For an arbitrarily given initial point, the trajectory of the network converges to an optimal solution of the convex nonlinear programming problem under no more than the standard assumptions. In ...

Abstract: Reliability-Security Constrained Unit Commitment (RSCUC) with emphasis on Mixed Integer Nonlinear Programming (MINLP ... integer master program and network security check non-linear ...

Students are then expected to apply and demonstrate knowledge of machine learning and data science with a group project involving a real-life supply chain problem ... such as linear and nonlinear ...

This project is aimed at implementing nonlinear programming algorithms as the (un-)constrained minimization problems with the focus on their ... models more precisely and accurately than their linear ...

PaPILO, a C++14-based software package, provides parallel presolve routines for (mixed integer) linear programming problems. The routines are implemented ... and provides the fastest available numeric ...

While the answer of TypeScript’s creators is “yes,” academic researchers who work on similar programming languages tend to ...

Explore nonlinear thinking in problem solving and how it fosters creativity, adaptability, and innovation in today’s complex world.

In a world where lifelong tenure at a single company is a thing of the past and the workplace is being rapidly reshaped by ...

The framework leverages tree automata to compactly represent sets of quantum states; transformers implement the semantics of quantum gates over this representation. Yu-Fang Chen, Kai-Min Chung, Ondřej ...

State Key Laboratory of Chemical Engineering, East China University of Science and Technology, 130 Meilong Road, 200237 Shanghai, China ...