- From Jacobian to Hessian: distributional form and relaxation +12005 | Faculty of Mathematics and Physics
- Approximation by mappings with singular Hessian minors2018 | Faculty of Mathematics and Physics
- Fast calculations of the gradient and the Hessian in the time-domain global electromagnetic induction inverse problem2017 | Faculty of Mathematics and Physics
- A strictly convex Sobolev function with null Hessian minors2016 | Faculty of Mathematics and Physics
- The effect of Hessian evaluations in the global optimization alphaBB method2017 | Faculty of Mathematics and Physics
- An extension of the αBB-type underestimation to linear parametric Hessian matrices2016 | Faculty of Mathematics and Physics
- A note on Sobolev isometric immersions below W-2,W-2 regularity2017 | Faculty of Mathematics and Physics
- On the efficient Gerschgorin inclusion usage in the global optimization alpha BB method2015 | Faculty of Mathematics and Physics
- Sufficient Conditions for Pseudoconvexity by Using Linear Interval Parametric Techniques2019 | Faculty of Mathematics and Physics
- Government models and coalition behavior in Hesse 1946-2009 : From SPD dominance to its decline2009 | Faculty of Social Sciences
- Linear interval parametric approach to testing pseudoconvexity2021 | Faculty of Mathematics and Physics
- Solving reachability problems by a scalable constrained optimization method2020 | Faculty of Mathematics and Physics
- Estimation of the parameters of the map's projection using the quasi-Newton method : hybrid Broyden-Fletcher-Goldfarb-Shanno methodPublication without faculty affiliation
- Estimation of the parameters of the map's projection using the trust region approach : modified More-Sorensen methodPublication without faculty affiliation
- Robust regression for mixed Poisson-Gaussian model2018 | Faculty of Mathematics and Physics
- Automatic,robust,and globally optimal segmentation of tubular structures2016 | First Faculty of Medicine, Faculty of Physical Education and Sport
- Sparse L1-norm quadratic surface support vector machine with Universum data2023 | Faculty of Mathematics and Physics