• symrcm

  • Referenced in 376 articles [sw08566]
  • ordering. r = symrcm(S) returns the symmetric reverse Cuthill-McKee ordering of S. This ... probably takes less time to compute than...
  • revolve

  • Referenced in 67 articles [sw00802]
  • checkpointing for the reverse or adjoint mode of computational differentiation. This is an excellent paper ... basic form for reverse differentiation for computing the gradient of a scalar valued function, which...
  • Theseus

  • Referenced in 8 articles [sw19037]
  • Theseus: a high level language for reversible computing. Programming in a reversible language remains “dierent...
  • CLIFFORD

  • Referenced in 78 articles [sw00131]
  • Graßmann and Clifford algebras. It can compute with quaternions, octonions, and matrices with entries ... Clifford bases can be used. Properties of reversion in undotted and dotted wedge bases...
  • OpenAD/F

  • Referenced in 21 articles [sw09380]
  • basic block preaccumulation and call graph reversal. Unlike most other automatic differentiation tools, Open/ADF uses ... implemented transformation algorithms allow efficient derivative computations using locally optimized cross-country sequences of vertex ... adjoint codes, Open/ADF supports various code reversal schemes with hierarchical checkpointing at the subroutine level ... considered. OpenAD/F’s reverse mode is applied to compute sensitivities of some of the model...
  • SONEST

  • Referenced in 33 articles [sw24351]
  • computed by the calling program via a reverse communication interface. The algorithms are based...
  • CONEST

  • Referenced in 33 articles [sw24352]
  • computed by the calling program via a reverse communication interface. The algorithms are based...
  • ARACNE

  • Referenced in 32 articles [sw17200]
  • complex pathologic phenotypes. Existing computational methods for the genome-wide ”reverse engineering” of such networks...
  • TAMC

  • Referenced in 71 articles [sw07198]
  • determination of singular vectors. The adjoint model computes the gradient of a cost function with ... special case of differentiation of algorithms in reverse mode, where the dependent function...
  • ROSS

  • Referenced in 4 articles [sw22032]
  • algorithm for shared memory multiprocessors, reverse computation and the introduction of kernel processes...
  • libMC

  • Referenced in 43 articles [sw06615]
  • opposed to gradients) need to be computed. This can be done in either ... ways: the forward mode or the reverse mode of automatic differentiation. In the forward mode...
  • P-SPARSLIB

  • Referenced in 33 articles [sw01455]
  • portable FORTRAN routine for sparse matrix computation. It emphasizes iterative techniques ... parallel iterative package and uses reverse communication mechanism. Finally examples of the use of iterative...
  • DiffSharp

  • Referenced in 24 articles [sw16033]
  • forward and reverse AD up to any level, meaning that you can compute exact higher...
  • cddplus

  • Referenced in 11 articles [sw04443]
  • used for the reverse operation (i.e. convex hull computation) if one run cdd with ”hull...
  • FGMRES

  • Referenced in 19 articles [sw04415]
  • serial, shared-memory, and distributed-memory computers. For the sake of portability, simplicity, flexibility ... reverse communication mechanism for the matrix-vector product, the preconditioning, and the dot-product computations...
  • Janet

  • Referenced in 35 articles [sw07776]
  • Rehm 2001/2002], [Cohn 1985] is implemented to compute the Jacobson normal form of a matrix ... available in Janet are the degree reverse lexicographical one, the pure lexicographical one, block orderings ... avoid unnecessary reductions during involutive basis computations...
  • cdd

  • Referenced in 109 articles [sw00114]
  • capability of handling the dual (reverse) problem without any transformation of data. The dual problem ... this manual, the computation can be done in straightforward manner. There is one assumption...
  • GMRES

  • Referenced in 16 articles [sw00365]
  • serial, shared memory and distributed memory computers. For the sake of portability, simplicity, flexibility ... reverse communication mechanism for the matrix-vector product, the preconditioning and the dot product computations...
  • Odyssee

  • Referenced in 32 articles [sw12533]
  • method to perform data assimilation requires the computation of the gradient of a cost function ... fortran program. The usual drawback in the reverse automatic differentiation method is the storage requirement...
  • FEAST

  • Referenced in 78 articles [sw04025]
  • from explicit orthogonalization procedures, and its main computational tasks consist of solving very few inner ... general purpose FEAST solver package includes both reverse communication interfaces and ready to use predefined...