Matthew K. Tam

28 papers Journal 28
YearRankTypeTitle / Venue / Authors
2026 J jnl
The golden ratio primal-dual algorithm with two new stepsize rules for convex-concave saddle point problems.
Comput. Optim. Appl.
Santanu Soe, Matthew K. Tam, Vellaichamy Vetrivel
2024 J jnl
Frugal and decentralised resolvent splittings defined by nonexpansive operators.
Optim. Lett.
Matthew K. Tam
2024 J jnl
Single-Projection Procedure for Infinite Dimensional Convex Optimization Problems.
SIAM J. Optim.
Hoa T. Bui, Regina Sandra Burachik, Evgeni A. Nurminski, Matthew K. Tam
2023 J jnl
A First-Order Algorithm for Decentralised Min-Max Problems.
CoRR
Yura Malitsky, Matthew K. Tam
2023 J jnl
Bregman-Golden Ratio Algorithms for Variational Inequalities.
J. Optim. Theory Appl.
Matthew K. Tam, Daniel J. Uteda
2023 J jnl
Distributed forward-backward methods for ring networks.
Comput. Optim. Appl.
Francisco J. Aragón Artacho, Yura Malitsky, Matthew K. Tam, David Torregrosa-Belén
2023 J jnl
Resolvent splitting for sums of monotone operators with minimal lifting.
Math. Program.
Yura Malitsky, Matthew K. Tam
2022 J jnl
Frugal and Decentralised Resolvent Splittings Defined by Nonexpansive Operators.
CoRR
Matthew K. Tam
2021 J jnl
Constraint Reduction Reformulations for Projection Algorithms with Applications to Wavelet Construction.
J. Optim. Theory Appl.
Minh N. Dao, Neil D. Dizon, Jeffrey A. Hogan, Matthew K. Tam
2021 J jnl
Convergence rates for boundedly regular systems.
Adv. Comput. Math.
Ernö Robert Csetnek, Andrew C. Eberhard, Matthew K. Tam
2021 J jnl
Distributed Forward-Backward Methods without Central Coordination.
CoRR
Francisco J. Aragón Artacho, Yura Malitsky, Matthew K. Tam, David Torregrosa-Belén
2021 J jnl
Gearhart-Koshy acceleration for affine subspaces.
Oper. Res. Lett.
Matthew K. Tam
2021 J jnl
Method of Alternating Projection for the Absolute Value Equation.
CoRR
Jan Harold Alcantara, Jein-Shan Chen, Matthew K. Tam
2021 J jnl
Strengthened splitting methods for computing resolvents.
Comput. Optim. Appl.
Francisco J. Aragón Artacho, Rubén Campoy, Matthew K. Tam
2020 J jnl
A Forward-Backward Splitting Method for Monotone Inclusions Without Cocoercivity.
SIAM J. Optim.
Yura Malitsky, Matthew K. Tam
2020 J jnl
Backward-Forward-Reflected-Backward Splitting for Three Operator Monotone Inclusions.
Appl. Math. Comput.
Janosch Rieger, Matthew K. Tam
2020 J jnl
The Douglas-Rachford algorithm for convex and nonconvex feasibility problems.
Math. Methods Oper. Res.
Francisco J. Aragón Artacho, Rubén Campoy, Matthew K. Tam
2019 J jnl
A Lyapunov-type approach to convergence of the Douglas-Rachford algorithm for a nonconvex setting.
J. Glob. Optim.
Minh N. Dao, Matthew K. Tam
2019 J jnl
Union Averaged Operators with Applications to Proximal Algorithms for Min-Convex Functions.
J. Optim. Theory Appl.
Minh N. Dao, Matthew K. Tam
2018 J jnl
A feasibility approach for constructing combinatorial designs of circulant type.
J. Comb. Optim.
Francisco J. Aragón Artacho, Rubén Campoy, Ilias S. Kotsireas, Matthew K. Tam
2018 J jnl
Algorithms based on unions of nonexpansive maps.
Optim. Lett.
Matthew K. Tam
2018 J jnl
Quantitative Convergence Analysis of Iterated Expansive, Set-Valued Mappings.
Math. Oper. Res.
D. Russell Luke, Nguyen Hieu Thao, Matthew K. Tam
2018 J jnl
Symbolic computation with monotone operators.
ACM Commun. Comput. Algebra
Florian Lauster, D. Russell Luke, Matthew K. Tam
2017 J jnl
Convergence Rate Analysis for Averaged Fixed Point Iterations in Common Fixed Point Problems.
SIAM J. Optim.
Jonathan M. Borwein, Guoyin Li, Matthew K. Tam
2016 J jnl
Global behavior of the Douglas-Rachford method for a nonconvex feasibility problem.
J. Glob. Optim.
Francisco J. Aragón Artacho, Jonathan M. Borwein, Matthew K. Tam
2015 J jnl
Proximal Heterogeneous Block Implicit-Explicit Method and Application to Blind Ptychographic Diffraction Imaging.
SIAM J. Imaging Sci.
Robert Hesse, D. Russell Luke, Shoham Sabach, Matthew K. Tam
2014 J jnl
A Cyclic Douglas-Rachford Iteration Scheme.
J. Optim. Theory Appl.
Jonathan M. Borwein, Matthew K. Tam
2014 J jnl
Recent Results on Douglas-Rachford Methods for Combinatorial Optimization Problems.
J. Optim. Theory Appl.
Francisco J. Aragón Artacho, Jonathan M. Borwein, Matthew K. Tam