NLPQL: a Fortran subroutine for solving constrained nonlinear programming problems. NLPQL is a FORTRAN implementation of a sequential quadratic programming method for solving nonlinearly constrained optimization problems with differentiable objective and constraint functions. At each iteration, the search direction is the solution of a quadratic programming subproblem. This paper discusses the organization of NLPQL, including the formulation of the subproblem and the information that must be provided by a user. A summary is given of the performance of different algorithmic options of NLPQL on a collection of test problems (115 hand-selected or application problems, 320 randomly generated problems). The performance of NLPQL is compared with that of some other available codes.

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  1. Edrisi Tabriz, Yousef; Lakestani, Mehrdad: Direct solution of nonlinear constrained quadratic optimal control problems using B-spline functions. (2015)
  2. Sachsenberg, Björn; Schittkowski, Klaus: A combined SQP-IPM algorithm for solving large-scale nonlinear optimization problems (2015)
  3. Smith, J.MacGregor: Optimal workload allocation in closed queueing networks with state dependent queues (2015)
  4. Varshney, Rahul; Khan, M.G.M.; Fatima, Ummatul; Ahsan, M.J.: Integer compromise allocation in multivariate stratified surveys (2015)
  5. Paffrath, M.; Wever, U.: An efficient algorithm for a certain class of robust optimization problems (2014)
  6. Alwardi, H.; Wang, S.; Jennings, L.S.; Richardson, S.: An adaptive least-squares collocation radial basis function method for the HJB equation (2012)
  7. Exler, Oliver; Lehmann, Thomas; Schittkowski, Klaus: A comparative study of SQP-type algorithms for nonlinear and nonconvex mixed-integer optimization (2012)
  8. Gerzen, Nikolai; Materna, Daniel; Barthold, Franz-Joseph: The inner structure of sensitivities in nodal based shape optimisation (2012)
  9. Mashayekhi, S.; Ordokhani, Y.; Razzaghi, M.: Hybrid functions approach for nonlinear constrained optimal control problems (2012)
  10. Perez, Ruben E.; Jansen, Peter W.; Martins, Joaquim R.R.A.: PyOpt: a python-based object-oriented framework for nonlinear constrained optimization (2012)
  11. Varshney, Rahul; Najmussehar; Ahsan, M.J.: An optimum multivariate stratified double sampling design in presence of non-response (2012)
  12. Varshney, Rahul; Najmussehar; Ahsan, M.J.: Estimation of more than one parameters in stratified sampling with fixed budget (2012)
  13. Schittkowski, K.: A robust implementation of a sequential quadratic programming algorithm with successive error restoration (2011)
  14. Varshney, Rahul; Ahsan, M.J.; Khan, M.G.M.: An optimum multivariate stratified sampling design with nonresponse: a lexicographic goal programming approach (2011)
  15. Xu, Bin; Chen, Nan; Che, Huajun: An integrated method of multi-objective optimization for complex mechanical structure (2010)
  16. Ciavolino, Enrico; Al-Nasser, Amjad D.: Comparing generalised maximum entropy and partial least squares methods for structural equation models (2009)
  17. Schittkowski, Klaus: An active set strategy for solving optimization problems with up to 200,000,000 nonlinear constraints (2009)
  18. Edström, Per: A two-phase parameter estimation method for radiative transfer problems in paper industry applications (2008)
  19. Eichfelder, Gabriele: Adaptive scalarization methods in multiobjective optimization (2008)
  20. Farhat, Nidal; Mata, Vicente; Page, Álvaro; Valero, Francisco: Identification of dynamic parameters of a 3-DOF RPS parallel manipulator (2008)

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