
Ipopt
 Referenced in 648 articles
[sw04808]
 software package for largescale nonlinear optimization. It is designed to find (local) solutions...

MINOS
 Referenced in 442 articles
[sw05095]
 MINOS is a largescale 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 largescale nonlinear optimization (Release A). LANCELOT is a software ... package for solving largescale 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 largescale optimization algorithms...

SNOPT
 Referenced in 523 articles
[sw02300]
 SNOPT: An SQP algorithm for largescale constrained optimization. Sequential quadratic programming (SQP) methods have...

LBFGS
 Referenced in 737 articles
[sw03229]
 Fortran subroutines for largescale boundconstrained optimization. LBFGSB is a limitedmemory...

CUTE
 Referenced in 221 articles
[sw14681]
 environment for testing small and largescale nonlinear optimization algorithms. Although many of these facilities...

LBFGSB
 Referenced in 342 articles
[sw05142]
 Fortran subroutines for largescale boundconstrained optimization LBFGSB is a limitedmemory...

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 largescale optimization (some algorithms scalable to millions of parameters...

CG_DESCENT
 Referenced in 122 articles
[sw04813]
 comparisons with other methods for largescale unconstrained optimization are given...

LBFGSB
 Referenced in 177 articles
[sw01234]
 Fortran subroutines for largescale boundconstrained optimization. LBFGSB is a limitedmemory...

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 largescale nonsmooth optimization Many practical optimization problems involve nonsmooth ... current general nonsmooth optimization methods is efficient in largescale settings. In this article ... based bundle method for nonsmooth largescale 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 largescale 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 ... largescale 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 mediumsize and sparse largescale optimization problems. The UFO system can be used...

SPG
 Referenced in 74 articles
[sw00897]
 Algorithm 813: SPG  software for convexconstrained optimization: Fortran 77 software implementing the SPG method ... gradient algorithm for solving largescale convexconstrained 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 largescale optimization problems, only a few contain useable...

COPS
 Referenced in 36 articles
[sw08461]
 development of COPS, a largescale Constrained Optimization Problem Set. The primary purpose of this...

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