HQP/OMUSES

Huge Quadratic Programming ODE/DAE, automatic differentiation, own format or ASCEND or Simulink input, HQP to solve NLPs (C, C++, f77, Tcl), motivated by discrete-time optimal control problems, solves general NLP using Powell’s or Schittkowski’s SQP with Newton-type barrier QP solver, needs Tcl C++, SIF, or ASCEND input (Source: http://plato.asu.edu)

Keywords for this software

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References in zbMATH (referenced in 9 articles )

Showing results 1 to 9 of 9.
Sorted by year (citations)

  1. Hoeher, P. A.: OFDM data detection and channel estimation (2017)
  2. Moradi, Hamed; Vossoughi, Gholamreza: State estimation, positioning and anti-swing robust control of traveling crane-lifter system (2015)
  3. Pytlak, Radosław; Tarnawski, Tomasz; Fajdek, Bartłomiej; Stachura, Marcin: Interactive dynamic optimization server -- connecting one modelling language with many solvers (2014)
  4. Petereit, Janko; Bernard, Thomas: Real-time nonlinear model predictive control of a glass forming process using a finite element model (2013)
  5. Lantoine, Gregory; Russell, Ryan P.: A hybrid differential dynamic programming algorithm for constrained optimal control problems. I: Theory (2012)
  6. Błaszczyk, Jacek; Karbowski, Andrzej; Malinowski, Krzysztof: Object library of algorithms for dynamic optimization problems: benchmarking SQP and nonlinear interior point methods (2007)
  7. Romanenko, Andrey; Santos, Lino O.: A nonlinear model predictive control framework as free software: outlook and progress report (2007)
  8. Boggs, Paul T.; Kearsley, Anthony J.; Tolle, Jon W.: A global convergence analysis of an algorithm for large-scale nonlinear optimization problems (1999)
  9. Franke, Rüdiger; Arnold, Eckhard: Applying new numerical algorithms to the solution of discrete-time optimal control problems (1997)