of inner and outer iterations convergence for the neutron and gamma-rays ... scheme for acceleration of inner and outer iterations convergence consistent with the weighted diamond differencing ... approximation. The outer iterations acceleration technique is described for anisotropic scattering neutron thermalization problems...
  • PESTO

  • Referenced in 10 articles [sw20864]
  • that converges in the worst-case twice as fast as the standard accelerated proximal gradient...
  • ParNes

  • Referenced in 12 articles [sw08366]
  • guaranteed to be almost always locally linearly convergent. As in the case of the algorithm ... Cand`es, we rely on Nesterov’s accelerated proximal gradient method, which takes $O(sqrt ... provably optimal manner. The aforementioned linear convergence is in part due to this modification...