Computing explicitly the ε-subdifferential of a proper function amounts to computing the level set of a convex function namely the conjugate minus a linear function. The resulting theoretical algorithm is applied to the the class of (convex univariate) piecewise linear–quadratic functions for which existing numerical libraries allow practical computations. We visualize the results in a primal, dual, and subdifferential views through several numerical examples. We also provide a visualization of the Brøndsted–Rockafellar theorem.Arts and Sciences, Irving K. Barber School of (Okanagan)Computer Science, Mathematics, Physics and Statistics, Department of (Okanagan)ReviewedFacult
After introducing concepts from convex analysis, we study how to continuously transform one convex f...
Convex optimization is a branch of mathematics dealing with non-linear optimization problems with ad...
AbstractWe give simpler proofs of some known conjugation formulas and subdifferential formulas of co...
Computing explicitly the ε-subdifferential of a proper function amounts to computing the level set o...
Optimization is a branch of mathematics dealing with the selection of the best element(s) (based on ...
Computational Convex Analysis (CCA) studies the computation of convex operators commonly used in con...
The epsilon-subdifferential of convex univariate piecewise linear-quadratic (PLQ) functions can be c...
The objective of this thesis is to develop efficient algorithms and data structures appropriate to s...
At the core of Convex Analysis and its applications are a collection of frequently used operators fo...
The class of piecewise linear-quadratic (PLQ) functions is a very important class of functions in co...
We propose the first algorithm to compute the conjugate of a bivariate Piecewise Linear-Quadratic (P...
AbstractIn applications of convex analysis it is important to be able to calculate the subdifferenti...
Set-functions appear in many areas of computer science and applied mathematics, such as machine lear...
In this paper, we develop a geometric approach to convex subdifferential calculus in finite dimensio...
First, we consider how to efficiently determine whether a piecewise-defined function in 2D is convex...
After introducing concepts from convex analysis, we study how to continuously transform one convex f...
Convex optimization is a branch of mathematics dealing with non-linear optimization problems with ad...
AbstractWe give simpler proofs of some known conjugation formulas and subdifferential formulas of co...
Computing explicitly the ε-subdifferential of a proper function amounts to computing the level set o...
Optimization is a branch of mathematics dealing with the selection of the best element(s) (based on ...
Computational Convex Analysis (CCA) studies the computation of convex operators commonly used in con...
The epsilon-subdifferential of convex univariate piecewise linear-quadratic (PLQ) functions can be c...
The objective of this thesis is to develop efficient algorithms and data structures appropriate to s...
At the core of Convex Analysis and its applications are a collection of frequently used operators fo...
The class of piecewise linear-quadratic (PLQ) functions is a very important class of functions in co...
We propose the first algorithm to compute the conjugate of a bivariate Piecewise Linear-Quadratic (P...
AbstractIn applications of convex analysis it is important to be able to calculate the subdifferenti...
Set-functions appear in many areas of computer science and applied mathematics, such as machine lear...
In this paper, we develop a geometric approach to convex subdifferential calculus in finite dimensio...
First, we consider how to efficiently determine whether a piecewise-defined function in 2D is convex...
After introducing concepts from convex analysis, we study how to continuously transform one convex f...
Convex optimization is a branch of mathematics dealing with non-linear optimization problems with ad...
AbstractWe give simpler proofs of some known conjugation formulas and subdifferential formulas of co...