Computation and Theory in Nonlinear Optimization.
Final technical rept. 15 Nov 92-14 Apr 95,
WISCONSIN UNIV-MADISON DEPT OF INDUSTRIAL ENGINEERING
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The principal objectives of this research project were 1 developing path-following methods for normal-map equations, 2 exploring diffusion methods for global optimization and related stochastic methods, and 3 exploiting convex duality for applications in optimization such as decomposing optimization problems, as well as 4 use of the research results to improve problem-solving ability in applications areas. Progress was achieved in all of these areas, and was documented in nine papers prepared for publication in journals or in edited volumes, as well as one Ph.D. dissertation
- Operations Research