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- research-articleOctober 2024
Locally Lipschitz Stability of Solutions to a Parametric Parabolic Optimal Control Problem with Mixed Pointwise Constraints
Applied Mathematics and Optimization (APMO), Volume 90, Issue 2https://doi.org/10.1007/s00245-024-10191-wAbstractA class of parametric optimal control problems governed by semilinear parabolic equations with mixed pointwise constraints is investigated. The perturbations appear in the objective functional, the state equation and in mixed pointwise ...
- research-articleSeptember 2021
Diametrical Risk Minimization: theory and computations
Machine Language (MALE), Volume 112, Issue 8Pages 2933–2951https://doi.org/10.1007/s10994-021-06036-0AbstractThe theoretical and empirical performance of Empirical Risk Minimization (ERM) often suffers when loss functions are poorly behaved with large Lipschitz moduli and spurious sharp minimizers. We propose and analyze a counterpart to ERM called ...
- research-articleAugust 2021
-Stability of a Parametric Optimal Control Problem Governed by Semilinear Elliptic Equations
- research-articleNovember 2020
Approximations of semicontinuous functions with applications to stochastic optimization and statistical estimation
Mathematical Programming: Series A and B (MPRG), Volume 184, Issue 1-2Pages 289–318https://doi.org/10.1007/s10107-019-01413-zAbstractUpper semicontinuous (usc) functions arise in the analysis of maximization problems, distributionally robust optimization, and function identification, which includes many problems of nonparametric statistics. We establish that every usc function ...
- articleAugust 2018
Approximations and solution estimates in optimization
Mathematical Programming: Series A and B (MPRG), Volume 170, Issue 2Pages 479–506https://doi.org/10.1007/s10107-017-1165-0Approximation is central to many optimization problems and the supporting theory provides insight as well as foundation for algorithms. In this paper, we lay out a broad framework for quantifying approximations by viewing finite- and infinite-...
- research-articleOctober 2014
A study on residence error of training an extreme learning machine and its application to evolutionary algorithms
This paper delivers a study on the change of rank of input matrix in Extreme Learning Machine (ELM) and the relationship between the rank of input matrix and the residence error of training an ELM. From the viewpoint of data analysis, the study reveals ...
- articleJune 2008
A general recursive linear method and unique solution pattern design for the perspective-n-point problem
Image and Vision Computing (IAVC), Volume 26, Issue 6Pages 740–750https://doi.org/10.1016/j.imavis.2007.08.008In this paper, a new method for solving the perspective-n-point (PnP) problem is developed. With an auxiliary point, the linear method for the special case of four coplanar points is extended to find the coarse solutions for the general P3P problem. A ...
- articleSeptember 2007
On the solution stability of variational inequalities
Journal of Global Optimization (KLU-JOGO), Volume 39, Issue 1Pages 101–111https://doi.org/10.1007/s10898-006-9125-xIn the present paper, we will study the solution stability of parametric variational conditions $${{0 \in f(\mu, x)+ N_{K(\lambda)}(x)},}$$ where M and are topological spaces, $${f : M \times R^n \to R^n}$$ is a function, $${K : \Lambda\to 2^{R^n}}$$ is ...