• ACGSSV

  • Referenced in 11 articles [sw20836]
  • very well known acceleration scheme of conjugate gradient algorithms. The global convergence of the algorithm ... scaling memoryless BFGS update, endowed with the acceleration scheme, is top performer versus CG_DESCENT...
  • FEMOEA

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

  • Referenced in 1 article [sw32434]
  • Surface Methodology-Differential Evolution hybridization for convergence acceleration. Code is written using standard Fortran...
  • 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...
  • 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...
  • 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...
  • BoTorch

  • Referenced in 12 articles [sw40383]
  • approach is backed by novel theoretical convergence results and made practical by a distinctive algorithmic ... foundation that leverages fast predictive distributions, hardware acceleration, and deterministic optimization. We also propose...
  • Aspic

  • Referenced in 24 articles [sw04954]
  • Combining widening and acceleration in linear relation analysis. Linear Relation Analysis ... widening operator to enforce the convergence of fixpoint computations. While the approximation due to widening...
  • GADMM

  • Referenced in 29 articles [sw12640]
  • Bertsekas is an efficient and simple acceleration scheme of ADMM. In this paper, we take ... show the worst-case O(1/k) convergence rate measured by the iteration complexity k represents...
  • GRAPE

  • Referenced in 1 article [sw19877]
  • coarse-fine sequencing is employed to accelerate numerical convergence. GRAPE program control cards and input...
  • LOQUAT

  • Referenced in 7 articles [sw40039]
  • boundaries with arbitrary geometry. LOQUAT employs GPU acceleration technique to greatly increase the computational efficiency ... Numerical examples show that the solver is convergent, stable and highly efficient. With a mainstream...
  • NSFnets

  • Referenced in 27 articles [sw42059]
  • accuracy of the NSFnet simulation results upon convergence of the loss function, verifying that NSFnets ... computing the weights dynamically to accelerate training and enhance accuracy. Our results suggest that...
  • ADD-OPT

  • Referenced in 3 articles [sw25783]
  • algorithm, ADD-OPT (Accelerated Distributed Directed Optimization), achieves the best known convergence rate for this...
  • Levenberg-Marquardt

  • Referenced in 0 articles [sw05284]
  • steepest descent method, and adopted its accelerated convergence in the minimum vicinity from the Newton...
  • FDRSeg

  • Referenced in 19 articles [sw16730]
  • uniform sense at optimal minimax convergence rates up to a log-factor. The latter ... FDRSeg can be efficiently computed by an accelerated dynamic program; its computational complexity is shown...
  • cuIBM

  • Referenced in 2 articles [sw24821]
  • cuIBM - A GPU-accelerated Immersed Boundary Method. A projection-based immersed boundary method is dominated ... includes validation and a convergence study of the GPU-accelerated IBM, and various optimizations...
  • DENCLUE

  • Referenced in 12 articles [sw28734]
  • extra costs. We prove that the procedure converges exactly towards a local maximum by reducing ... needs much less iterations and can be accelerated by sampling based methods with sacrificing only...
  • DibaP

  • Referenced in 16 articles [sw08343]
  • Meyerhenke, B. Monien, S. Schamberger, Accelerating shape optimizing load balancing for parallel FEM simulations ... paper, besides proving that Bubble-FOS/C converges towards a local optimum of a potential ... Bubble-FOS/C, DibaP shows a considerable acceleration, while retaining the positive properties...