Marielba Rojas -- Presentations

Presentations



INVITED LECTURES IN CONFERENCES

  • Efficient Methods for Least-Norm Regularization. Numerical Linear Algebra - Algorithms, Applications, and Training, Delft, The Netherlands, April 2012.

  • New Methods for Least-Norm Regularization. Householder Symposium XVIII, Tahoe City, California, USA, June 2011.

  • Efficient Methods for Least-Norm Regularization. Workshop on Optimization, Design and Control, Oxford, England, UK, 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 Nonnegative Regularization. Householder Symposium XV, Peebles, Scotland, UK, June 2002.

  • 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, USA, 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, USA, 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, USA, 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, USA, May 2003.

  • Large-Scale Nonnegative Regularization. Scientific Computing and Computational Mathematics, Stanford University, Stanford, California, USA, 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, USA, 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, USA, 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, USA, 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, USA, 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.


    MINISYMPOSIA

  • Matrix Computations in Large-Scale Optimization. 9th SIAM Conference on Optimization, Boston, Massachusetts, USA, May 2008.


    MINISYMPOSIUM LECTURES

  • Large-Scale Eigenvalue Problems, Trust Regions and Regularization. 9th SIAM Conference on Optimization, Boston, Massachusetts, USA, 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, USA, 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), Zurich, 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, USA, July 2002.

  • An Interior-Point Trust-Region-Based Method for Large-Scale Nonnegative Regularization. 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. ISMP 2000, 17th International Symposium on Mathematical Programming, Atlanta, Georgia, USA, 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, USA, 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, USA, 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, USA, 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, USA, 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. 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, USA, May 2008.

  • LSTRS: MATLAB Software for Large-Scale Trust-Region Subproblems and Regularization, 6th International Congress on Industrial and Applied Mathematics, Zurich, 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, USA, May 1997.