2 papers
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.FA2017
Directional short-time Fourier transform and directional regularity
Sanja Atanasova, Stevan Pilipovic, Katerina Saneva
We give some new results related to the directional short-time Fourier transform (DSTFT) and extend them on the spaces and $\mathcal K_{1}({\mathbb…