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F_LimitedBFGS_NLS Class Reference

#include <F_LimitedBFGS_NLS.hpp>

Inheritance diagram for F_LimitedBFGS_NLS:

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Detailed Description

Quasi-Newton Limited BFGS.

Author:
Bernard De Cuyper
Version:
1.20
Date:
29/10/2004
Remarks:
Tornado1.1 Iterative Linear Solver
 
Purpose:        Quasi-Newton Limited BFGS for large size unconstrained nonlinear problems.
   

Papers: "On Limited Memory BFGS Method for Large SCale Optimisation", 
                Dong C. Liu and Jorge Nocedal, Mathematical Programming 45 (1989), p503-528, 
                NorthWestern University, USA.

                "Limited-Memory Matrix Methods with Applications", Tamara Gibson Kolda,
                Applied Math Progam, Dissertation of University of Maryland at College Park, 1997, USA.

                "Representation of Quasi-Newton Matrices and their Use in Limited Memory Methods", 
                Richard H. Byrd, Jorge Nocedal, Robert B. Schnabel, Report January 21, 1996, 
                NorthWestern University, USA.

                "A Limited Memory Algorithm for Bounded Constrained Optimisation", 
                Richard H. Byrd, Jorge Nocedal & all, Report May, 1994, NorthWestern University, USA.

                "L-BFGS-B: Fortran Subroutines for Large-Scale Bound Constrained Optimisation", 
                Richard H. Byrd, Jorge Nocedal & all, Report December 31, 1994, 
                NorthWestern University, USA.

                "Large Scale Unconstrained Optimisation", 
                Jorge Nocedal, Report June 23, 1996, NorthWestern University, USA.

                "Course Notes for MS4327 Optimisation", J. Kinsella, course March 30, 2004,
                University of ?.

                "Unconstrained Optimization" P.E. Frandsen, K. Jonasson, H.B. Nielsen O. Tingleff,
                Lecture 23/8/1999, Dep. of Mathematical Modeling, Technical University of Lyngby, Denmark.

Apps.:  "A Limited Memory BFGS Method for an Inverse Problem in Atmospheric Imaging.", 
                Curtis R. Vogel, Montana State University, 2000.

                "Fast Algorithms for Phase Diversity-Based Blind Deconvolution", 
                Curtis R. Vogel, Tony Chan, R. Plemmons, Montana State University & UCLA, 1998.

                
@ Copyrights: Bernard De Cuyper 2004, Eggs & Pictures. MIT/Open BSD copyright model.


Public Methods

 F_LimitedBFGS_NLS (int maxIterations, int M=5, double epsilon=1.0e-4)
virtual ~F_LimitedBFGS_NLS ()
virtual FloatVectorsolve (AbsFObjectiveFn *fn, FloatVector *x=0)

Protected Methods

virtual FloatVectorbfgs_Hx (int level, FloatVector *d)
virtual FloatVectorsingleSolve (AbsFObjectiveFn *fn, FloatVector *x=0)

Private Attributes

int m
int k
FloatVectorQueueS
FloatVectorQueueY
double alpha
FloatVectorg
FloatVectord
FloatVectors
FloatVectory


The documentation for this class was generated from the following files:
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Bernard De Cuyper: Open Project Leader: Concept, design and development.
Bernard De Cuyper & Eddy Fraiha 2002, 2003. Bernard De Cuyper 2004. Open and free, for friendly usage only.
Modifications on Belgium ground of this piece of artistic work, by governement institutions or companies, must be notified to Bernard De Cuyper.
bern_bdc@hotmail.com