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Computation of the epsilon-subdifferential of convex piecewise linear-quadratic functions in optimal worst-case time Deepak, Kumar; Lucet, Yves
Abstract
The epsilon-subdifferential of convex univariate piecewise linear-quadratic (PLQ) functions can be computed in linear worst-case time complexity as the level-set of a convex function. Using binary search, we improve the complexity to logarithmic worst-case time, and prove such complexity is optimal. In addition, a new algorithm to compute the entire graph of the epsilon-subdifferential in (optimal) linear time is presented. Both algorithms are not limited to convex PLQ functions but are also applicable to any convex piecewise-defined functions with little restrictions.
Item Metadata
Title |
Computation of the epsilon-subdifferential of convex piecewise linear-quadratic functions in optimal worst-case time
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Creator | |
Publisher |
Springer
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Date Issued |
2018
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Description |
The epsilon-subdifferential of convex univariate piecewise linear-quadratic (PLQ) functions can be computed in linear worst-case time complexity as the level-set of a convex function. Using binary search, we improve the complexity to logarithmic worst-case time, and prove such complexity is optimal. In addition, a new algorithm to compute the entire graph of the epsilon-subdifferential in (optimal) linear time is presented. Both algorithms are not limited to convex PLQ functions but are also applicable to any convex piecewise-defined functions with little restrictions.
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Subject | |
Genre | |
Type | |
Language |
eng
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Date Available |
2019-07-17
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution-NonCommercial-NoDerivatives 4.0 International
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DOI |
10.14288/1.0379903
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URI | |
Affiliation | |
Citation |
Kumar, D., & Lucet, Y. (2018). Computation of the epsilon-subdifferential of convex piecewise linear-quadratic functions in optimal worst-case time. Set-Valued and Variational Analysis.
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Publisher DOI |
10.1007/s11081-017-9366-1
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Peer Review Status |
Reviewed
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Scholarly Level |
Faculty; Researcher
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Citations and Data
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International