Sensitivity analysis helps predict outcomes by varying key variables in financial models. It simplifies complex models, aids in understanding variable effects, and reduces uncertainty. This analysis ...

We investigate glucose-insulin regulation through a delay differential equation model formulated in Sobolev spaces. A physiologically motivated time delay is incorporated into an advanced modeling ...

Computational models have made great process toward simulating complex physical phenomena. With this progress has come a significant increase in the computational cost and software complexity of the ...

ABSTRACT: There is a set of points in the plane whose elements correspond to the observations that are used to generate a simple least-squares regression line. Each value of the independent variable ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The techniques of computational photodynamics are increasingly employed to unravel ...

Abstract: Linear programming representations for discrete-event simulation provide an alternative approach for analyzing discrete-event simulations. This paper presents several formulations for G/G/m ...

NVIDIA's cuOpt leverages GPU technology to drastically accelerate linear programming, achieving performance up to 5,000 times faster than traditional CPU-based solutions. The landscape of linear ...