• redbKIT

  • Referenced in 202 articles [sw12977]
  • Reduced basis methods for partial differential equations. An introduction. This book provides a basic introduction ... reduced basis (RB) methods for problems involving the repeated solution of partial differential equations (PDEs ... priori and a posteriori error analysis. Reduced basis methods for partial differential equations. An introduction...
  • RBniCS

  • Referenced in 12 articles [sw33333]
  • modelling techniques (and, in particular, certified reduced basis method and Proper Orthogonal Decomposition-Galerkin methods ... suited for an introductory course on reduced basis methods and reduced order modelling, thanks ... employed in several doctoral courses on ”Reduced Basis Methods for Computational Mechanics”. RBniCS can also ... several reduced order methods (such as reduced basis and proper orthogonal decomposition) and algorithms (such...
  • ARPACK

  • Referenced in 811 articles [sw04218]
  • When the matrix A is symmetric it reduces to a variant of the Lanczos process ... storage is required. A set of Schur basis vectors for the desired k-dimensional eigen...
  • Gfan

  • Referenced in 118 articles [sw04698]
  • marked reduced Gröbner bases of an ideal. Their union is a universal Gröbner basis...
  • pyMOR

  • Referenced in 15 articles [sw12978]
  • focus lies on the application of reduced basis methods to parameterized partial differential equations...
  • Exa-Dune

  • Referenced in 12 articles [sw32962]
  • well as the combination of local reduced basis multiscale methods and the multilevel Monte-Carlo...
  • darch

  • Referenced in 275 articles [sw11086]
  • darch package is build on the basis of the code from G. E. Hinton ... Hinton, S. Osindero, Y. W. Teh) and ”Reducing the dimensionality of data with neural networks...
  • RBmatlab

  • Referenced in 7 articles [sw12864]
  • operators of partial differential equations. (M2) Reduced basis generation routines providing a collection of algorithms ... generate, store and post-process reduced basis spaces. (M3) Implementations of reduced models providing efficient...
  • MOLPRO

  • Referenced in 22 articles [sw06125]
  • already with double-? or triple-? basis sets, thus reducing the computational effort for calculations...
  • CONOPT

  • Referenced in 166 articles [sw02791]
  • CONOPT is a generalized reduced-gradient (GRG) algorithm for solving large-scale nonlinear programs involving ... based on sequential linearized subproblems forms the basis for discussions of the implementation of critical...
  • PUMA

  • Referenced in 31 articles [sw22571]
  • basis functions in order improve the approximation properties of the model and to reduce...
  • DeepLLL

  • Referenced in 3 articles [sw10240]
  • polynomial time it computes a reduced basis with provable output quality. One early improvement...
  • PotLLL

  • Referenced in 3 articles [sw10241]
  • polynomial time it computes a reduced basis with provable output quality. One early improvement...
  • ASYNPLEX

  • Referenced in 8 articles [sw02174]
  • Candidates to enter the basis are tentatively selected using reduced costs which ... date. Later, the up-to-date reduced costs of the tentative candidates are calculated ... either discarded or accepted to enter the basis. The implementation of this algorithm...
  • EPDCOL

  • Referenced in 18 articles [sw00240]
  • with collocation in the space variable to reduce the problem to a system of ordinary ... equations. There are three principal components: the basis functions employed in the collocation; the method...
  • M4GB

  • Referenced in 3 articles [sw35027]
  • M4GB. An efficient Gröbner-basis algorithm. This paper introduces a new efficient algorithm for computing ... store already computed (tail-)reduced multiples of basis polynomials to prevent redundant work ... further redundant work in the processing of reducible monomials. Furthermore, instead of translating the reduction...
  • PDE App

  • Referenced in 1 article [sw32482]
  • acoustic duct models. The Static Condensation Reduced Basis Element (SCRBE) partial differential equation (PDE) numerical ... computational decompositions; we emphasize in this paper reduced port spaces and QoI evaluation techniques, especially...
  • CHARMS

  • Referenced in 36 articles [sw02957]
  • solvers can be of great value in reducing the often high computational cost of simulations ... principle of our approach is to refine basis functions, not elements. This removes a number...
  • Oberon

  • Referenced in 20 articles [sw01222]
  • direct successor of Pascal, and simultaneously to reduce its complexity. Its principal new feature ... construction of new data types on the basis of existing ones and to relate them...
  • Matlab-RBF-Toolbox

  • Referenced in 7 articles [sw32055]
  • typically poorly conditioned. The Matlab Radial Basis Function toolbox features a regularization method ... symmetry exploitation for the purpose of reducing flop counts of the associated numerical linear algebra...