• GAMS

  • Referenced in 823 articles [sw04978]
  • system is especially useful with large, complex problems. GAMS is available for use on personal ... user to concentrate on the modeling problem by making the setup simple. The system takes ... especially useful for handling large, complex, one-of-a-kind problems which may require many...
  • ARPACK

  • Referenced in 770 articles [sw04218]
  • Fortran77 subroutines designed to solve large scale eigenvalue problems. The package is designed to compute ... matrix A. It is most appropriate for large sparse or structured matrices A where structured ... technique that is suitable for large scale problems. For many standard problems, a matrix factorization ... needed. ARPACK software is capable of solving large scale symmetric, nonsymmetric, and generalized eigenproblems from...
  • L-BFGS

  • Referenced in 692 articles [sw03229]
  • limited-memory algorithm for solving large nonlinear optimization problems subject to simple bounds ... difficult to obtain, or for large dense problems. L-BFGS-B can also be used...
  • LBFGS-B

  • Referenced in 287 articles [sw05142]
  • limited-memory algorithm for solving large nonlinear optimization problems subject to simple bounds ... difficult to obtain, or for large dense problems. L-BFGS-B can also be used...
  • PVM

  • Referenced in 305 articles [sw04273]
  • single large parallel computer. Thus large computational problems can be solved more cost effectively...
  • SPGL1

  • Referenced in 152 articles [sw08365]
  • SPGL1: A solver for large-scale sparse reconstruction: Probing the Pareto frontier for basis pursuit ... solutions. The basis pursuit problem seeks a minimum one-norm solution of an underdetermined least ... algorithm is suitable for problems that are large scale and for those that ... that the method scales well to large problems...
  • ISOGAT

  • Referenced in 268 articles [sw00457]
  • MATLAB code for solving elliptic diffusion-type problems, including Poisson’s equation on single patch ... apparent. It is not intended for large-scale problems...
  • KNITRO

  • Referenced in 165 articles [sw00490]
  • essential feature. KNITRO is designed for large problems with dimensions running into the hundred thousands...
  • SVMlight

  • Referenced in 257 articles [sw04076]
  • objects as accurately as possible. Such ranking problems naturally occur in applications like search engines ... large-scale transductive SVMs. The algorithm proceeds by solving a sequence of optimization problems lower ... been used on a large range of problems, including text classification [Joachims, 1999c][Joachims, 1998a...
  • Miranda

  • Referenced in 148 articles [sw04986]
  • system more suitable for tackling large problems Miranda adds to this foundation (i) a polymorphic...
  • L-BFGS-B

  • Referenced in 152 articles [sw01234]
  • limited-memory algorithm for solving large nonlinear optimization problems subject to simple bounds ... difficult to obtain, or for large dense problems. L-BFGS-B can also be used...
  • Bonmin

  • Referenced in 180 articles [sw04766]
  • methods and software for solving large-scale problems. Moreover, both fundamental building blocks, namely mixed...
  • GAUSS

  • Referenced in 114 articles [sw00322]
  • complicated analysis or to work on large problems. Whatever mathematical tool or language...
  • LANCELOT

  • Referenced in 276 articles [sw00500]
  • software package for solving large-scale nonlinear optimization problems. This book provides a coherent overview ... proposal for a standard input for problems and the LANCELOT optimization package. Although the book ... implications for the design and implementation of large-scale optimization algorithms...
  • ALBERTA

  • Referenced in 166 articles [sw01061]
  • become the bottle-neck while solving large scale problems. So we develop a parallel adaptive...
  • Adam

  • Referenced in 187 articles [sw22205]
  • well suited for problems that are large in terms of data and/or parameters. The method ... also appropriate for non-stationary objectives and problems with very noisy and/or sparse gradients...
  • LIPSOL

  • Referenced in 79 articles [sw04712]
  • LIPSOL is designed to solve relatively large problems. It utilizes Matlab’s sparse-matrix data ... existing, efficient Fortran codes for solving large, sparse, symmetric positive definite linear systems. Specifically, LIPSOL ... adequate speed for solving moderately large-scale problems even in the presence of overhead induced...
  • NPSOL

  • Referenced in 147 articles [sw07420]
  • derivatives. NPSOL is not intended for large sparse problems, but there is no fixed limit...
  • CGS

  • Referenced in 297 articles [sw08225]
  • systems, at least for problems that are not too large, and when high accuracy...
  • TRON

  • Referenced in 108 articles [sw04714]
  • method for the solution of large bound-constrained optimization problems. TRON uses a gradient projection ... minor iterates, even for problems with a large number of variables. As a result TRON ... remarkably efficient at solving large bound-constrained optimization problems...