
NSF Org: |
DMS Division Of Mathematical Sciences |
Recipient: |
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Initial Amendment Date: | July 27, 2007 |
Latest Amendment Date: | July 27, 2007 |
Award Number: | 0707220 |
Award Instrument: | Standard Grant |
Program Manager: |
Michael Steuerwalt
DMS Division Of Mathematical Sciences MPS Directorate for Mathematical and Physical Sciences |
Start Date: | August 1, 2007 |
End Date: | July 31, 2011 (Estimated) |
Total Intended Award Amount: | $263,084.00 |
Total Awarded Amount to Date: | $263,084.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
2601 WOLF VILLAGE WAY RALEIGH NC US 27695-0001 (919)515-2444 |
Sponsor Congressional District: |
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Primary Place of Performance: |
2601 WOLF VILLAGE WAY RALEIGH NC US 27695-0001 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): |
APPLIED MATHEMATICS, COMPUTATIONAL MATHEMATICS |
Primary Program Source: |
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Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.049 |
ABSTRACT
Kelley
0707220
The principal investigator studies numerical methods for the
solution of nonlinear equations and optimization problems with a
focus on continuation methods, nonsmooth problems, and multilevel
methods for integral equations. The main topics of the research
are (1) the development and analysis of multilevel continuation
algorithms for optimization problems with integral equation
constraints and the application of those methods in simulating
atomic and molecular fluids, (2) the design and analysis of
continuation/quasi-Newton methods for nonsmooth nonlinear least
squares, with applications to calibration of models of blood
flow, (3) continued study of the conditioning of the linear
systems and eigenproblems that arise when pseudo-arclength
continuation is used in bifurcation analysis, and (4) multi-model
methods in which one physical model, based on differential or
integral equations, for example, is used as a preconditioner for
a solver which is based on a more accurate, more expensive to
evaluate model, such as a molecular dynamics or stochastic
simulation.
Nonlinear equations and optimization problems are commonly
encountered in science and engineering. Motivated by
applications in chemistry and medicine, the principal
investigator studies equations with multiple solutions, the
challenge being to determine which of those solutions represents
the real world and which cannot be seen in actual physical
systems, and optimization problems for which standard methods and
computer codes fail. This work should lead to new approaches
useful in many branches of science and engineering.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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