Object-oriented software for quadratic programming

By E. Gertz, Stephen J. Wright. TOMS, 2003

332 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Control and Systems Engineering, Numerical Analysis

View Paper: https://www.semanticscholar.org/paper/1fd8b80fceb092d4efe71f0ae3431efb89565815

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

In Control and Systems Engineering

In Numerical Analysis

Citations in the corpus

Phase-field modeling of crack propagation in piezoelectric and ferroelectric materials with different electromechanical crack conditions (2012, methodology): “(D.3), we use quadratic programming (Gertz and Wright, 2001, 2003).”
CasADi: a software framework for nonlinear optimization and optimal control (2018, neutral): “OOQP [52] ‘ooqp’ Open-source Interior pointd QP”
HPIPM: a high-performance quadratic programming framework for model predictive control (2020, methodology): “Furthermore, the (partial) condensing routines provided by HPIPM are used as pre-processing step in the solution of these QPs by means of other QP solvers such as qpOASES (Ferreau et al., 2014), qpDUNES (Frasch et al., 2014), OSQP (Stellato et al., 2017), OOQP (Gertz and Wright, 2003).”
Instace-Based AMN Classification for Improved Object Recognition in 2D and 3D Laser Range Data (2007, methodology): “The implementation is based on the C++ library OOQP [Gertz and Wright, 2003].”
Efficient interior point methods for multistage problems arising in receding horizon control (2012, methodology): “Note that some software packages, such as OOQP, can be supplied with a custom linear algebra system.”
Aggregation Functions: A Guide for Practitioners (2007, methodology): “For solving QP problems with sparse matrices we recommend OOQP sparse solver [105], see Appendix A.”
qpOASES: a parametric active-set algorithm for quadratic programming (2014, methodology): “We chose QP solvers that have an appropriate license and provide a Matlab interface: The interior-point code OOQP [24] and the primal and dual active-set and barrier variants of Cplex [37] (CPLEXP, CPLEXD, CPLEXB).”
A Systematic Exploration of Diversity in Machine Translation (2013, methodology): “Our implementation uses OOQP (Gertz and Wright, 2003) to solve the quadratic program in the inner loop, which uses HSL, a collection of Fortran codes for large-scale scientific computation (www.”
Monotonicity Preserving Approximation of Multivariate Scattered Data (2005, methodology): “There is a number of standard methods to solve such a problem [21].”
Interior point methods 25 years later (2012, background): “A general advice is to use a point which is sufficiently far away from the boundary of the positive orthant, that is, for which x and s are “not too small” [4, 38, 78].”
Evolutionary programming as a platform for in silico metabolic engineering (2005, methodology): “html, while MOMA calculations were performed by using an Object oriented quadratic programming package [31].”
A General-Purpose Software Framework for Dynamic Optimization (Een algemene softwareomgeving voor dynamische optimalisatie) (2013, methodology): “General-purpose, sparsity-exploiting QP solvers This includes solvers such as CPLEX [118] or the open-source OOQP [87].”