Efficient Methods for Least-Norm Regularization.
Workshop Numerical Linear Algebra - Algorithms, Applications, and Training, Delft, The Netherlands, April 2012.
New Methods for Least-Norm Regularization.
Householder Symposium XVIII, Tahoe City, California, U.S.A., June 2011.
Efficient Methods for Least-Norm Regularization.
Workshop on Optimization, Design and Control, Oxford, U.K.,
September 2010.
Large-Scale Eigenvalue Problems in Trust-Region Calculations.
2nd International Kyoto Forum 2010 on Krylov Subspace Methods,
Kyoto, Japan, March 2010.
Trust Regions in Large-Scale Optimization and Regularization.
GAMM Workshop Applied and Numerical Linear Algebra with special emphasis on Regularization of Ill-Posed Problems,
Hamburg, Germany, September 2008.
LSTRS: MATLAB Software for Large-Scale Trust-Region Subproblems
and Regularization.
Householder Symposium XVII, Zeuthen, Germany, June 2008.
TRUSTμ: An Interior-Point Method for Large-Scale Non-Negative
Regularization.
Gene Golub Around the World,
Delft, The Netherlands, February 29, 2008.
Large-Scale Eigenvalue Problems and the Regularization of
Discrete Ill-Posed Problems.
Plenary talk,
Householder Symposium XIV,
Whistler, British Columbia, Canada, June 1999.
Regularization of Large-Scale Discrete Ill-Posed Problems.
Mathematical Journey through Analysis, Matrix Theory and Scientific Computation: a conference on the occasion of Richard S. Varga's 70th birthday, Kent, Ohio, U.S.A., March 1999.
INVITED LECTURES IN SEMINARS
The LSTRS Software for Large-Scale Trust-Region Subproblems and
Regularization.
Smart Wells/ISAPP Meeting, Delft University of Technology, Delft, The Netherlands, October 2010.
Accelerating the LSTRS Algorithm.
Department of Mathematical and Computing Sciences,
Tokyo Institute of Technology,
Tokyo, Japan, March 2010.
Optimization Techniques for Large-Scale Inverse Problems.
Central Research Laboratory, Hitachi, Ltd.,
Tokyo, Japan, March 2010.
The LSTRS Software for Large-Scale Trust-Region Subproblems and
Regularization.
Computational Science Workshop, Department of Mathematics,
Keio University,
Yokohama, Japan, March 2010.
Accelerating the LSTRS Algorithm.
Linear Algebra and Optimization Seminar, Institute for
Computational Mathematics and Engineering,
Stanford University, Stanford, California, U.S.A., October 2009.
Optimization Techniques for Large-Scale Inverse Problems.
Vision Lab, University of Antwerp, Antwerp, Belgium, March 2009.
Teaching Programming.
Department of Informatics, University of Bergen,
Bergen, Norway, February 2009.
Trust Regions in Large-Scale Optimization and Regularization.
Department of Mathematics, Temple University,
Philadelphia, Pennsylvania, U.S.A., October 2008.
LSTRS: MATLAB Software for Large-Scale Trust-Region Subproblems
and Regularization.
Modelling, Analysis and Simulation Seminars, Centrum voor Wiskunde en Informatica (CWI) (Center for Mathematics and Informatics),
Amsterdam, The Netherlands, June 2008.
A Trust-Region Approach to the Regularization of Large-Scale
Discrete Forms of Linear Ill-Posed Problems.
Faculty of Science, Computer Science School,
Central University of Venezuela,
Caracas, Venezuela, January 2008.
LSTRS: MATLAB Software for Large-Scale Trust-Region Subproblems and
Regularization.
Department of Mathematical and Computing Sciences,
Tokyo Institute of Technology,
Tokyo, Japan, November 2007.
Large-Scale Optimization.
IMM Seminar, Department of Informatics and Mathematical Modelling,
Technical University of Denmark, Lyngby, Denmark, September 2007.
LSTRS 1.2: MATLAB Software for Large-Scale Trust-Region Subproblems
and Regularization.
IMM Seminar,
Department of Informatics and Mathematical Modelling,
Technical University of Denmark, Lyngby, Denmark, April 2007.
LSTRS: MATLAB Software for Large-Scale Trust-Region
Subproblems and Regularization.
Optimization Group Seminar,
Department of Information Systems and Algorithms,
Delft University of Technology,
Delft, The Netherlands, January 2006.
LSTRS: MATLAB Software for Large-Scale Trust-Region
Subproblems and Regularization.
Department of Informatics and Mathematical Modelling,
Technical University of Denmark, Lyngby, Denmark, August 2005.
LSTRS: MATLAB Software for Large-Scale Trust-Region
Subproblems and Regularization.
Center for Research and Advanced Training in
Scientific Computing (CERFACS),
Toulouse, France, November 2003.
An Interior-Point Trust-Region-Based Method for
Large-Scale Non-Negative Regularization.
Laboratory of Mathematics for Industry and Physics,
Paul Sabatier University,
Toulouse, France, October 2003.
LSTRS: MATLAB Software for Large-Scale Trust-Region
Subproblems and Regularization.
Department of Informatics and Mathematical Modelling,
Technical University of Denmark, Lyngby, Denmark, August 2003.
Large-Scale Optimization Techniques for the
Regularization of Ill-Posed Problems.
Mathematical and Computational Sciences Division,
NIST (National Institute of Standards and Technology),
Gaithersburg, Maryland, U.S.A., May 2003.
Large-Scale Nonnegative Regularization.
Scientific Computing and Computational Mathematics,
Stanford University, Stanford, California, U.S.A., November 2002.
Large-Scale Nonnegative Regularization.
Department of Mathematical Modelling,
Technical University of Denmark, Lyngby, Denmark, March 2002.
Trust-Region-Based Optimization Techniques for the
Regularization of Large-Scale Discrete Forms of Ill-Posed Problems.
Department of Mathematics, Linköping University, Linköping, Sweden, March 2002.
Trust Regions and the Regularization of Large-Scale
Discrete Forms of Ill-Posed Problems.
INRIA, Rocquencourt, France, March 2001.
Trust Regions and the Regularization of Large-Scale
Discrete Forms of Ill-Posed Problems.
Department of Mathematical Modelling,
Technical University of Denmark, Lyngby, Denmark, March 2001.
Trust Regions and the Regularization of Large-Scale
Discrete Forms of Ill-Posed Problems.
ExxonMobil Upstream Research,
Houston, Texas, U.S.A., February 2001.
Trust Regions and the Regularization of Large-Scale
Discrete Forms of Ill-Posed Problems.
Department of Mathematics, Wake Forest University,
Winston-Salem, North Carolina, U.S.A., January 2001.
A Matrix-Free Method for the Large-Scale Trust-Region Subproblem.
Institute for Analysis and Computational Mathematics.
Department of Computational Mathematics and Optimization,
Johannes Kepler University Linz, Linz, Austria, December 2000.
A Matrix-Free Method for the Large-Scale Trust-Region Subproblem.
Centre for Mathematics, University of Coimbra,
Coimbra, Portugal, February 2000.
A Matrix-Free Method for the Large-Scale Trust-Region Subproblem.
Laboratory of Mathematics for Industry and Physics,
Paul Sabatier University,
Toulouse, France, February 2000.
Large-Scale Eigenvalue Problems, Trust Regions and the Regularization
of Discrete Ill-Posed Problems.
TRIP Seminar, Department of Computational and Applied Mathematics,
Rice University, Houston, Texas, U.S.A., October 1999.
A Trust-Region Approach to the Regularization of
Large-Scale Discrete Ill-Posed Problems.
Department of Informatics, University of Bergen,
Bergen, Norway, May 1999.
An Introduction to the Numerical Treatment of
Ill-Conditioned Linear Systems and Least Squares Problems.
A Trust-Region Approach to the Regularization
of Large-Scale Discrete Ill-Posed Problems.
Department of Mathematics, Instituto Tecnológico Autónomo de
México (ITAM), Mexico City, Mexico, September 1998.
A Large-Scale Trust-Region Approach to the Regularization of
Inverse Problems.
Western Atlas Logging Services, Research Seminar,
Houston, Texas, U.S.A., June 1998.
Introduction to Parallel Numerical Methods.
Department of Mathematics, Federal University of
Rio de Janeiro, Ilha do Fundão,
Rio de Janeiro, Brazil, April 1990.
MINISYMPOSIUM LECTURES
Large-Scale Eigenvalue Problems, Trust Regions and Regularization.
Minisymposium "Matrix Computations in Large-Scale Optimization,"
9th SIAM Conference on Optimization,
Boston, Massachusetts, U.S.A., May 2008.
CONTRIBUTED LECTURES
Efficient Methods for Least-Norm Regularization.
10th SIAM Conference on Optimization,
Darmstadt, Germany, May 2011.
Solving Large-Scale Eigenvalue Problems from Optimization.
SIAM Conference on Applied Linear Algebra,
Monterey Bay-Seaside, California, U.S.A., October 2009.
LSTRS: MATLAB Software for Large-Scale Trust-Region
Subproblems and Regularization.
9th IMACS International Symposium on Iterative Methods
in Scientific Computing,
Lille, France, March 2008.
LSTRS: MATLAB Software for Large-Scale Trust-Region
Subproblems and Regularization.
Computational Methods with Applications,
Harrachov, Czech Republic, August 2007.
Surrogate modeling for geometry optimization in material design.
6th International Congress on Industrial and Applied Mathematics
ICIAM07,
Zürich, Switzerland, July 2007.
Surrogate Modeling for Electronic-Structure Calculations.
Surrogate Modelling and Space Mapping for Engineering
Optimization SMSMEO-06,
Lyngby, Denmark, November 2006.
A Comparison of Methods for the Large-Scale Trust-Region Subproblem.
12th International Congress on Computational and Applied
Mathematics ICCAM 2006,
Leuven, Belgium, July 2006.
LSTRS: MATLAB Software for Large-Scale Trust-Region Subproblems
and Regularization.
11th International Congress on Computational and Applied
Mathematics ICCAM 2004,
Leuven, Belgium, July 2004.
Large-Scale Optimization Techniques for Nonnegative Image Restorations.
47th Annual Meeting of the Society for Photo-Optical Engineering (SPIE),
Seattle, Washington, U.S.A., July 2002.
An Interior-Point Trust-Region-Based Method for Large-Scale
Nonnegative Regularization.
47th Annual Meeting of the Society for Photo-Optical Engineering (SPIE),
Seventh SIAM Conference on Optimization,
Toronto, Ontario, Canada, May 2002.
Optimization Techniques for Large-Scale Discrete
Forms of Ill-Posed Problems.
Applied Inverse Problems 2001, Montecatini
Terme, Italy, June 2001.
Optimization Techniques for Image Restoration Problems.
17th International Symposium on Mathematical Programming ISMP 2000,
Atlanta, Georgia, U.S.A., August 2000.
A Trust-Region Approach to the Regularization of Large-Scale
Discrete Ill-Posed Problems.
SFB-Conference on Inverse Problems,
Strobl/St. Wolfgang, Austria, June 2000.
A New Method for the Large-Scale Trust-Region Subproblem.
Sixth SIAM Conference on Optimization,
Atlanta, Georgia, U.S.A., May 1999.
Trust Regions and the Regularization of Discrete Ill-Posed Problems.
Fifth SIAM Conference on Mathematical and Computational
Issues in the Geosciences,
San Antonio, Texas, U.S.A., March 1999.
Different Preconditioning Strategies for the Conjugate Gradient Method.
First Panamerican Workshop for Applied Mathematics,
Caracas, Venezuela, January 1993.
A Preconditioner for the Conjugate Gradient Method.
V Mathematics School,
San Cristóbal, Táchira, Venezuela, June 1992.
Implementation of a Primal Potential Reduction Algorithm
for Linear Programming.
Fourth SIAM Conference on Applied Linear Algebra,
Minneapolis, Minnesota, U.S.A., September 1991.
Efficient Implementation of Interior Point Methods
for Linear Programming.
PANEL'91, XVII Latin American Conference on Informatics,
Caracas, Venezuela, July 1991.
Some Considerations for the Implementation of a Primal Potential
Reduction Algorithm for Linear Programming.
IV Mathematics School,
Caracas, Venezuela, April 1991.
Natural Language Processing with Applications.
First Workshop of the Comtrad Group of Venezuela,
Puerto Ordaz, Bolívar, Venezuela, October 1989.
INVITED POSTERS
Surrogate Modeling for Electronic-Structure Calculations.
Mathematical and Algorithmic Challenges in Electronic Structure Theory,
Institute for Mathematics and its Applications, University of Minnesota,
Minneapolis, Minnesota, September 29-October 4, 2008.
CONTRIBUTED POSTERS
Efficient Solution of the Optimization Problem in Model-Reduced
Gradient-Based History Matching.
SIAM Conference on Computational Science and Engineering,
Boston, Massachusetts, U.S.A., February 2013.
Efficient Methods for Least-Norm Regularization.
7th International Congress on Industrial and Applied
Mathematics ICIAM2011,
Vancouver, British Columbia, Canada, July 2011.
Surrogate Modeling for Geometry Optimization in Material Design.
15th European Conference on Mathematics for Industry ECMI 2008,
London, United Kingdom, July 2008.
LSTRS: MATLAB Software for Large-Scale Trust-Region
Subproblems and Regularization.
9th SIAM Conference on Optimization,
Boston, Massachusetts, U.S.A., May 2008.
LSTRS: MATLAB Software for Large-Scale Trust-Region
Subproblems and Regularization.
6th International Congress on Industrial and
Applied Mathematics ICIAM2007,
Zürich, Switzerland, July 2007.
A Comparison of Methods for the Large-Scale Trust-Region Subproblem.
Sparse Days at CERFACS, Toulouse, France, June 2006.
LSTRS: MATLAB Software for Large-Scale Trust-Region Subproblems.
12èmes Journées du Groupe MODE,
Le Havre, France, March 2004.
LSTRS: MATLAB Software for Large-Scale Trust-Region Subproblems.
Sparse Days and Grid Computing at St. Girons,
St. Girons, France, June 2003.
Regularization of Discrete Ill-Posed Problems.
Annual Meeting of the Center for Research in Parallel Computation (CRPC),
Houston, Texas, U.S.A., May 1997.