Deciding how best to use limited resources is a universal issue that spares no individual or business. In today’s competitive quarter-to quarter environment, it’s critically important to your ...

Abstract: Stochastic optimization is used in several high impact contexts to provide optimal solutions in the face of uncertainties. This paper explores the parallelization of two-stage stochastic ...

This project addresses a real-world integer programming problem involving phased server procurement for a company-wide intranet rollout at CommuniCorp. The challenge involves meeting growing ...

Linear Regression and Gradient Descent Algorithm Project Description This project demonstrates the implementation of Linear Regression using Gradient Descent for optimizing the model's parameters.

Abstract: Energy optimization is a critical challenge in wireless sensor networks (WSNs) due to its direct impact on the network lifetime. This paper proposes the use of the K-means algorithm combined ...

DUBLIN--(BUSINESS WIRE)--Research and Markets(http://www.researchandmarkets.com/research/799091/deterministic_oper) has announced the addition of John Wiley and Sons ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...