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Sinopsis
Adil M. Bagirov, Federation University Australia, Ballarat: Derivative Free Optimization Methods
Oleg Burdakov, Linkoping University, Sweden: Limited Memory Quasi-Newton Methods
Andrew R. Conn, IBM Research Center, USA: Challenging Problems in Optimization
Yu-Hong Dai, Chinese Academy of Science, China: Penalty Methods
Iain Duff, Rutherford Appleton Laboratory, Oxford, UK: Numerical Linear Algebra
Giovanni Fasano, University of Venice Ca Foscari, Italy: Conjugate Gradient Methods
David M. Gay, AMPL Optimization Inc., USA: AMPLE for Optimization
Michael Hintermuller, Humboldt-Universitaet zu Berlin, Germany: PDE and Optimization
Nezam Mahdavi-Amiri, Sharif University of Technology, Iran: Algorithms for Constrained Computations
Hans D. Mittelmann, Arizona State University, USA: Software Optimization
Dominique Orban, Ecole Polytechnique de Montereal, Canada: Nonlinear Optimization
Amiya K. Pani, Indian Institute of Technology Bombay, India: Numerical Methods for PDE
Florian A. Potra, University of Maryland, USA: Numerical Optimization
Cornelis Roos, Delft University of Technology, The Netherlands: Constrained Optimization with Modeling
Ekkehard W. Sachs, University of Trier, Germany: Control and Optimization with application to PDE
Michael Saunders, Stanford University, USA: Conjugate Gradient for System of Equations
Philippe L. Toint, University of Namur, Belgium: Nonlinear Optimization
Maria Teresa Vespucci, Bergamo University, Italy: Challenging Problems in Optimization
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