Michael A. Saunders

80 papers A* 1C 1Journal 73Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Fast and Accurate SVD-Type Updating in Streaming Data.
CoRR
Johannes J. Brust, Michael A. Saunders
2025 J jnl
Iterative methods in GPU-resident linear solvers for nonlinear constrained optimization.
Parallel Comput.
Kasia Swirydowicz, Nicholson Koukpaizan, Maksudul Alam, Shaked Regev, Michael A. Saunders, Slaven Peles
2025 J jnl
MinAres: An Iterative Solver for Symmetric Linear Systems.
SIAM J. Matrix Anal. Appl.
Alexis Montoison, Dominique Orban, Michael A. Saunders
2024 J jnl
An inexact augmented Lagrangian algorithm for unsymmetric saddle-point systems.
CoRR
Na Huang, Yu-Hong Dai, Dominique Orban, Michael A. Saunders
2024 J jnl
Iterative Methods in GPU-Resident Linear Solvers for Nonlinear Constrained Optimization.
CoRR
Kasia Swirydowicz, Nicholson Koukpaizan, Maksudul Alam, Shaked Regev, Michael A. Saunders, Slaven Peles
2024 J jnl
Structured Sketching for Linear Systems.
CoRR
Johannes J. Brust, Michael A. Saunders
2023 J jnl
HyKKT: a hybrid direct-iterative method for solving KKT linear systems.
Optim. Methods Softw.
Shaked Regev, Naiyuan Chiang, Eric Darve, Cosmin G. Petra, Michael A. Saunders, Kasia Swirydowicz, Slaven Peles
2023 J jnl
MinAres: An Iterative Solver for Symmetric Linear Systems.
CoRR
Alexis Montoison, Dominique Orban, Michael A. Saunders
2023 J jnl
On GSOR, the Generalized Successive Overrelaxation Method for Double Saddle-Point Problems.
SIAM J. Sci. Comput.
Na Huang, Yu-Hong Dai, Dominique Orban, Michael A. Saunders
2023 J jnl
PLSS: A Projected Linear Systems Solver.
SIAM J. Sci. Comput.
Johannes J. Brust, Michael A. Saunders
2023 J jnl
Properties of semi-conjugate gradient methods for solving unsymmetric positive definite linear systems.
Optim. Methods Softw.
Na Huang, Yu-Hong Dai, Dominique Orban, Michael A. Saunders
2022 J jnl
A semi-conjugate gradient method for solving unsymmetric positive definite linear systems.
CoRR
Na Huang, Yu-Hong Dai, Dominique Orban, Michael A. Saunders
2022 J jnl
Large-Scale Optimization with Linear Equality Constraints Using Reduced Compact Representation.
SIAM J. Sci. Comput.
Johannes J. Brust, Roummel F. Marcia, Cosmin G. Petra, Michael A. Saunders
2022 J jnl
Linear solvers for power grid optimization problems: A review of GPU-accelerated linear solvers.
Parallel Comput.
Kasia Swirydowicz, Eric Darve, Wesley B. Jones, Jonathan Maack, Shaked Regev, Michael A. Saunders, Stephen J. Thomas, Slaven Peles
2022 J jnl
Linear systems arising in interior methods for convex optimization: a symmetric formulation with bounded condition number.
Optim. Methods Softw.
Alexandre Ghannad, Dominique Orban, Michael A. Saunders
2022 J jnl
On GSOR, the Generalized Successive Overrelaxation Method for Double Saddle-Point Problems.
CoRR
Na Huang, Yu-Hong Dai, Dominique Orban, Michael A. Saunders
2022 J jnl
PLSS: A Projected Linear Systems Solver.
CoRR
Johannes J. Brust, Michael A. Saunders
2021 J jnl
A Hybrid Direct-Iterative Method for Solving KKT Linear Systems.
CoRR
Shaked Regev, Naiyuan Chiang, Eric Darve, Cosmin G. Petra, Michael A. Saunders, Kasia Swirydowicz, Slaven Peles
2021 J jnl
A Julia implementation of Algorithm NCL for constrained optimization.
CoRR
Ding Ma, Dominique Orban, Michael A. Saunders
2021 J jnl
Large-scale Optimization with Linear Equality Constraints using Reduced Compact Representation.
CoRR
Johannes J. Brust, Roummel F. Marcia, Cosmin G. Petra, Michael A. Saunders
2021 J jnl
Linear solvers for power grid optimization problems: a review of GPU-accelerated linear solvers.
CoRR
Kasia Swirydowicz, Eric Darve, Wesley B. Jones, Jonathan Maack, Shaked Regev, Michael A. Saunders, Stephen J. Thomas, Slaven Peles
2021 J jnl
Toeplitz Least Squares Problems, Fast Algorithms and Big Data.
CoRR
Ali Eshragh, Oliver Di Pietro, Michael A. Saunders
2020 J jnl
Implementing a Smooth Exact Penalty Function for Equality-Constrained Nonlinear Optimization.
SIAM J. Sci. Comput.
Ron Estrin, Michael P. Friedlander, Dominique Orban, Michael A. Saunders
2020 J jnl
Implementing a Smooth Exact Penalty Function for General Constrained Nonlinear Optimization.
SIAM J. Sci. Comput.
Ron Estrin, Michael P. Friedlander, Dominique Orban, Michael A. Saunders
2019 J jnl
DynamicME: dynamic simulation and refinement of integrated models of metabolism and protein expression.
BMC Syst. Biol.
Laurence Yang, Ali Ebrahim, Colton J. Lloyd, Michael A. Saunders, Bernhard O. Palsson
2019 A* conf
Estimating Cellular Goals from High-Dimensional Biological Data.
KDD
Laurence Yang, Michael A. Saunders, Jean-Christophe Lachance, Bernhard O. Palsson, José Bento
2019 J jnl
Euclidean-Norm Error Bounds for SYMMLQ and CG.
SIAM J. Matrix Anal. Appl.
Ron Estrin, Dominique Orban, Michael A. Saunders
2019 J jnl
Implementing a smooth exact penalty function for equality-constrained nonlinear optimization.
CoRR
Ron Estrin, Michael P. Friedlander, Dominique Orban, Michael A. Saunders
2019 J jnl
Implementing a smooth exact penalty function for general constrained nonlinear optimization.
CoRR
Ron Estrin, Michael P. Friedlander, Dominique Orban, Michael A. Saunders
2019 J jnl
LNLQ: An Iterative Method for Least-Norm Problems with an Error Minimization Property.
SIAM J. Matrix Anal. Appl.
Ron Estrin, Dominique Orban, Michael A. Saunders
2019 J jnl
LSLQ: An Iterative Method for Linear Least-Squares with an Error Minimization Property.
SIAM J. Matrix Anal. Appl.
Ron Estrin, Dominique Orban, Michael A. Saunders
2017 J jnl
Compile-Time Symbolic Differentiation Using C++ Expression Templates.
CoRR
Drosos Kourounis, Leonidas Gergidis, Michael A. Saunders, Andrea Walther, Olaf Schenk
2016 — conf
Feature-distributed sparse regression: a screen-and-clean approach.
NIPS
Jiyan Yang, Michael W. Mahoney, Michael A. Saunders, Yuekai Sun
2016 J jnl
Heart rate analysis by sparse representation for acute pain detection.
Medical Biol. Eng. Comput.
Shai Tejman-Yarden, Ofer Levi, Alex Beizerov, Yisrael Parmet, Tu Viet Nguyen, Michael A. Saunders, Zvia Rudich, James C. Perry, Dewleen G. Baker, Tobias Möller-Bertram
2016 J jnl
solveME: fast and reliable solution of nonlinear ME models.
BMC Bioinform.
Laurence Yang, Ding Ma, Ali Ebrahim, Colton J. Lloyd, Michael A. Saunders, Bernhard O. Palsson
2015 J jnl
A Practical Factorization of a Schur Complement for PDE-Constrained Distributed Optimal Control.
J. Sci. Comput.
Youngsoo Choi, Charbel Farhat, Walter Murray, Michael A. Saunders
2014 — conf
A flexible modeling framework for coupled matrix and tensor factorizations.
EUSIPCO
Evrim Acar, Mathias Nilsson, Michael A. Saunders
2014 J jnl
Algorithm 937: MINRES-QLP for symmetric and Hermitian linear equations and least-squares problems.
ACM Trans. Math. Softw.
Sou-Cheng T. Choi, Michael A. Saunders
2014 J jnl
LSRN: A Parallel Iterative Solver for Strongly Over- or Underdetermined Systems.
SIAM J. Sci. Comput.
Xiangrui Meng, Michael A. Saunders, Michael W. Mahoney
2014 J jnl
Proximal Newton-Type Methods for Minimizing Composite Functions.
SIAM J. Optim.
Jason D. Lee, Yuekai Sun, Michael A. Saunders
2013 J jnl
ALGORITHM xxx: MINRES-QLP for Singular Symmetric and Hermitian Linear Equations and Least-Squares Problems
CoRR
Sou-Cheng T. Choi, Michael A. Saunders
2013 J jnl
Equispaced Pareto front construction for constrained bi-objective optimization.
Math. Comput. Model.
Víctor Pereyra, Michael A. Saunders, José Castillo
2013 J jnl
Robust flux balance analysis of multiscale biochemical reaction networks.
BMC Bioinform.
Yuekai Sun, Ronan M. T. Fleming, Ines Thiele, Michael A. Saunders
2012 J jnl
Proximal Newton-type Methods for Minimizing Convex Objective Functions in Composite Form
CoRR
Jason D. Lee, Yuekai Sun, Michael A. Saunders
2012 — conf
Proximal Newton-type methods for convex optimization.
NIPS
Jason D. Lee, Yuekai Sun, Michael A. Saunders
2011 J jnl
LSMR: An Iterative Algorithm for Sparse Least-Squares Problems.
SIAM J. Sci. Comput.
David Chin-Lung Fong, Michael A. Saunders
2011 J jnl
LSRN: A Parallel Iterative Solver for Strongly Over- or Under-Determined Systems
CoRR
Xiangrui Meng, Michael A. Saunders, Michael W. Mahoney
2011 J jnl
MINRES-QLP: A Krylov Subspace Method for Indefinite or Singular Symmetric Systems.
SIAM J. Sci. Comput.
Sou-Cheng T. Choi, Christopher C. Paige, Michael A. Saunders
2010 J jnl
LSMR: An iterative algorithm for sparse least-squares problems
CoRR
David Chin-Lung Fong, Michael A. Saunders
2010 J jnl
MINRES-QLP: a Krylov subspace method for indefinite or singular symmetric systems
CoRR
Sou-Cheng T. Choi, Christopher C. Paige, Michael A. Saunders
2009 J jnl
Nonconservative Robust Control: Optimized and Constrained Sensitivity Functions.
IEEE Trans. Control. Syst. Technol.
Carl-Magnus Fransson, Torsten Wik, Bengt Lennartson, Michael A. Saunders, Per Olof Gutman
2009 J jnl
Stabilizing Policy Improvement for Large-Scale Infinite-Horizon Dynamic Programming.
SIAM J. Matrix Anal. Appl.
Michael J. O'Sullivan, Michael A. Saunders
2008 J jnl
George B. Dantzig and systems optimization.
Discret. Optim.
Philip E. Gill, Walter Murray, Michael A. Saunders, John A. Tomlin, Margaret H. Wright
2008 J jnl
Variational Bayesian Image Restoration Based on a Product of t-Distributions Image Prior.
IEEE Trans. Image Process.
Giannis K. Chantas, Nikolas P. Galatsanos, Aristidis Likas, Michael A. Saunders
2007 — ch.
Methods for modifying matrix factorizations.
Milestones in Matrix Computation
Gene H. Golub, Philip E. Gill, Walter Murray, Michael A. Saunders
2006 J jnl
SpaseLoc: An Adaptive Subproblem Algorithm for Scalable Wireless Sensor Network Localization.
SIAM J. Optim.
Michael W. Carter, Holly H. Jin, Michael A. Saunders, Yinyu Ye
2005 J jnl
A Globally Convergent Linearly Constrained Lagrangian Method for Nonlinear Optimization.
SIAM J. Optim.
Michael P. Friedlander, Michael A. Saunders
2005 J jnl
SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization.
SIAM Rev.
Philip E. Gill, Walter Murray, Michael A. Saunders
2004 C conf
A bisection algorithm for the mixed μ upper bound and its supremum.
ACC
Carl-Magnus Fransson, Michael A. Saunders
2002 J jnl
SNOPT: An SQP Algorithm for Large-Scale Constrained Optimization.
SIAM J. Optim.
Philip E. Gill, Walter Murray, Michael A. Saunders
2001 J jnl
Atomic Decomposition by Basis Pursuit.
SIAM Rev.
Scott Shaobing Chen, David L. Donoho, Michael A. Saunders
1998 J jnl
Atomic Decomposition by Basis Pursuit.
SIAM J. Sci. Comput.
Scott Shaobing Chen, David L. Donoho, Michael A. Saunders
1996 J jnl
On the Stability of Cholesky Factorization for Symmetric Quasidefinite Systems.
SIAM J. Matrix Anal. Appl.
Philip E. Gill, Michael A. Saunders, Joseph R. Shinnerl
1995 J jnl
A Practical Interior-Point Method for Convex Programming.
SIAM J. Optim.
Florian Jarre, Michael A. Saunders
1995 J jnl
Primal - dual methods for linear programming.
Math. Program.
Philip E. Gill, Walter Murray, Dulce B. Ponceleon, Michael A. Saunders
1994 J jnl
Commentary - Major Cholesky Would Feel Proud.
INFORMS J. Comput.
Michael A. Saunders
1994 J jnl
The simplex algorithm with a new primal and dual pivot rule.
Oper. Res. Lett.
Hsin-Der Chen, Panos M. Pardalos, Michael A. Saunders
1992 J jnl
A Block-LU Update for Large-Scale Linear Programming.
SIAM J. Matrix Anal. Appl.
Samuel K. Eldersveld, Michael A. Saunders
1992 J jnl
Preconditioners for Indefinite Systems Arising in Optimization.
SIAM J. Matrix Anal. Appl.
Philip E. Gill, Walter Murray, Dulce B. Ponceleón, Michael A. Saunders
1991 J jnl
Inertia-Controlling Methods for General Quadratic Programming.
SIAM Rev.
Philip E. Gill, Walter Murray, Michael A. Saunders, Margaret H. Wright
1989 J jnl
A practical anti-cycling procedure for linearly constrained optimization.
Math. Program.
Philip E. Gill, Walter Murray, Michael A. Saunders, Margaret H. Wright
1986 J jnl
On projected newton barrier methods for linear programming and an equivalence to Karmarkar's projective method.
Math. Program.
Philip E. Gill, Walter Murray, Michael A. Saunders, John A. Tomlin, Margaret H. Wright
1985 J jnl
Properties of a representation of a basis for the null space.
Math. Program.
Philip E. Gill, Walter Murray, Michael A. Saunders, G. W. Stewart, Margaret H. Wright
1984 J jnl
A weighted gram-schmidt method for convex quadratic programming.
Math. Program.
Philip E. Gill, Nicholas I. M. Gould, Walter Murray, Michael A. Saunders, Margaret H. Wright
1984 J jnl
Procedures for optimization problems with a mixture of bounds and general linear constraints.
ACM Trans. Math. Softw.
Philip E. Gill, Walter Murray, Michael A. Saunders, Margaret H. Wright
1982 J jnl
A note on a sufficient-decrease criterion for a non-derivative step-length procedure.
Math. Program.
Philip E. Gill, Walter Murray, Michael A. Saunders, Margaret H. Wright
1982 J jnl
Algorithm 583: LSQR: Sparse Linear Equations and Least Squares Problems.
ACM Trans. Math. Softw.
Christopher C. Paige, Michael A. Saunders
1982 J jnl
LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares.
ACM Trans. Math. Softw.
Christopher C. Paige, Michael A. Saunders
1978 J jnl
Large-scale linearly constrained optimization.
Math. Program.
Bruce A. Murtagh, Michael A. Saunders
1972 — —
Large-scale linear programming using the Cholesky factorization.
Michael A. Saunders