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: pana...@mate.uncor.edu
* * *
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.
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Los mensajes son archivados en la pagina Web del AMCA
http://venus.arcride.edu.ar/AMCA
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