• Ipopt

  • Referenced in 648 articles [sw04808]
  • software package for large-scale ​nonlinear optimization. It is designed to find (local) solutions...
  • MINOS

  • Referenced in 442 articles [sw05095]
  • MINOS is a large-scale optimization system, for the solution of sparse linear and nonlinear ... factors of the basis matrix), automatic scaling of linear contraints, and automatic estimation of some...
  • LANCELOT

  • Referenced in 302 articles [sw00500]
  • LANCELOT. A Fortran package for large-scale nonlinear optimization (Release A). LANCELOT is a software ... package for solving large-scale nonlinear optimization problems. This book provides a coherent overview ... book is primarily concerned with a specific optimization package, the issues discussed have much wider ... design and implementation of large-scale optimization algorithms...
  • SNOPT

  • Referenced in 523 articles [sw02300]
  • SNOPT: An SQP algorithm for large-scale constrained optimization. Sequential quadratic programming (SQP) methods have...
  • L-BFGS

  • Referenced in 737 articles [sw03229]
  • Fortran subroutines for large-scale bound-constrained optimization. L-BFGS-B is a limited-memory...
  • CUTE

  • Referenced in 221 articles [sw14681]
  • environment for testing small- and large-scale nonlinear optimization algorithms. Although many of these facilities...
  • LBFGS-B

  • Referenced in 342 articles [sw05142]
  • Fortran subroutines for large-scale bound-constrained optimization L-BFGS-B is a limited-memory...
  • NLopt

  • Referenced in 92 articles [sw11789]
  • interface for a number of different free optimization routines available online as well as original ... changing one parameter. Support for large-scale optimization (some algorithms scalable to millions of parameters...
  • CG_DESCENT

  • Referenced in 122 articles [sw04813]
  • comparisons with other methods for large-scale unconstrained optimization are given...
  • L-BFGS-B

  • Referenced in 177 articles [sw01234]
  • Fortran subroutines for large-scale bound-constrained optimization. L-BFGS-B is a limited-memory...
  • SCALCG

  • Referenced in 102 articles [sw08453]
  • SCALCG – Scaled conjugate gradient algorithms for unconstrained optimization. In this work we present and analyze ... restart philosophy of Beale–Powell. The parameter scaling the gradient is selected as spectral gradient ... unconstrained optimization test problems, show that this new scaled conjugate gradient algorithm substantially outperforms...
  • LDGB

  • Referenced in 37 articles [sw07134]
  • limited memory bundle method for large-scale nonsmooth optimization Many practical optimization problems involve nonsmooth ... current general nonsmooth optimization methods is efficient in large-scale settings. In this article ... based bundle method for nonsmooth large-scale optimization. In addition, we introduce...
  • Pyomo

  • Referenced in 46 articles [sw04910]
  • complete and comprehensive guide to Pyomo (Python optimization modeling objects) for beginning and advanced modelers ... package for formulating and solving large-scale optimization problems. The software extends the modeling approach...
  • SVMlight

  • Referenced in 261 articles [sw04076]
  • problem of learning a ranking function. The optimization algorithms used in SVMlight are described ... large-scale transductive SVMs. The algorithm proceeds by solving a sequence of optimization problems lower...
  • ACCPM

  • Referenced in 59 articles [sw06707]
  • package for solving large scale convex optimization problems. The code is an implementation...
  • UFO

  • Referenced in 37 articles [sw04719]
  • universal functional optimization (UFO) system is an interactive modular system for solving both ... dense medium-size and sparse large-scale optimization problems. The UFO system can be used...
  • SPG

  • Referenced in 74 articles [sw00897]
  • Algorithm 813: SPG -- software for convex-constrained optimization: Fortran 77 software implementing the SPG method ... gradient algorithm for solving large-scale convex-constrained optimization problems. It combines the classical projected...
  • OPTI

  • Referenced in 30 articles [sw15090]
  • there are a number of open source optimization solvers that enable one to solve ... linear and nonlinear, medium and large-scale optimization problems, only a few contain useable...
  • COPS

  • Referenced in 36 articles [sw08461]
  • development of COPS, a large-scale Constrained Optimization Problem Set. The primary purpose of this...
  • SYMPHONY

  • Referenced in 35 articles [sw04718]
  • bound technique for solving large-scale discrete optimization problems (DOPs). In BCP, both cuts ... undertake the solution of very large-scale DOPs; however, it also leads to interesting implementational ... called SYMPHONY (Single- or Multi-Process Optimization over Networks), address these challenges. They ... problem-setting. To develop a full-scale BCP algorithm, the user has only to specify...