P. Boggs

发表

ODRPACK Software for Weighted Orthogonal Distance Regression.

P. Boggs, R. Byrd, J. R. Donaldson, 1987 .

A Stable and Efficient Algorithm for Nonlinear Orthogonal Distance Regression

P. Boggs, R. Byrd, R. Schnabel, 1987 .

On the Local Convergence of Quasi-Newton Methods for Constrained Optimization

P. Boggs, J. Tolle, Pyng Wang, 1982 .

The Solution of Nonlinear Operator Equations by A-stable Integration Techniques

P. Boggs, 1970 .

Optimizing Over Three-Dimensional Subspaces in an Interior-Point Method for Linear Programming*

Janet E. Rogers, P. Boggs, P. Domich, 1991 .

Sequential Quadratic Programming

Paul T. Boggs, Jon W. Tolle, P. Boggs, 1995, Acta Numerica.

A family of descent functions for constrained optimization

P. Boggs, J. Tolle, 1984 .

Augmented Lagrangians which are quadratic in the multiplier

P. Boggs, J. Tolle, 1980 .

A strategy for global convergence in a sequential quadratic programming algorithm

P. Boggs, J. Tolle, 1989 .

A Practical Algorithm for General Large Scale Nonlinear Optimization Problems

Paul T. Boggs, Jon W. Tolle, Anthony J. Kearsley, 1999, SIAM J. Optim..

A Truncated SQP Algorithm for Large Scale Nonlinear Programming Problems

Anthony J. Kearsley, P. Boggs, J. Tolle, 1992 .

A Global Convergence Analysis of an Algorithm for Large-Scale Nonlinear Optimization Problems

Paul T. Boggs, Jon W. Tolle, Anthony J. Kearsley, 1999, SIAM J. Optim..

The convergence of the Ben-Israel iteration for nonlinear least squares problems

P. Boggs, 1976 .

A stability analysis for perturbed nonlinear iterative methods

P. Boggs, J. Dennis, 1976 .

Orthogonal Distance Regression ∗

Janet E. Rogers, P. Boggs, J. R. Donaldson, 2009 .

User's reference guide for ODRPACK version 2.01:: software for weighted orthogonal distance regression

Janet E. Rogers, P. Boggs, R. Byrd, 1992 .

An interior-point method for linear and quadratic programming problems

Paul T. Boggs, Janet E. Rogers, Paul D Domich, 1991 .

An interior point method for general large-scale quadratic programming problems

Paul D. Domich, Paul T. Boggs, Janet E. Rogers, 1996, Ann. Oper. Res..

Sequential quadratic programming for large-scale nonlinear optimization

P. Boggs, J. Tolle, 2000 .

Hierarchical Control of a Linear Diffusion Equation

Paul T. Boggs, Jon W. Tolle, Anthony J. Kearsley, 2003 .

A Continuous Analogue Analysis of Nonlinear Iterative Methods

John E. Dennis, Paul T. Boggs, P. Boggs, 1974 .

User's reference guide for ODRPACK:: software for weighted orthogonal distance regression version 1.7

Richard H. Byrd, Robert B. Schnabel, Paul T. Boggs, 1989 .

An efficient strategy for utilizing a merit function in nonlinear programming algorithms

Paul T. Boggs, Jon W. Tolle, P. Boggs, 1986 .

Adaptive, Limited-Memory BFGS Algorithms for Unconstrained Optimization

Richard H. Byrd, Paul T. Boggs, P. Boggs, 2019, SIAM J. Optim..

Guidelines for reporting results of computational experiments. Report of the ad hoc committee

Stephen G. Nash, Paul T. Boggs, Susan Powell, 1991, Math. Program..

On the convergence behavior of trajectories for linear programming

P. Boggs, P. Domich, C. Witzgall, 1988 .

Rapid Source Inversion for Chemical/Biological Attacks, Part 1: The Steady-State Case

Paul T. Boggs, Kevin R. Long, Stephen B. Margolis, 2006, SIAM J. Optim..

Determining the Bayesian optimal sampling strategy in a hierarchical system.

Matthew D. Grace, Philippe Pierre Pebay, Paul T. Boggs, 2010 .

Sundance: High-level software for PDE-constrained optimization

Paul T. Boggs, Kevin R. Long, Bart Gustaaf van Bloemen Waanders, 2012 .

A computational examination of orthogonal distance regression

Robert B. Schnabel, Paul T. Boggs, Clifford H. Spiegelman, 1988 .

Efficient structure-preserving model reduction for nonlinear mechanical systems with application to structural dynamics.

Paul T. Boggs, Kevin Carlberg, Raymond S. Tuminaro, 2012 .

AN ALGORITHM, BASED ON SINGULAR PERTURBATION THEORY, FOR ILL-CONDITIONED MINIMIZATION PROBLEMS*

Paul T. Boggs, P. Boggs, 1977 .

Using Discrete and Continuous Models to Solve Nanoporous Flow Optimization Problems

P. Boggs, S. Nash, 2015 .

Optimal 3-dimensional methods for linear programming

Paul D. Domich, Paul T. Boggs, Christoph J. Witzgall, 1989 .

An Adaptive Limited-Memory BFGS Method.

Richard H. Byrd, Paul T. Boggs, P. Boggs, 2007 .

Solution accelerators for large-scale three-dimensional electromagnetic inverse problems : Electromagnetic characterization of buried obstacles

P. Boggs, G. Newman, 2004 .

Moving boundary problems

Paul T. Boggs, Alan D. Solomon, P. Boggs, 1978 .

Practical Reliability and Uncertainty Quantification in Complex Systems: Final Report

Matthew D. Grace, Youssef M. Marzouk, Matthew D. Grace, 2009 .

Algorithm 676: ODRPACK: software for weighted orthogonal distance regression

Richard H. Byrd, Paul T. Boggs, Bobby Schnabel, 1989, TOMS.

Algorithm 869: ODRPACK95: A weighted orthogonal distance regression code with bound constraints

Layne T. Watson, Paul T. Boggs, Jason W. Zwolak, 2007, TOMS.

A new algorithm for the Chebyshev solution of overdetermined linear systems

Paul T. Boggs, P. Boggs, 1974 .

Convergence Properties of a Class of Rank-two Updates

Paul T. Boggs, Jon W. Tolle, P. Boggs, 1994, SIAM J. Optim..

DART system analysis.

Edward J. Walsh, Paul T. Boggs, Alan Althsuler, 2005 .

Preserving Lagrangian Structure in Nonlinear Model Reduction with Application to Structural Dynamics

Paul T. Boggs, Kevin Carlberg, Ray S. Tuminaro, 2014, SIAM J. Sci. Comput..

Large Scale Non-Linear Programming for PDE Constrained Optimization

Paul T. Boggs, Kevin R. Long, Andrew G. Salinger, 2002 .

Merit functions for nonlinear programming problems

Paul T. Boggs, Jon W. Tolle, P. Boggs, 1982 .

Solution Accelerators For Large-scale 3D Electromagnetic Inverse Problems

Paul T. Boggs, Gregory A. Newman, P. Boggs, 2004 .

LARGE SCALE ELECTROMAGNETIC INVERSE PROBLEMS:

P. Boggs, G. Newman, 2004 .

Algorithmic Enhancements to the Method of Centers for Linear Programming Problems

Paul D. Domich, Paul T. Boggs, Christoph Witzgall, 1989, INFORMS J. Comput..

Sundance: High-level software for PDE-constrained optimization

Paul T. Boggs, Kevin R. Long, Bart G. van Bloemen Waanders, 2012, Sci. Program..

Bayesian methods for estimating the reliability in complex hierarchical networks (interim report).

Philippe Pierre Pebay, Paul T. Boggs, Youssef M. Marzouk, 2007 .

Risk-based decision making for staggered bioterrorist attacks: Resource allocation and risk reduction in "reload" scenarios

Paul T. Boggs, Jaideep Ray, Mark Andrew Ehlen, 2009 .