Detailed Numerical Results for "Interior-Point Methods for Nonconvex Nonlinear Programming: Regularization and Warmstarts"

by Hande Y. Benson and David F. Shanno

• Warmstarting results on NLPs from engineering applications
  • Model files
  • Command files
• Warmstarting results on the convex QPs from the CUTEr test set:
  • Perturbing the objective function coefficients
  • Perturbing the constraint right-hand-sides
  • Perturbing the constraint coefficients
• Warmstarting results on NLPs from the CUTEr test set:
  • Perturbing the objective function coefficients of NLPs with linear objective functions
  • Perturbing the constraint right-hand-sides of NLPs with linear constraints
  • Perturbing the constraint coefficients of NLPs with linear constraints
• Warmstarting results on the Hock and Schittkowski test set
• Warmstarting results on the MINLPLib test set
• Default LOQO to Penalty LOQO Comparison on the CUTEr test set
• Default LOQO to Hybrid LOQO Comparison on the CUTEr test set
• Hybrid LOQO to IPOPT Comparison on the CUTEr test set

Detailed Numerical Results for "Interior-Point Methods for Nonconvex Nonlinear Programming: Convergence Analysis and Computational Performance"

by Hande Y. Benson, Arun Sen, and David F. Shanno

• Comparison of LOQO, hybrid LOQO/primal-dual penalty method, and the convergent algorithm on small problems from the CUTEr test set (up to 100 variables and/or constraints)