AMS Sectional Meeting Program by Special Session
Current as of Tuesday, April 12, 2005 15:08:52
1991 Central Section Meeting
Fargo, ND, October 25-26, 1991
Meeting #869
Associate secretaries: Andy R Magid, AMS amagid@ou.edu
Special Session on Constrained Approximation, Theory and Algorithms
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Friday October 25, 1991, 2:30 p.m.-5:20 p.m.
Special Session on Constrained Approximation, Theory and Algorithms, I
Family Life Center, Room 124, Memorial Union
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2:30 p.m.
Constrained best approximation.
Frank Deutsch*, Pennsylvania State University, University Park
(869-41-106) -
3:00 p.m.
Recent progress in constrained approximation.
Joseph Ward*, Texas A\thsp\&\thsp M University, College Station
(869-41-110) -
3:30 p.m.
A family of natural best L_1-approximants by nondecreasing functions.
David A. Legg, Indiana University-Purdue University, Ft.\ Wayne
Douglas W. Townsend*, Indiana University-Purdue University, Ft.\ Wayne
(869-41-109) -
4:00 p.m.
Strong uniqueness and simultaneous approximation.
Alan Egger, Idaho State University
Robert Huotari*, Idaho State University
Salem M. Sahab, King Abdulaziz University, Saudi Arabia
(869-41-112) -
4:30 p.m.
Constrained L_p-approximation by generalized convex functions.
Vasant A. Ubhaya, North Dakota State University, Fargo
Yuesheng Xu*, North Dakota State University, Fargo
(869-41-111) -
5:00 p.m.
Best interpolation in a strip.
A. L. Dontchev*, Mathematical Reviews, Ann Arbor, Michigan
(869-41-105)
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2:30 p.m.
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Saturday October 26, 1991, 2:00 p.m.-4:50 p.m.
Special Session on Constrained Approximation, Theory and Algorithms, II
Family Life Center, Room 319, Memorial Union
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2:00 p.m.
Constrained approximation at IMSL.
Philip Smith*, International Mathematical Statistics Library Incorporated, Houston, Texas
(869-41-107) -
2:30 p.m.
The Newton method for convex regression, data smoothing, and quadratic programming with bounded constraints.
Wu Li, Old Dominion University
John Swetits*, Old Dominion University
(869-41-108) -
3:00 p.m.
Estimation and approximation using infinite dimensional convex programs with entropy type objectives.
Jonathan M. Borwein*, University of Waterloo
(869-90-32) -
3:30 p.m.
A convex programming approach to constrained approximation.
Jon Borwein, University of Waterloo
Adrian Lewis*, University of Waterloo
(869-49-45) -
4:00 p.m.
Active set algorithms for isotonic regression.
Michael J. Best*, University of Waterloo
(869-49-104) -
4:30 p.m.
Generalized convex functions and best L_p approximation.
Ronald M. Mathsen, North Dakota State University, Fargo
Vasant A. Ubhaya*, North Dakota State University, Fargo
(869-41-103)
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2:00 p.m.