activity
20182020
collaborators

9 papers

math.OC2020

Centering Projection Methods for Wavelet Feasibility Problems

Neil Dizon, Jeffrey Hogan, Scott B. Lindstrom

We revisit the feasibility approach to the construction of compactly supported smooth orthogonal wavelets on the line. We highlight its flexibility and illustrate how symmetry and…

math.FA2020

A Note on Cores and Quasi Relative Interiors in Partially Finite Convex Programming

Scott B. Lindstrom

The problem of minimizing an entropy functional subject to linear constraints is a useful example of partially finite convex programming. In the 1990s, Borwein and Lewis provided b…

math.FA2019

The Generalized Bregman Distance

Regina S. Burachik, Minh N. Dao, Scott B. Lindstrom

Recently, a new distance has been introduced for the graphs of two point-to-set operators, one of which is maximally monotone. When both operators are the subdifferential of a prop…

math.DG2019

Phase Portraits of Hyperbolic Geometry

Scott B. Lindstrom, Paul Vrbik

Phase plotting is a useful way of visualising functions on complex space. We reinvent the method in the context of hyperbolic geometry, and we use it to plot functions on various r…

math.OC2018

Comparing Averaged Relaxed Cutters and Projection Methods: Theory and Examples

R. Díaz Millán, Scott B. Lindstrom, Vera Roshchina

We focus on the convergence analysis of averaged relaxations of cutters, specifically for variants that---depending upon how parameters are chosen---resemble \emph{alternating proj…

math.OC2018

Survey: Sixty Years of Douglas--Rachford

Scott B. Lindstrom, Brailey Sims

The Douglas--Rachford method is a splitting method frequently employed for finding zeroes of sums of maximally monotone operators. When the operators in question are normal cones o…