PRIMER ANUNCIO
I PANAMERICAN ADVANCED STUDIES INSTITUTE in COMPUTATIONAL SCIENCE AND ENGINEERING (PASI'2002) (24 de Junio - 5 de Julio, 2002) IV PANAMERICAN WORKSHOP in APPLIED & COMPUTATIONAL MATHEMATICS (PANAM'2002) (1 - 5 de Julio, 2002) LUGAR: FACULTAD DE MATEMATICA, ASTRONOMIA Y FISICA (FaMAF) UNIVERSIDAD NACIONAL DE CORDOBA CORDOBA - ARGENTINA ORGANIZADO POR: COMPUTATIONAL SCIENCE RESEARCH CENTER SAN DIEGO STATE UNIVERSITY, SAN DIEGO, CALIFORNIA, USA FaMAF, UNIVERSIDAD NACIONAL DE CORDOBA El objetivo de este Workshop es reunir a investigadores de areas interdisciplinarias tales como matematica aplicada, computacion cientifica, ciencias de la computacion, ingenierias y aplicaciones en la industria, con el objeto de intercambiar los ultimos avances en investigacion de temas afines y promover vinculos entre estos investigadores asi como con las industrias y la sociedad. * * * CONFERENCISTAS INVITADOS Jose Castillo, San Diego State University, USA Gene Golub, Stanford University, USA Alberto Grunbaum, UC Berkeley, USA Bertil Gustafson, Uppsala University, Sweden Victor Pereyra, Weidlinger Associates Inc., USA Ruben Rosales, MIT, USA Dave Vaughn, Weidlinger Associates Inc., USA * * * COMITE ORGANIZADOR INTERNACIONAL Jose Castillo, SDSU, San Diego, CA, USA Luis Nunez, Universidad de Los Andes, Venezuela Obidio Rubio, Universidad de Trujillo, Peru Cristina Turner, Universidad Nacional de Cordoba, Argentina Julio Ruiz Claeyssen, Universidad Federal, Porto Alegre, Brazil Victor Pereyra, Weidlinger Associates, Los Altos, CA, USA Stanley Steinberg, University of New Mexico, USA * * * COMITE DE PROGRAMA Victor Pereyra, Weidlinger Associates, Los Altos, CA USA James M. Hyman, Los Alamos National Laboratory, NM, USA Hilda Lopez, Universidad Central, Venezuela Juan Meza, Sandia National Laboratories, NM, USA John Miller, Trinity College, Ireland Ruben R. Rosales, MIT, Cambridge, MA, USA Stanly Steinberg, University of New Mexico, USA COMITE ORGANIZADOR LOCAL Cristina Turner, Facultad de Matematica, Astronomia y Fisica, UNC, Cordoba Javier Blanco, Facultad de Matematica, Astronomia y Fisica, UNC, Cordoba Oscar Bustos, Facultad de Matematica, Astronomia y Fisica, UNC,Cordoba Sergio Cannas, Facultad de Matematica, Astronomia y Fisica, UNC, Cordoba Ricardo Duran, Universidad de Buenos Aires Elena Fernandez, Universidad de Buenos Aires Tomas Godoy, Facultad de Matematica, Astronomia y Fisica, UNC, Cordoba Eduardo Hulett, Facultad de Matematica, Astronomia y Fisica, UNC, Cordoba Pablo Jacovkis, Universidad de Buenos Aires Patricia Kisbye, Facultad de Matematica, Astronomia y Fisica, UNC, Cordoba Fernando Levstein, Facultad de Matematica, Astronomia y Fisica, UNC, Cordoba Cristina Mariani, Universidad de Buenos Aires Fernando Menzaque, Facultad de Matematica, Astronomia y Fisica, UNC, Cordoba Alberto Pignoti, TECHINT-SIDERCA Elvio A. Pilotta, Facultad de Matematica, Astronomia y Fisica, UNC, Cordoba Silvina Smith, Facultad de Matematica, Astronomia y Fisica, UNC, Cordoba Ruben Spies, INTEC-CONICET, Santa Fe Domingo Tarzia, Universidad Austral Rosario Noemi Wolanski, Universidad de Buenos Aires * * * EMPRESAS Y ORGANISMOS AUSPICIANTES FAMAF - UNIVERSIDAD NACIONAL DE CORDOBA, ARGENTINA TECHINT - SIDERCA, ARGENTINA SOCIEDADE BRASILEIRA DE MATEMATICA APLICADA E COMPUTACIONAL (SBMAC) UNIVERSITY OF NEW MEXICO, NM, USA WEIDLINGER ASSOCIATES, INC., LOS ALTOS, CA, USA COMPUTATIONAL SCIENCE RESEARCH CENTER, SAN DIEGO STATE UNIVERSITY, SAN DIEGO, CALIFORNIA, USA NATIONAL SCIENCE FOUNDATION (NSF) DEPARTMENT OF ENERGY OF USA (DOE) * * * ** CONFERENCIAS ** MINISESIONES - MINIWORKSHOPS ** POSTERS IMPORTANTE: Las contribuciones presentadas al congreso podran ser sometidas a referato para su publicacion en journals internacionales. La inscripicion a la PASI'2002 se debera realizar llenando el formulario que esta en la pagina web. Fechas limites: Inscripcion a la PASI'2002: 28 de Febrero de 2002. Presentacion de mini-workshops en PANAM'2002: 30 de Marzo de 2002. Presentacion de comunicaciones y posters en PANAM'2002: 1 de Abril de 2002. Inscripcion temprana al PANAM'2002: 15 de Abril de 2002. Otras informaciones sobre el PANAM'2002 y la PASI'2002 pueden ser obtenidas en las paginas web o por email: http://www.famaf.unc.edu.ar http://www.sci.sdsu.edu/compsci/conferences.htm e-mail: [EMAIL PROTECTED] * * * CURSOS de la PASI'2002 *C1: "Developing High Performance Applications for Parallel Computers" DR. JAY BOISSEAU (San Diego Supercomputer Center, University of California, San Diego, USA) Parallel computing has become the dominant technique for achieving high performance in computational science and engineering research. Parallel computing systems are now becoming mainstream in commercial sectors as well, due to the performance demands and requirements of today's engineering, database, and financial applications. Multiprocessor systems based on commodity processors (IA32, G4, Alpha, UltraSparc, and Power3) are now common and offer excellent performance for the price. However, formal educational opportunities for learning parallel computing are still relatively rare. Parallel computing often must be learned 'on the side' (for research scientists) or 'on the job' (in industry). This course, based on a university-level class the instructor has taught at San Diego State University and the University of California San Diego, is an intensive introduction to parallel computing for scientists and engineers. The class starts with a high-level overview of parallel computing, including parallel algorithms, Amdahl's Law, and limits to scalability. It will then compare and contrast the architectural features of modern parallel computers, including commodity clusters. The most recent programming models and tools for these systems will then be presented. Finally, the content will discuss effective methods for developing, optimizing, and debugging scientific applications for parallel computers. The course will be very 'applied' in nature. The lectures will place more emphasis on developing parallel applications than on abstract theoretical parallel programming concepts or computer engineering details. The labs will reinforce this practical focus by letting students work with real parallel applications and develop new applications from (small) serial codes. Attendees will leave this course ready to apply parallel computing expertise to develop new, high-performance applications for their research activities. *C2: "Parabolic Equation Techniques with Applications" DR. MICHAEL COLLINS (Naval Research Laboratory, Washington, DC, USA) This course will cover several types of nonseparable wave prophagation problems in the geosciences, including ocean acoustics, seismology, athmospheric waves, and waves in porous media. Prof. William Siegmann (Department of Mathematics Sciences, Rensselaer Polytechnic Institute) and Dr. Collins are presently writing a book on this topic that will be completed in time to use in the short course. Computer laboratory sections would be very convenient for this course. *C3: "Methods for Computing Eigenvalues" DR. GENE H. GOLUB (Computer Science Department, Stanford University, USA) This course will discuss modern methods for computing eigenvalues/vectors of matrices. Particularly in solving for a few eigenvalues of large, structured matrices, symmetric and general. It will describe specialized techniques for solving the quadratic eigenvalue problem and modified eigenvalue problems. In addition, methods for bounding quadratic and bilinear forms using eigenvlue analysis will be presented. *C4: "Hyperbolic Systems and Numerical Methods" DR. BERTIL GUSTAFSSON (Department of Scientific Computing, Uppsala, Sweden) Problems with periodic solutions. First order systems in one space dimension. First order systems in several space dimensions. Difference approximations with constant coefficients. Difference approximations with variable coefficients. The method of lines. The finite volume method. The Fourier pseudospectral method. Initial-boundary value problems. The energy method for hyperbolic systems. The Laplace transform method. The energy method for difference approximations. The Laplace transform method for difference approximations. The method of lines and generalized stability Title: Hyperbolic Systems and Numerical Methods. *C5: "Wavelets: Applications and Theory" DRA. CRISTINA PEREYRA (Department of Mathematics and Statistics, University of New Mexico, Albuquerque, USA) Wavelets have become part of the toolbox of scientist. Wherever a signal or image needs to be analyzed, the wavelet transform can be used. Wavelets provide a "mathematical zoom" that permits one to analyze functions and operators at many scales simultaneously. Wavelets have wonderful approximation properties. From the mathematical point of view they provide bases for a number of classical spaces of functions. From the practical point of view they permit to represent certain signals very efficiently. Wavelets are being used to study turbulence and PDE's. They also have become a popular denoising tool. In this course, Dr. Pereyra will explain: (a) the basics of wavelets and signal/image compression; (b) how to construct divergence-free multi-wavelets which are expected to be useful in numerical analysis of incompressible fluids; (c) denoising procedures and compare wavelet techniques to classical denoising techniques; and (d) what wavelets are, how to construct them, and how to implement them. *C6: "The Trust Region Strategy for Nonlinear Optimization Problem" DRA. CRISTINA MACIEL (Department of Mathematics, Universidad Nacional del Sur, Bahia Blanca, Argentina) Ten lectures of 2 hours each, including laboratory's experiments by using MATLAB. The purpose of this course is to illustrate and describe the role of trust region strategy in Nonlinear Optimization. The discussion in the first half of the course will be devoted to the trust region algorithms for the unconstrained optimization and nonlinear systems of algebraic equations. In the last half of the course, after a review of the sequential quadratic programming methods for the general nonlinear programming problem, the trust region strategy for the constrained optimization problem is presented. This is a rich and deep topic requiring much more than four lectures to cover with any rigor. Nevertheless, this topic will be introduced highlighting issues that involve optimization. The course concludes by presenting recent developments in algorithms and software for trust region approach. Attendees will obtain an understanding of state-of-the-art in trust region methods for nonlinear optimization problems. Contents: The trust region strategy for the unconstrained optimization problem. The problem. Description of the general algorithm. The trust region subproblem. Different strategies for solving the trust region subproblem. The large scale case. Global convergence theories. The trust region strategy for the nonlinear systems. The trust region strategy for the general constrained optimization problem. Description of the general algorithm. The trust region subproblem. The tangent space and the full space approaches. Merit functions. Global convergence theories. Recent developments for trust region methods. *C7: "Petroleum Reservoir Simulations" DR. REINALDO GONZALEZ (Escuela de Ingenieria de Petroleo, Facultad de Ciencias, Universidad Central de Venezuela). Analysis of Pressure Transient for Horizontal Wells with Irregular Trajectory in Arbitrary Shaped Reservoirs. *C8: "Pattern Search methods for Optimization" DR. JUAN MEZA (Computational Sciences and Mathematics Research Group, Sandia National Laboratories, Livermore, CA, USA) The advent of powerful desktop computers and small to medium scale shared memory multiprocessors (SMP) has dramatically increased the use of optimization in engineering and scientific disciplines. This is especially evident in simulation-based problems where the objective function is represented by a computer model of a physical or engineering process. Within the optimization community, this trend has spawned new research areas as well as revitalized some old areas. One good example is in the area of parallel optimization. It has been proposed that there are three major levels for introducing parallelism in optimization problems: 1) parallelize the function, gradient, and constraints, 2) parallelize the linear algebra, and 3) parallelize the optimization at a high level. The third option, that of parallelizing optimization at a high level, will be one of the main focus areas covered in this course. The course is designed both for students wishing to understand the optimization aspects as well as people who are already practicing optimization in their work or research. This course will cover the basic mathematical concepts of optimization, followed by material on optimization model building and problem classification. Typical areas covered from the practical side include, how to recognize when one has a solution, difficulties when solving optimization problems, and setting up and handling constraints. The majority of the lectures will be focused on optimization methods aimed for parallel computing and for problems where the objective function is based on the solution of a simulation. Examples of methods that will be discussed include parallel direct search methods, genetic algorithms, and simulated annealing. We will also present some new hybrid methods that combine pattern search methods with trust-region methods and suggest new areas of research. ----<*>-----<*>-----<*>--.N.O.T.I.A.M.C.A.--<*>-----<*>-----<*>-----<*> Los mensajes son archivados en la pagina Web del AMCA http://venus.arcride.edu.ar/AMCA ----<*>-----<*>-----<*>-----<*>-----<*>-----<*>-----<*>-----<*>-----<*>