Nadezda Sukhorukova

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 12

Top Topics

Convex Optimisation

Linear Least Squares

Top Venues

Appl. Math. Comput.

J. Optim. Theory Appl.

Adv. Comput. Math.

Publications

Vinesha Peiris, Vera Roshchina, Nadezda Sukhorukova
Artificial neural networks with uniform norm-based loss functions. Adv. Comput. Math. 50 (3) (2024)
Vera Roshchina, Nadezda Sukhorukova, Julien Ugon
Uniqueness of solutions in multivariate Chebyshev approximation problems. Optim. Lett. 18 (1) (2024)
Vinesha Peiris, Reinier Díaz Millán, Nadezda Sukhorukova, Julien Ugon
A comparison of rational and neural network based approximations. CoRR (2023)
Nadezda Sukhorukova, Julien Ugon
A generalisation of de la Vallée-Poussin procedure to multivariate approximations. Adv. Comput. Math. 48 (1) (2022)
Vinesha Peiris, Nir Sharon, Nadezda Sukhorukova, Julien Ugon
Generalised rational approximation and its application to improve deep learning classifiers. Appl. Math. Comput. 389 (2021)
Vinesha Peiris, Nadezda Sukhorukova, Vera Roshchina
Deep Learning with Nonsmooth Objectives. CoRR (2021)
R. Díaz Millán, Nadezda Sukhorukova, Julien Ugon
An algorithm for best generalised rational approximation of continuous functions. CoRR (2020)
Nadezda Sukhorukova
Two curve Chebyshev approximation and its application to signal clustering. Appl. Math. Comput. 356 (2019)
Jean-Pierre Crouzeix, Nadezda Sukhorukova, Julien Ugon
Characterization Theorem for Best Polynomial Spline Approximation with Free Knots, Variable Degree and Fixed Tails. J. Optim. Theory Appl. 172 (3) (2017)
Z. Roshan Zamir, Nadezda Sukhorukova
Linear least squares problems involving fixed knots polynomial splines and their singularity study. Appl. Math. Comput. 282 (2016)
Nadezda Sukhorukova, Julien Ugon
Chebyshev Approximation by Linear Combinations of Fixed Knot Polynomial Splines with Weighting Functions. J. Optim. Theory Appl. 171 (2) (2016)
Z. Roshan Zamir, Nadezda Sukhorukova, Hélène Amiel, Adrien Ugon, Carole Philippe
Convex optimisation-based methods for K-complex detection. Appl. Math. Comput. 268 (2015)
Huy Quan Vu, Gang Li, Nadezda Sukhorukova, Gleb Beliakov, Shaowu Liu, Carole Philippe, Hélène Amiel, Adrien Ugon
K-Complex Detection Using a Hybrid-Synergic Machine Learning Method. IEEE Trans. Syst. Man Cybern. Part C 42 (6) (2012)
Nadezda Sukhorukova
Uniform Approximation by the Highest Defect Continuous Polynomial Splines: Necessary and Sufficient Optimality Conditions and Their Generalisations. J. Optim. Theory Appl. 147 (2) (2010)
Nadezda Sukhorukova, Julien Ugon, John Yearwood
Workload coverage through nonsmooth optimization. Optim. Methods Softw. 24 (2) (2009)
Nadezda Sukhorukova
A generalization of the Remez algorithm to a class of linear spline approximation problems with constraints on spline parameters. Optim. Methods Softw. 23 (5) (2008)