September 17, 1996: "Fast MRI"
Dennis Healy
Dept. of Mathematics and Comp. Sci.
Dartmouth College
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September 24, 1996: "Blood as a Suspension of Particles:
Implications to Pathologies of
Large Arteries"
Steve Jones
Biomedical Engineering Department
Johns Hopkins University
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October 1, 1996: "An all-optical information superhighway"
Ulf Osterberg
Dept. of Elec. Eng.
Dartmouth College
This talk will discuss why we need optical signal processing
for some of the decision making in future fiber optic networks.
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October 8, 1996: "The Spectral Finite Element
Method for the Sphere"
Mark Taylor
NCAR
visiting: Dept. of Mathematics and Comp. Sci.
Dartmouth College
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October 15, 1996: "The FFT - an Algorithm the Whole
Family Can Enjoy"
Dan Rockmore
Dept. of Mathematics
Dartmouth College
The Fast Fourier Transform can be fun for the whole family - bring
the kids and watch a group theorist reinterpret this algorithm before
your very eyes!
At the end of the talk we will break up into groups and discuss
other possible phrases with the acronym FFT.
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October 22 AND 24, 1996: "Getting To Know You Week"
This week will feature 1/2-hour talks by some of our postdoctoral fellows
and visitors, introducing everyone to their research interests. The talks
are intended to be for a general math audience. They are in BRADLEY 102.
Tuesday, October 22:
4:00-4:30 : JOHN MACKEY
4:35-5:05 : PETER KOSTELEC
Thursday, October 24:
3:45-4:15 : JORG BRENDLE
4:20-4:50 : MARK TAYLOR
4:55-5:20 : MEGAN KERR
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October 29, 1996: "Quantum Computing -
Myth or Math?"
Dan Gessel
Dept. of Computer Science
Dartmouth College
Quantum computing has been proposed as a new computational
paradigm which takes advantage of the statistical nature of
quantum mechanics. In this talk we will explain some of the
basic ideas and show how Heisenberg Uncertainty implies that
we can never be simultaneously sure of the question asked
and the solution computed...
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November 5, 1996: "Have you ever reached
the global minimum? --
Some developments for
nonlinear regression"
Eugene Demidenko
Biostatistics and Epidemiology Section
Dartmouth Medical School
Dartmouth College
ABSTRACT. Unless the minimized function is convex one gets in troubles
in finding the global minimum. The fact is that all commonly used
minimization algorithms like conjugate gradients or Newton-Raphson
find a local minimum, at most. There are three approaches to the problem
of global minimum: stochastic, deterministic and analytic. The first two
try to find the global minimum. The last one provides criteria to check
whether the found local minimum is, in fact, the global one. The talk is
devoted to the analytic approach applied to the sum of squares in nonlinear
regression model estimation. The technical tools applied are: matrix
inequalities, Morse theory (topology), and curvature (differential geometry).
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November 12, 1996:
TBA
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November 19, 1996: "Head-Banging, Heart-Pounding
Symmetric Local Orthogonal Bases"
Doug Warner
Dept. of Mathematics
Dartmouth College
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November 26, 1996: "Really Mean Calculus -
An Intro to Stochastic Diff. Eq.'s"
Geoff Davis
Dept. of Mathematics
Dartmouth College