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Title:The Theory and Applications of Discrete Constrained Optimization Using Lagrange Multipliers
Author(s):Wu, Zhe
Doctoral Committee Chair(s):Wah, Benjamin W.
Department / Program:Computer Science
Discipline:Computer Science
Degree Granting Institution:University of Illinois at Urbana-Champaign
Degree:Ph.D.
Genre:Dissertation
Subject(s):Computer Science
Abstract:Finally, we demonstrate the efficiency and effectiveness of our proposed theory and methods. DLM is able to solve systematically general discrete, continuous and mixed-integer constrained benchmarks, which is a task not achieved by previous methods. DLM has found better multiplierless filter-bank designs that improve over all of Johnston's benchmark designs using a maximum of three to six ONE bits in each filter coefficient instead of using floating-point representations. Finally, DLM has found efficiently new solutions for satisfiability problems that were not possible by existing local- and global search techniques.
Issue Date:2001
Type:Text
Language:English
Description:210 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2001.
URI:http://hdl.handle.net/2142/81578
Other Identifier(s):(MiAaPQ)AAI3017257
Date Available in IDEALS:2015-09-25
Date Deposited:2001


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