
LANCELOT
 Referenced in 293 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 ... LANCELOT optimization package. Although the book is primarily concerned with a specific optimization package ... design and implementation of largescale optimization algorithms...

Ipopt
 Referenced in 611 articles
[sw04808]
 software package for largescale nonlinear optimization. It is designed to find (local) solutions...

MINOS
 Referenced in 440 articles
[sw05095]
 MINOS is a largescale optimization system, for the solution of sparse linear and nonlinear...

SNOPT
 Referenced in 495 articles
[sw02300]
 SNOPT: An SQP algorithm for largescale constrained optimization. Sequential quadratic programming (SQP) methods have...

LBFGS
 Referenced in 708 articles
[sw03229]
 BFGSB Fortran subroutines for largescale boundconstrained optimization. LBFGS...

CUTE
 Referenced in 213 articles
[sw14681]
 environment for testing small and largescale nonlinear optimization algorithms. Although many of these facilities...

LBFGSB
 Referenced in 298 articles
[sw05142]
 BFGSB Fortran subroutines for largescale boundconstrained optimization LBFGS...

NLopt
 Referenced in 83 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 102 articles
[sw04813]
 comparisons with other methods for largescale unconstrained optimization are given...

LBFGSB
 Referenced in 154 articles
[sw01234]
 BFGSB Fortran subroutines for largescale boundconstrained optimization. LBFGS...

LDGB
 Referenced in 34 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 ... metric based bundle method for nonsmooth largescale optimization. In addition, we introduce ... academic test problems for largescale nonsmooth minimization. Finally, we give some encouraging results from...

SVMlight
 Referenced in 260 articles
[sw04076]
 problem of learning a ranking function. The optimization algorithms used in SVMlight are described ... training largescale transductive SVMs. The algorithm proceeds by solving a sequence of optimization problems...

Pyomo
 Referenced in 41 articles
[sw04910]
 complete and comprehensive guide to Pyomo (Python optimization modeling objects) for beginning and advanced modelers ... software package for formulating and solving largescale optimization problems. The software extends the modeling...

UFO
 Referenced in 36 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...

BB
 Referenced in 31 articles
[sw08074]
 package BB: Solving and Optimizing LargeScale Nonlinear Systems. BarzilaiBorwein spectral methods for solving ... nonlinear system of equations, and for optimizing nonlinear objective functions subject to simple constraints...

SPG
 Referenced in 70 articles
[sw00897]
 Algorithm 813: SPG  software for convexconstrained optimization: Fortran 77 software implementing the SPG method ... projected gradient algorithm for solving largescale convexconstrained optimization problems. It combines the classical...

OPTI
 Referenced in 29 articles
[sw15090]
 there are a number of open source optimization solvers that enable one to solve ... discrete, linear and nonlinear, medium and largescale optimization problems, only a few contain useable...

COPS
 Referenced in 33 articles
[sw08461]
 development of COPS, a largescale Constrained Optimization Problem Set. The primary purpose of this...

SYMPHONY
 Referenced in 30 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...

MapReduce
 Referenced in 240 articles
[sw00546]
 parallel programming model initially developed for largescale web content processing. Data analysis meets ... calculation over extremely large datasets. The arrival of MapReduce provides a chance to utilize commodity ... parallel data analysis applications. The translation and optimization from relational algebra operators to MapReduce programs...