Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine ...

Want your business to show up in Google’s AI-driven results? The same principles that help you rank in Google Search still matter – but AI introduces new dimensions of context, reputation, and ...

本项目以“带次模惩罚费用的平行机客户订单调度优化”为方向，研究在多台平行机的制造环境下如何有效分配和调度客户订单。次模惩罚费用机制的引入，使得调度模型可以更灵活地反映实际中的分段性惩罚需求——即拒绝订单惩罚不再是固定的，而是随着 ...

SASSHA is a novel second-order method designed to enhance generalization by explicitly reducing sharpness of the solution, while stabilizing the computation of approximate Hessians along the ...

Abstract: An inner approximation algorithm is proposed for path-constrained dynamic optimization (PCDO) by iteratively solving restrictions of PCDO (RPCDO). First, an upper bound function of the path ...

Abstract: An inner approximation algorithm is proposed for path-constrained dynamic optimization (PCDO) by iteratively solving restrictions of PCDO (RPCDO). Firstly, an upper bound function of the ...

1 School of Mathematics and Statistics, Sichuan University of Science and Engineering, Zigong, China. 2 Institute of Computational Mathematics and Scientific/Engineering Computing, Chinese Academy of ...

Stochastic approximation algorithms are used to approximate solutions to fixed point equations that involve expectations of functions with respect to possibly unknown distributions. Among many ...