Abstract: The increasing radio frequency interference (RFI) caused by other in-band radio frequency users, such as communication systems, affects the waveform-agile tracking performance of cognitive ...

Randall Morck of the Alberta School of Business says economists too often regard people as "dynamic, stochastic optimization ...

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning.

Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of ...

Fruchter, G. (2026) Opportunism in Supply Chain Recommendations: A Dynamic Optimization Approach. Modern Economy, 17, 26-38.

Abstract: Stochastic compositional optimization generalizes classic (non-compositional) stochastic optimization to the minimization of compositions of functions. Each composition may introduce an ...

In order to give full play to the energy supply potential of distributed energy resources, this paper studies the scheduling optimization of CHP-VPP. First, the CHP unit and various distributed energy ...

ABSTRACT: The development of artificial intelligence (AI), particularly deep learning, has made it possible to accelerate and improve the processing of data collected in different fields (commerce, ...

Acts of stochastic terrorism appear to be on the rise, according to extremism experts. Stochastic terrorism is a type of extremist violence that is borne of increasing polarization. "We know that an ...

Recently joint radar communication (JRC) systems have gained considerable interest for several applications such as vehicular communications, indoor localization and activity recognition, covert ...