Discover how to calculate covariance to assess stock relationships and optimize your portfolio, balancing risk and potential ...

Abstract: Simulating multivariate random variables is essential in data analytics as it allows for more accurate modeling, improved decision-making, and a better understanding of complex systems and ...

In residential real estate appraisal, accuracy, credibility, objectivity, and reliability are paramount. Appraisers, to meet client demands and comply with USPAP, must gather, analyze, and interpret a ...

Abstract: This paper aims to enhance the performance of Multiple-Input-Multiple-Output (MIMO) radar systems by efficiently optimizing the covariance matrix and antenna selection vector to minimize the ...

Scientific Machine Learning (SciML) represents a multi-disciplinary approach that fuses the physical laws governing a system (such as equations from physics or engineering) with data-driven machine ...

to use with the generic conic programming software Hypatia. We currently have implementations for the following variants of quantum relative entropy. The main dependencies of our code are Julia and ...