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math.OC2024
Gradient Descent Methods for Regularized Optimization
Filip Nikolovski, Irena Stojkovska, Katerina Hadzi-Velkova Saneva +1
Regularization is a widely recognized technique in mathematical optimization. It can be used to smooth out objective functions, refine the feasible solution set, or prevent overfit…
math.FA2024
Asymptotic analysis for generalized functions using frames
Jasmina Veta Buralieva, Diana T. Stoeva, Katerina Hadzi-Velkova Saneva +1
This paper is a short overview of the main Abelian- and Tauberian-type results from [4, 14, 26] regarding the asymptotic analysis of different classes of generalized functions in t…