• Adam

  • Referenced in 948 articles [sw22205]
  • Adam: A Method for Stochastic Optimization. We introduce Adam, an algorithm for first-order gradient ... adaptive estimates of lower-order moments. The method is straightforward to implement, is computationally efficient ... terms of data and/or parameters. The method is also appropriate for non-stationary objectives ... other stochastic optimization methods. Finally, we discuss AdaMax, a variant of Adam based...
  • LSODE

  • Referenced in 135 articles [sw04374]
  • approximated by difference quotients. It uses Adams methods (predictor-corrector) in the nonstiff case...
  • CVODES

  • Referenced in 35 articles [sw04946]
  • also available for CVODES. Both integration methods (Adams-Moulton and BDF) and the corresponding nonlinear...
  • STL-10 dataset

  • Referenced in 26 articles [sw39164]
  • developing more scalable unsupervised learning methods. Reference: Adam Coates, Honglak Lee, Andrew...
  • CVODE

  • Referenced in 65 articles [sw04947]
  • variable-step multistep methods. For nonstiff problems, CVODE includes the Adams-Moulton formulas, with ... date). When using a Krylov method as the linear solver, the iteration is an Inexact...
  • LSODA

  • Referenced in 30 articles [sw27217]
  • automatically selects between nonstiff (Adams) and stiff (BDF) methods. It uses the nonstiff method initially...
  • GEARBI

  • Referenced in 10 articles [sw09630]
  • nonstiff systems, using BDF and Adams methods. The unique feature of GEARBI is that...
  • FDE12

  • Referenced in 14 articles [sw22502]
  • implementation of the predictor-corrector method of Adams-Bashforth-Moulton described in [1]. Convergence...
  • ADAM

  • Referenced in 8 articles [sw21957]
  • ADAM: analysis of discrete models of biological systems using computer algebra. BACKGROUND: Many biological systems ... hard to install. Efficient analysis methods that are accessible to modelers and easy ... provides this and other analysis methods for discrete models. ADAM converts several discrete model types ... accessible efficient analysis tools. ADAM provides analysis methods based on mathematical algorithms...
  • PVODE

  • Referenced in 8 articles [sw04325]
  • coefficient forms of the Adams and Backward Differentiation Formula methods. The linear systems that must...
  • Adams

  • Referenced in 50 articles [sw06593]
  • motion analysis software in the world. Adams helps engineers to study the dynamics of moving ... their products. Traditional ”build and test” design methods are expensive, time consuming, and impossible ... highly nonlinear motion of full mechanical systems. Adams multibody dynamics software enables engineers to easily...
  • Dftatom

  • Referenced in 3 articles [sw08846]
  • asymptotic forms, Runge-Kutta, and implicit Adams methods. Eigenfunctions are determined by a combination...
  • Symmetric NMTF

  • Referenced in 1 article [sw42109]
  • adaptive moment estimation method (ADAM). For each of these methods we offer a software implementation ... sufficient computing time all four methods perform satisfactorily and ADAM most often yields the best...
  • Lasagne

  • Referenced in 7 articles [sw20936]
  • auxiliary classifiers. Many optimization methods including Nesterov momentum, RMSprop and ADAM. Freely definable cost function...
  • MBT-optimizer

  • Referenced in 2 articles [sw41981]
  • methods such as MMT, NAG, Adagrad, Adadelta, RMSProp, Adam and Adamax...
  • electoral

  • Referenced in 1 article [sw41304]
  • system scores. Implemented highest averages allocating seats methods are D’Hondt, Webster, Danish, Imperiali, Hill ... Lague, equal proportions and Adams. Implemented largest remainders allocating seats methods are Hare, Droop, Hangenbach...
  • BOUT

  • Referenced in 8 articles [sw06564]
  • Application of parallel implicit methods to edge-plasma numerical simulations. A description is given ... implicit Newton-Krylov solver compared to an Adams predictor corrector. The turbulent transport coefficients obtained...
  • OptimalRerandExpDesigns

  • Referenced in 1 article [sw41808]
  • variance-covariance matrices. Details of the method can be found in ”Optimal Rerandomization ... Criterion that Provides Insurance Against Failed Experiments” Adam Kapelner, Abba M. Krieger, Michael Sklar...
  • ADaM

  • Referenced in 1 article [sw10693]
  • scientists and engineers. Algorithm Development and Mining (ADaM) is a data mining toolkit designed ... provides classification, clustering and association rule mining methods that are common to many data mining ... used in several diverse data mining applications. ADaM has also been used in conjunction with...