论文信息 - OPM, a collection of Optimization Problems in Matlab - 字舞流文

OPM, a collection of Optimization Problems in Matlab

OPM is a small collection of CUTEst unconstrained and bound-constrained nonlinear optimization problems, which can be used in Matlab for testing optimization algorithms directly (i.e. without installing additional software).

Serge Gratton | Philippe L. Toint

[1] Jorge J. Moré,et al. COPS: Large-scale nonlinearly constrained optimization problems , 2000 .

[2] P. Toint,et al. Exploiting Problem Structure in Derivative Free Optimization , 2022, ACM Trans. Math. Softw..

[3] P. Toint,et al. Partitioned variable metric updates for large structured optimization problems , 1982 .

[4] Jorge J. Moré,et al. Testing Unconstrained Optimization Software , 1981, TOMS.

[5] Andreas Griewank,et al. On the unconstrained optimization of partially separable functions , 1982 .

[6] Nicholas I. M. Gould,et al. CUTEst: a Constrained and Unconstrained Testing Environment with safe threads for mathematical optimization , 2013, Computational Optimization and Applications.

[7] Philippe L. Toint,et al. Optimizing partially separable functions without derivatives , 2005, Optim. Methods Softw..