
LBFGS
 Referenced in 852 articles
[sw03229]
 Algorithm 778: LBFGSB Fortran subroutines for largescale boundconstrained optimization. LBFGS ... obtain, or for large dense problems. LBFGSB can also be used for unconstrained ... performs similarly to its predecessor, algorithm LBFGS (Harwell routine VA15). The algorithm is implemened...

LBFGSB
 Referenced in 431 articles
[sw05142]
 Algorithm 778: LBFGSB Fortran subroutines for largescale boundconstrained optimization LBFGS ... obtain, or for large dense problems. LBFGSB can also be used for unconstrained ... performs similarly to its predecessor, algorithm LBFGS (Harwell routine VA15). The algorithm is implemened...

KELLEY
 Referenced in 643 articles
[sw04829]
 sufficiently close to a solution. par The BFGS method is studied in chapter...

LBFGSB
 Referenced in 200 articles
[sw01234]
 Algorithm 778: LBFGSB Fortran subroutines for largescale boundconstrained optimization. LBFGS ... obtain, or for large dense problems. LBFGSB can also be used for unconstrained ... performs similarly to its predecessor, algorithm LBFGS (Harwell routine VA15). The algorithm is implemened...

Stan
 Referenced in 302 articles
[sw10200]
 penalized maximum likelihood estimation with Optimization (BFGS). Stan is coded in C++ and runs...

SCALCG
 Referenced in 112 articles
[sw08453]
 modification is based on the quasiNewton BFGS updating formula. The computational scheme is embedded...

NLPQLP
 Referenced in 40 articles
[sw04073]
 Hessian approximation is updated by the modified BFGSformula. The new version is extremely stable...

HANSO
 Referenced in 18 articles
[sw05271]
 Optimization A MATLAB package based on the BFGS and gradient sampling methods. For general unconstrained ... convex or nonconvex, smooth or nonsmooth, including BFGS, limited memory BFGS and gradient sampling methods...

WORHP
 Referenced in 20 articles
[sw10824]
 named after Broyden, Fletcher, Goldfarb and Shanno (BFGS) update techniques for Hessian approximations, and sparse...

ACGSSV
 Referenced in 11 articles
[sw20836]
 algorithms based on the selfscaling memoryless BFGS update. An accelerated adaptive class of nonlinear ... direction matrix and the selfscaling memoryless BFGS update by Oren in the Frobenius norm ... scaling parameter in selfscaling memoryless BFGS update leads to algorithms which substantially outperform ... algorithms based on the selfscaling memoryless BFGS update, endowed with the acceleration scheme...

Dynaflow
 Referenced in 13 articles
[sw34674]
 NewtonRaphson, modified Newton and quasiNewton (BFGS and Broyden updates) iterations, with selective line...

Poblano
 Referenced in 12 articles
[sw04186]
 limitedmemory quasiNewton method using BFGS updates to approximate secondorder derivative information...

MSS
 Referenced in 6 articles
[sw08530]
 MATLAB Software for LBFGS TrustRegion Subproblems for LargeScale Optimization. A MATLAB implementation ... quadratic function defined by a limitedmemory BFGS matrix subject to a twonorm trust ... MoréSorensen direct method into an LBFGS setting for largescale optimization ... fast direct method for solving large shifted BFGS systems of equations...

CGOPT
 Referenced in 9 articles
[sw10952]
 direction of the scaled memoryless BFGS method. In this paper, we make...

SDLS
 Referenced in 8 articles
[sw04788]
 minimization algorithm, using an implementation of the BFGS algorithm. The other key numerical component...

SEISCOPE
 Referenced in 6 articles
[sw19396]
 conjugate gradient) and secondorder methods. (lBFGS and truncated Newton), for the solution...

csminwel
 Referenced in 3 articles
[sw05280]
 equations and minimize using quasiNewton with BFGS update. The programs are somewhat more robust ... minimization. Uses a quasiNewton method with BFGS update of the estimated inverse hessian ... large or illconditioned problems. bfgsi: The BFGS update for the inverse hessian. csolve: nonlinear...

libLBFGS
 Referenced in 3 articles
[sw33308]
 Limitedmemory BroydenFletcherGoldfarbShanno (LBFGS). This library is a C port ... Limitedmemory BroydenFletcherGoldfarbShanno (LBFGS) method written by Jorge Nocedal. The original...

Nimrod/O
 Referenced in 4 articles
[sw00620]
 number of builtin optimization algorithms, namely BFGS, Simplex, Divide and Conquer and Simulated Annealing...