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A Note on Using Performance and Data Profiles for Training Algorithms., и . ACM Trans. Math. Softw., 45 (2): 20:1-20:10 (2019)Quasi-Newton methods for constrained nonlinear systems: complexity analysis and applications., , и . Comput. Optim. Appl., 71 (1): 147-170 (2018)Numerical solution of a class of quasi-linear matrix equations., и . CoRR, (2022)An improved penalty algorithm using model order reduction for MIPDECO problems with partial observations., , , и . Comput. Optim. Appl., 84 (1): 191-223 (2023)Exploiting Problem Structure in Derivative Free Optimization., и . ACM Trans. Math. Softw., 48 (1): 6:1-6:25 (2022)A Tensor-Train Dictionary Learning algorithm based on Spectral Proximal Alternating Linearized Minimization., , и . CoRR, (2021)Accelerated Algorithms For Nonlinear Matrix Decomposition With The Relu Function., , , , и . MLSP, стр. 1-6. IEEE, (2023)Preconditioning PDE-constrained optimization with L1-sparsity and control constraints., , и . Comput. Math. Appl., 74 (5): 1059-1075 (2017)BFO, A Trainable Derivative-free Brute Force Optimizer for Nonlinear Bound-constrained Optimization and Equilibrium Computations with Continuous and Discrete Variables., и . ACM Trans. Math. Softw., 44 (1): 6:1-6:25 (2017)A Relaxed Interior Point Method for Low-Rank Semidefinite Programming Problems with Applications to Matrix Completion., , и . J. Sci. Comput., 89 (2): 46 (2021)