#### Filter Results:

- Full text PDF available (16)

#### Publication Year

1989

2015

- This year (0)
- Last 5 years (1)
- Last 10 years (9)

#### Publication Type

#### Co-author

#### Journals and Conferences

Learn More

Introduction Since its popularization in the late s Sequential Quadratic Program ming SQP has arguably become the most successful method for solving nonlinearly constrained optimization problems Asâ€¦ (More)

- Paul T. Boggs, Janet R. Donaldson, Richard H. Byrd, Bobby Schnabel
- ACM Trans. Math. Softw.
- 1989

In this paper, we describe ODRPACK, a software package for the weighted orthogonal distance regression problem. This software is an implementation of the algorithm described in [2] for finding theâ€¦ (More)

Preserving Lagrangian structure in nonlinear model reduction with application to structural dynamics

- Kevin Carlberg, Ray S. Tuminaro, Paul T. Boggs
- SIAM J. Scientific Computing
- 2015

This work proposes a model-reduction methodology that preserves Lagrangian structure (equivalently Hamiltonian structure) and achieves computational efficiency in the presence of high-orderâ€¦ (More)

- Paul T. Boggs, Anthony J. Kearsley, Jon W. Tolle
- SIAM Journal on Optimization
- 1999

We provide an eeective and eecient implementation of a sequential quadratic programming (SQP) algorithm for the general large scale nonlinear programming problem. In this algorithm the quadraticâ€¦ (More)

We provide a framework for preconditioning nonlinear three-dimensional electromagnetic inverse scattering problems using nonlinear conjugate gradient (NLCG) and limited memory (LM) quasi-Newtonâ€¦ (More)

- Paul T. Boggs
- 2010

Ben-Israel [ 1 ] proposed a method for the solution of the nonlinear least squares problem m'mx^j^\\F(x)\\2 where F: D C R â€”â–º R . This procedure takes the form xk,x = xk â€” F'(xk) F(xk) where F'(xk)â€¦ (More)

Orthogonal Distance Regresson (ODR) is the name given to the computational problem associated with finding the maximum likelihood estimators of parameters in measurement error models in the case ofâ€¦ (More)

- Kevin R. Long, Paul T. Boggs, Bart G. van Bloemen Waanders
- Scientific Programming
- 2012

Sundance is a package in the Trilinos suite designed to provide high-level components for the development of highperformance PDE simulators with built-in capabilities for PDE-constrainedâ€¦ (More)

- Jason W. Zwolak, Paul T. Boggs, Layne T. Watson
- ACM Trans. Math. Softw.
- 2007

ODRPACK (TOMS Algorithm 676) has provided a complete package for weighted orthogonal distance regression for many years. The code is complete with user selectable reporting facilities, numerical andâ€¦ (More)

- Richard Henry Frymuth Jackson, Paul T. Boggs, Stephen G. Nash, Susan Powell
- Math. Program.
- 1991