• ALCON

  • Referenced in 35 articles [sw05315]
  • iteration the Gauss-Newton method is used where the QR-factorization of the Jacobian ... gebraic system of equations (Con)tinuation method. Pathfollowing method for parameter-dependent nonlinear systems...
  • OSQP

  • Referenced in 11 articles [sw26960]
  • quadratic programs based on the alternating direction method of multipliers, employing a novel operator splitting ... division-free once an initial matrix factorization is carried out, making it suitable for real ... from the algorithm iterates. The method also supports factorization caching and warm starting, making ... than competing interior point methods, and sometimes much more when factorization caching or warm start...
  • SuiteSparseQR

  • Referenced in 27 articles [sw07348]
  • sparse QR factorization package based on the multifrontal method. Within each frontal matrix, LAPACK ... using Heath’s method. While Heath’s method is not always exact ... sufficiently large problems, the resulting sparse QR factorization obtains a substantial fraction of the theoretical...
  • DEVEX

  • Referenced in 99 articles [sw08378]
  • code. Pivot column and row selection methods used by the Devex code since ... process, the author introduces dynamic column weighting factors as a means of estimating gradients ... iteration advantages over the standard simplex methods used today. The final illustration highlights why these...
  • SPLATT

  • Referenced in 6 articles [sw30093]
  • tools for sparse tensor factorization. SPLATT has a fast, parallel method of multiplying a matricide ... kernel in tensor factorization methods. SPLATT uses a novel data structure that exploits the sparsity...
  • SYMMGRP.MAX

  • Referenced in 71 articles [sw10756]
  • based on an adaptation of the method. This procedure is translated into a MACSYMA program ... determining equations which is free of redundant factors, repetitions and trivial differential consequences...
  • iSAM2

  • Referenced in 6 articles [sw34747]
  • based interpretation of incremental sparse matrix factorization methods, afforded by the recently introduced Bayes tree ... square root information matrix by applying matrix factorization updates. We analyze the matrix updates ... that insight, we present a new method to incrementally change the variable ordering which...
  • FACTORIZE

  • Referenced in 3 articles [sw10039]
  • suite of high-performance factorization methods for the direct solution of the linear system ... meta-algorithm that selects the best factorization method for a particular matrix, whether sparse ... MATLAB users to find the best factorization method on their own can lead to suboptimal ... address these issues, an object-oriented FACTORIZE method is presented. Via simple-to-use operator...
  • ILUT

  • Referenced in 137 articles [sw08734]
  • factorization preconditioners. The first uses a symbolic factorization approach in which a level of fill ... certain threshold. The second class of methods consists of techniques derived from modifications...
  • CDMA/OVSF

  • Referenced in 12 articles [sw03215]
  • constant factor of the optimum. Then we give a distributed method such that the minimum ... within a constant factor of the optimum. A distributed method that can approximate both...
  • zoo

  • Referenced in 38 articles [sw10603]
  • ordered observations). An S3 class with methods for totally ordered indexed observations. It is particularly ... irregular time series of numeric vectors/matrices and factors. zoo’s key design goals are independence ... with ts and base R by providing methods to extend standard generics...
  • LDL

  • Referenced in 15 articles [sw00507]
  • short, concise routines for factorizing symmetric positive-definite sparse matrices, with some applicability to symmetric ... possible, including an elegant method of sparse symmetric factorization that computes the factorization...
  • DCL

  • Referenced in 24 articles [sw11087]
  • simple method for forecasting IBNR and RBNS claims. A simple relationship between development factors allows...
  • TNPACK

  • Referenced in 39 articles [sw00970]
  • large number of variables. Truncated Newton methods allow approximate, rather than exact, solutions ... Newton equations. The preconditioner M is factored in PCG using a sparse modified Cholesky factorization ... this paper we briefly describe the method and provide details for program usage...
  • ILUM

  • Referenced in 62 articles [sw07244]
  • ILUs based on threshold techniques. The ILUM factorization described in this paper is in this ... potential parallelism.par The emphasis is on methods that deal specifically with general unstructured sparse matrices...
  • MINMOD

  • Referenced in 11 articles [sw16356]
  • have proposed a method for measuring these two factors, using computer analysis of a frequently...
  • IRMHD

  • Referenced in 4 articles [sw08878]
  • alternating direction implicit), the approximate factorization method and Line–Gauss–Seidel or similar iteration procedures...
  • TSPACK

  • Referenced in 17 articles [sw00982]
  • automatic selection of tension factors. It serves both as a method for data fitting with...
  • Golem95

  • Referenced in 24 articles [sw00371]
  • physics. Solution method: Tensor integrals are represented in terms of form factors...
  • SETHEO

  • Referenced in 119 articles [sw00707]
  • system is based on the connection method and is proved to be sound and complete ... proof procedure is realized as a WAM, factorization, lemma generation and the application of proof...