Jonathan Eckstein, Nonlinear Proximal Point Algorithms Using Bregman Functions, with Applications to Convex Programming, Mathematics of Operations Research, Vol. 18, No. 1 (Feb., 1993), pp. 202-226 ...

Abstract. In this paper, some interval valued programming problems are discussed. The solution concepts are adopted fromWu [7] and Chalco-Cano et al. [34]. By considering generalized Hukuhara ...

Modern advancements in hardware implementation of Deep Neural Networks (DNNs) have underscored the need for efficient and accurate nonlinear activation function approximations to reduce computational ...

The pedestrian’s position and velocity are measured sequentially, and the robot’s trajectory is generated based on the results using a nonlinear programming method, followed by Model Predictive ...

Electrodialysis (ED) presents a competitive method for desalinating brackish waters. Herein we perform cost optimization of a single-stack ED system across a range of feed salinities and water ...