[net.ai] Data Structures & Algorithms for Geometric Problems

MANTYLA@SU-SIERRA.ARPA (01/06/84)

From:  Martti Mantyla <MANTYLA@SU-SIERRA.ARPA>

                    [Reprinted from the SU-SCORE bboard.]

                                  NEW COURSE:
                     EE392 DATA STRUCTURES AND ALGORITHMS
                            FOR GEOMETRIC PROBLEMS


Many   problems   arising  in  science  and  engineering  deal  with  geometric
information.  Engineering design  is  most  often  spatial  activity,  where  a
physical  shape  with  certain desired properties must be created.  Engineering
analysis also uses heavily information on the geometric form of the object.

The seminar Data Structures and Algorithms for Geometric  Problems  deals  with
problems  related to representing and processing data on the geometric shape of
an object in a computer.    It  will  concentrate  on  practically  interesting
solutions to tasks such as

   - representation of digital images,
   - representation of line figures,
   - representation of three-dimensional solid objects, and
   - representation of VLSI circuits.

The  point  of  view  taken  is  hence  slightly  different  from a "hard-core"
Computational Geometry view that  puts  emphasis  on  asymptotic  computational
complexity.    In  practice,  one  needs solutions that can be implemented in a
reasonable  time,  are  efficient  and  robust  enough,  and  can  support   an
interesting   scope  of  applications.    Of  growing  importance  is  to  find
representations  and  algorithms  for  geometry  that   are   appropriate   for
implementation in special hardware and VLSI in particular.

The seminar will be headed by

    Dr. Martti Mantyla (MaM)
    Visiting Scholar
    CSL/ERL 405
    7-9310
    MANTYLA@SU-SIERRA.ARPA

who  will  give  intruductory  talks.    Guest  speakers of the seminar include
well-known scientists and practitioners of the field such as Dr. Leo Guibas and
Dr. John Ousterhout.  Classes are held on

                             Tuesdays, 2:30 - 3:30
                                      in
                                    ERL 126

First class will be on 1/10.

The seminar should be of interest to  CS/EE  graduate  students  with  research
interests   in   computer   graphics,   computational   geometry,  or  computer
applications in engineering.